---
title: "AstraZeneca (Sweden): research papers"
description: "From 2017 to 2026 (so far), authors at AstraZeneca (Sweden) took part in 38 papers in the tracked journals, most of them in health economics and policy (18), AI (12) and statistics (8). 5 of them were published in 2025, against 7 in 2017."
url: https://scholar4ai.com/companies/astrazeneca-sweden
markdown_url: https://scholar4ai.com/companies/astrazeneca-sweden.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From 2017 to 2026 (so far), authors at AstraZeneca (Sweden) took part in 38 papers in the tracked journals, most of them in health economics and policy (18), AI (12) and statistics (8). 5 of them were published in 2025… (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# AstraZeneca (Sweden)

[Browse company research profiles](https://scholar4ai.com/companies/directory.md)

Papers in the tracked journals with an author at AstraZeneca (Sweden): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education.

Back to the ranking: https://scholar4ai.com/rankings/companies.md

## Key findings

- From 2017 to 2026 (so far), authors at AstraZeneca (Sweden) took part in 38 papers in the tracked journals, most of them in health economics and policy (18), AI (12) and statistics (8).
- 5 of them were published in 2025, against 7 in 2017.
- Since 2023, the institutions with the most of these papers were AstraZeneca (United Kingdom) (7), AstraZeneca (United States) (3) and University of Sheffield (3).
- The journals publishing most of them were Nature Machine Intelligence (6), Metrika (2) and The European Journal of Health Economics (2).
- The most-cited of them is “Interpretable bilinear attention network with domain adaptation improves drug–target prediction” (Nature Machine Intelligence, 2023), with 370 citations.
- Since 2023, papers in the tracked journals cited 12 of its papers 68 times; 97% of those links came from papers with a university author and 0% from its own papers.
- Its own papers since 2023 cite archived papers 23 times, 30% of them papers with a company author.
- Across everything OpenAlex indexes, AstraZeneca (Sweden) has 14,062 works with 1,613,856 citations (h-index 405).
- The tracked journals hold 34 of its 5,861 works in OpenAlex from 2017 to 2025 (0.6%).
- Its main research topics in OpenAlex are Asthma and respiratory diseases (1,209), Computational Drug Discovery Methods (1,104) and Chronic Obstructive Pulmonary Disease (COPD) Research (1,058).
- OpenAlex lists it under AstraZeneca (United Kingdom).

