Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

AstraZeneca (Sweden)

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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. Also as Markdown.

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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#

2017: 7 papers2018: 1 paper2019: 4 papers2020: 3 papers2021: 4 papers2022: 4 papers2023: 4 papers2024: 2 papers2025: 5 papers2026 (so far): 4 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Health Economics and Policy6042102021
AI0001221222
Statistics1100121011
All categories7143444254

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1AstraZeneca (United Kingdom)7
2AstraZeneca (United States)3
3University of Sheffield3
4Chalmers University of Technology2
5Karolinska Institutet2
6Novartis (Switzerland)2
7Recursion (United States)2
8University Medical Center Groningen2
9University of Gothenburg2
Countries with the most papers, since 2023
#CountryPapers
1Sweden15
2United Kingdom10
3United States4
4Switzerland2
5Germany2
6Netherlands2
7Poland2
8Belgium1
9Canada1
10Indonesia1
Keywords with the most papers, since 2023
#KeywordPapers
1cost-effectiveness4
2denoising diffusion probabilistic models2
3drug discovery2
4incremental cost-effectiveness ratio2
5inverse protein folding2
6quality-adjusted life years2
7AI validation1
8EQ-5D-5L1
9Fisher information1
10HER2-negative breast cancer1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
13708.2Interpretable bilinear attention network with domain adaptation improves drug–target predictionNature Machine Intelligence2023-02-02Peizhen Bai, Filip N. Miljković, Bino John et al.
22353.0Direct steering of de novo molecular generation with descriptor conditional recurrent neural networksNature Machine Intelligence2020-05-18Panagiotis-Christos Kotsias, Josep Arús‐Pous, Hongming Chen et al.
3941.0Estimating Lifetime Benefits Associated with Immuno-Oncology Therapies: Challenges and Approaches for Overall Survival ExtrapolationsPharmacoEconomics2019-05-18Mario Ouwens, Pralay Mukhopadhyay, Yiduo Zhang et al.
4591.1Improving de novo molecular design with curriculum learningNature Machine Intelligence2022-06-22Jeff Guo, Vendy Fialková, Juan Diego Arango et al.
5560.7Economic Modelling of Chronic Kidney Disease: A Systematic Literature Review to Inform Conceptual Model DesignPharmacoEconomics2019-09-30Daniel Sugrue, Thomas T. Ward, Sukhvir Rai et al.
6422.1Data-driven federated learning in drug discovery with knowledge distillationNature Machine Intelligence2025-03-05Thierry Hanser, Ernst Ahlberg, Alexander Amberg et al.
7381.2Utilizing reinforcement learning for de novo drug designMachine Learning2024-04-08Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist et al.
8321.3A call for an industry-led initiative to critically assess machine learning for real-world drug discoveryNature Machine Intelligence2024-10-04Cas Wognum, Jeremy R. Ash, Matteo Aldeghi et al.
9170.2Healthcare Cost Development in a Type 2 Diabetes Patient Population on Glucose-Lowering Drug Treatment: A Nationwide Observational Study 2006–2014PharmacoEconomics - Open2017-11-27David Nathanson, Ugne Sabale, Jan W. Eriksson et al.
10140.1A three-dimensional anisotropic point process characterization for pharmaceutical coatingsSpatial Statistics2017-06-20Henrike Häbel, Tuomas Rajala, Mariagrazia Marucci et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Soochow UniversityUniversityChina6
2Anhui UniversityUniversityChina3
3Peking UniversityUniversityChina3
4Bristol-Myers Squibb (United States)CompanyUnited States3
5Bristol-Myers Squibb (United Kingdom)CompanyUnited Kingdom3
6University of SheffieldUniversityUnited Kingdom3
7Beijing Institute of TechnologyUniversityChina2
8University Medical Center GroningenHealthcareNetherlands2
9Central South UniversityUniversityChina2
10Anhui Agricultural UniversityUniversityChina2

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1University of TorontoUniversityCanada3
2University of AlbertaUniversityCanada2
3Bristol-Myers Squibb (United States)CompanyUnited States2
4University Medical Center Hamburg-EppendorfHealthcareGermany2
5Bristol-Myers Squibb (United Kingdom)CompanyUnited Kingdom2
6Health Economics and Outcomes Research (United Kingdom)CompanyUnited Kingdom2
7Universidad de NavarraUniversitySpain2
8University of SheffieldUniversityUnited Kingdom2
9University of North Carolina at CharlotteUniversityUnited States1
10AstraZeneca (United Kingdom)CompanyUnited Kingdom1

Citation links inside the tracked journals; see the corporate citation network and industry–university links.

In OpenAlex#

AstraZeneca (Sweden) in OpenAlex
ItemValue
TypeCompany
LocationSödertälje, Stockholm, Sweden
Part ofAstraZeneca (United Kingdom)
Units listed in OpenAlex1
Works in OpenAlex14,062
Citations1,613,856
h-index405
i10-index21,157
2-year mean citedness8.18
Websitewww.astrazeneca.com
RORror.org/04wwrrg31
OpenAlexopenalex.org/I4210143795
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Asthma and respiratory diseasesMedicine1,209
2Computational Drug Discovery MethodsComputer Science1,104
3Chronic Obstructive Pulmonary Disease (COPD) ResearchMedicine1,058
4Pharmacogenetics and Drug MetabolismPharmacology, Toxicology and Pharmaceutics903
5Diabetes Treatment and ManagementMedicine770
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)43441,90740.9%
202570451,42650.7%
202472951,36920.3%
202368547,50040.6%
202264445,44940.6%
202172144,84640.6%
202067337,66630.4%
201963229,86340.6%
201857725,84210.2%
201749624,15271.4%

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

@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}
}

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