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 6 | 0 | 4 | 2 | 1 | 0 | 2 | 0 | 2 | 1 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 1 | 2 | 2 | 1 | 2 | 2 | 2 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 1 | 1 | 0 | 0 | 1 | 2 | 1 | 0 | 1 | 1 |
| All categories | 7 | 1 | 4 | 3 | 4 | 4 | 4 | 2 | 5 | 4 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 6 |
| 2 | [Metrika](https://scholar4ai.com/journals/metrika.md) | 2 |
| 3 | [The European Journal of Health Economics](https://scholar4ai.com/journals/the-european-journal-of-health-economics.md) | 2 |
| 4 | [PharmacoEconomics - Open](https://scholar4ai.com/journals/pharmacoeconomics-open.md) | 2 |
| 5 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |
| 6 | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 1 |
| 7 | [BMC Medical Research Methodology](https://scholar4ai.com/journals/bmc-medical-research-methodology.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [AstraZeneca (United Kingdom)](https://scholar4ai.com/companies/astrazeneca-united-kingdom.md) | 7 |
| 2 | AstraZeneca (United States) | 3 |
| 3 | [University of Sheffield](https://scholar4ai.com/institutions/university-of-sheffield.md) | 3 |
| 4 | Chalmers University of Technology | 2 |
| 5 | Karolinska Institutet | 2 |
| 6 | [Novartis (Switzerland)](https://scholar4ai.com/companies/novartis-switzerland.md) | 2 |
| 7 | Recursion (United States) | 2 |
| 8 | University Medical Center Groningen | 2 |
| 9 | University of Gothenburg | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | Sweden | 15 |
| 2 | United Kingdom | 10 |
| 3 | United States | 4 |
| 4 | Switzerland | 2 |
| 5 | Germany | 2 |
| 6 | Netherlands | 2 |
| 7 | Poland | 2 |
| 8 | Belgium | 1 |
| 9 | Canada | 1 |
| 10 | Indonesia | 1 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [cost-effectiveness](https://scholar4ai.com/keywords/cost-effectiveness.md) | 4 |
| 2 | denoising diffusion probabilistic models | 2 |
| 3 | drug discovery | 2 |
| 4 | incremental cost-effectiveness ratio | 2 |
| 5 | inverse protein folding | 2 |
| 6 | [quality-adjusted life years](https://scholar4ai.com/keywords/quality-adjusted-life-years.md) | 2 |
| 7 | AI validation | 1 |
| 8 | EQ-5D-5L | 1 |
| 9 | Fisher information | 1 |
| 10 | HER2-negative breast cancer | 1 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 370 | 8.2 | [Interpretable bilinear attention network with domain adaptation improves drug–target prediction](https://doi.org/10.1038/s42256-022-00605-1) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2023-02-02 | Peizhen Bai, Filip N. Miljković, Bino John et al. |
| 2 | 235 | 3.0 | [Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks](https://doi.org/10.1038/s42256-020-0174-5) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2020-05-18 | Panagiotis-Christos Kotsias, Josep Arús‐Pous, Hongming Chen et al. |
| 3 | 94 | 1.0 | [Estimating Lifetime Benefits Associated with Immuno-Oncology Therapies: Challenges and Approaches for Overall Survival Extrapolations](https://doi.org/10.1007/s40273-019-00806-4) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 2019-05-18 | Mario Ouwens, Pralay Mukhopadhyay, Yiduo Zhang et al. |
| 4 | 59 | 1.1 | [Improving de novo molecular design with curriculum learning](https://doi.org/10.1038/s42256-022-00494-4) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2022-06-22 | Jeff Guo, Vendy Fialková, Juan Diego Arango et al. |
| 5 | 56 | 0.7 | [Economic Modelling of Chronic Kidney Disease: A Systematic Literature Review to Inform Conceptual Model Design](https://doi.org/10.1007/s40273-019-00835-z) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 2019-09-30 | Daniel Sugrue, Thomas T. Ward, Sukhvir Rai et al. |
| 6 | 42 | 2.1 | [Data-driven federated learning in drug discovery with knowledge distillation](https://doi.org/10.1038/s42256-025-00991-2) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2025-03-05 | Thierry Hanser, Ernst Ahlberg, Alexander Amberg et al. |
| 7 | 38 | 1.2 | [Utilizing reinforcement learning for de novo drug design](https://doi.org/10.1007/s10994-024-06519-w) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2024-04-08 | Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist et al. |
| 8 | 32 | 1.3 | [A call for an industry-led initiative to critically assess machine learning for real-world drug discovery](https://doi.org/10.1038/s42256-024-00911-w) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2024-10-04 | Cas Wognum, Jeremy R. Ash, Matteo Aldeghi et al. |
| 9 | 17 | 0.2 | [Healthcare Cost Development in a Type 2 Diabetes Patient Population on Glucose-Lowering Drug Treatment: A Nationwide Observational Study 2006–2014](https://doi.org/10.1007/s41669-017-0063-y) | [PharmacoEconomics - Open](https://scholar4ai.com/journals/pharmacoeconomics-open.md) | 2017-11-27 | David Nathanson, Ugne Sabale, Jan W. Eriksson et al. |
| 10 | 14 | 0.1 | [A three-dimensional anisotropic point process characterization for pharmaceutical coatings](https://doi.org/10.1016/j.spasta.2017.05.003) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2017-06-20 | Henrike Häbel, Tuomas Rajala, Mariagrazia Marucci et al. |

## Who cites its research

*Institutions whose papers cite it most, since 2023*

| # | Institution | Kind | Country | Links |
|---:|---|---|---|---:|
| 1 | [Soochow University](https://scholar4ai.com/institutions/soochow-university.md) | University | China | 6 |
| 2 | [Anhui University](https://scholar4ai.com/institutions/anhui-university.md) | University | China | 3 |
| 3 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | University | China | 3 |
| 4 | [Bristol-Myers Squibb (United States)](https://scholar4ai.com/companies/bristol-myers-squibb-united-states.md) | Company | United States | 3 |
| 5 | [Bristol-Myers Squibb (United Kingdom)](https://scholar4ai.com/companies/bristol-myers-squibb-united-kingdom.md) | Company | United Kingdom | 3 |
| 6 | [University of Sheffield](https://scholar4ai.com/institutions/university-of-sheffield.md) | University | United Kingdom | 3 |
| 7 | [Beijing Institute of Technology](https://scholar4ai.com/institutions/beijing-institute-of-technology.md) | University | China | 2 |
| 8 | University Medical Center Groningen | Healthcare | Netherlands | 2 |
| 9 | [Central South University](https://scholar4ai.com/institutions/central-south-university.md) | University | China | 2 |
| 10 | Anhui Agricultural University | University | China | 2 |

## What its papers cite

*Institutions its papers cite most, since 2023*

| # | Institution | Kind | Country | Links |
|---:|---|---|---|---:|
| 1 | [University of Toronto](https://scholar4ai.com/institutions/university-of-toronto.md) | University | Canada | 3 |
| 2 | [University of Alberta](https://scholar4ai.com/institutions/university-of-alberta.md) | University | Canada | 2 |
| 3 | [Bristol-Myers Squibb (United States)](https://scholar4ai.com/companies/bristol-myers-squibb-united-states.md) | Company | United States | 2 |
| 4 | University Medical Center Hamburg-Eppendorf | Healthcare | Germany | 2 |
| 5 | [Bristol-Myers Squibb (United Kingdom)](https://scholar4ai.com/companies/bristol-myers-squibb-united-kingdom.md) | Company | United Kingdom | 2 |
| 6 | [Health Economics and Outcomes Research (United Kingdom)](https://scholar4ai.com/companies/health-economics-and-outcomes-research-united-kingdom.md) | Company | United Kingdom | 2 |
| 7 | Universidad de Navarra | University | Spain | 2 |
| 8 | [University of Sheffield](https://scholar4ai.com/institutions/university-of-sheffield.md) | University | United Kingdom | 2 |
| 9 | University of North Carolina at Charlotte | University | United States | 1 |
| 10 | [AstraZeneca (United Kingdom)](https://scholar4ai.com/companies/astrazeneca-united-kingdom.md) | Company | United Kingdom | 1 |

More: https://scholar4ai.com/corporate-citations.md · https://scholar4ai.com/industry-university.md

## In OpenAlex

*AstraZeneca (Sweden) in OpenAlex*

| Item | Value |
|---|---|
| Type | Company |
| Location | Södertälje, Stockholm, Sweden |
| Part of | [AstraZeneca (United Kingdom)](https://scholar4ai.com/companies/astrazeneca-united-kingdom.md) |
| Units listed in OpenAlex | 1 |
| Works in OpenAlex | 14,062 |
| Citations | 1,613,856 |
| h-index | 405 |
| i10-index | 21,157 |
| 2-year mean citedness | 8.18 |
| Website | [www.astrazeneca.com](http://www.astrazeneca.com/) |
| ROR | [ror.org/04wwrrg31](https://ror.org/04wwrrg31) |
| OpenAlex | [openalex.org/I4210143795](https://openalex.org/I4210143795) |

*Works and citations per year in OpenAlex, and its papers in the tracked journals*

| Year | Works in OpenAlex | Citations received | In the tracked journals | Share |
|---|---:|---:|---:|---:|
| 2026 (so far) | 434 | 41,907 | 4 | 0.9% |
| 2025 | 704 | 51,426 | 5 | 0.7% |
| 2024 | 729 | 51,369 | 2 | 0.3% |
| 2023 | 685 | 47,500 | 4 | 0.6% |
| 2022 | 644 | 45,449 | 4 | 0.6% |
| 2021 | 721 | 44,846 | 4 | 0.6% |
| 2020 | 673 | 37,666 | 3 | 0.4% |
| 2019 | 632 | 29,863 | 4 | 0.6% |
| 2018 | 577 | 25,842 | 1 | 0.2% |
| 2017 | 496 | 24,152 | 7 | 1.4% |

*Main research topics (OpenAlex, all works)*

| # | Topic | Field | Works |
|---:|---|---|---:|
| 1 | Asthma and respiratory diseases | Medicine | 1,209 |
| 2 | Computational Drug Discovery Methods | Computer Science | 1,104 |
| 3 | Chronic Obstructive Pulmonary Disease (COPD) Research | Medicine | 1,058 |
| 4 | Pharmacogenetics and Drug Metabolism | Pharmacology, Toxicology and Pharmaceutics | 903 |
| 5 | Diabetes Treatment and Management | Medicine | 770 |

From OpenAlex's own record of the institution (CC0), read again monthly. Works and citations count everything OpenAlex indexes, not only the tracked journals; topics are OpenAlex's classification of those works.

## Cite this page

Scholar4AI. (2026). AstraZeneca (Sweden). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/astrazeneca-sweden

```bibtex
@misc{scholar4ai-companies-astrazeneca-sweden,
  author = {{Scholar4AI}},
  title = {AstraZeneca (Sweden)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/astrazeneca-sweden}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).