---
title: "Medical Research Council: funded research papers"
description: "From 2017 to 2026 (so far), Medical Research Council was named as a funder of 538 papers in the tracked journals, most of them in health economics and policy (299), AI (97) and economics (60). 56 of them were published in 2025, against 51 in 2017."
url: https://scholar4ai.com/funders/medical-research-council
markdown_url: https://scholar4ai.com/funders/medical-research-council.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From 2017 to 2026 (so far), Medical Research Council was named as a funder of 538 papers in the tracked journals, most of them in health economics and policy (299), AI (97) and economics (60). 56 of them were published… (as of 2026-10-31)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-31T17:45:59+09:00
window: 2026-10-02 to 2026-10-31
source: OpenAlex (CC0)
---

# Medical Research Council

Papers in the tracked journals that name Medical Research Council as a funder. Funders are the organisations OpenAlex links to a paper from its funding information (Crossref metadata and the paper's acknowledgements); a paper counts once for each funder it names. Grant numbers are not shown.

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

## Key findings

- From 2017 to 2026 (so far), Medical Research Council was named as a funder of 538 papers in the tracked journals, most of them in health economics and policy (299), AI (97) and economics (60).
- 56 of them were published in 2025, against 51 in 2017.
- Since 2023, the institutions with the most of these papers were Imperial College London (31), University of Cambridge (26) and Monash University (21).
- The journals publishing most of them were Health Research Policy and Systems (36), PharmacoEconomics (19) and Nature Machine Intelligence (13).
- The most-cited of them is “Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans” (Nature Machine Intelligence, 2021), with 1,043 citations.

## 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) | 30 | 31 | 21 | 35 | 35 | 41 | 32 | 30 | 27 | 17 |
| [AI](https://scholar4ai.com/categories/ai.md) | 6 | 2 | 7 | 9 | 9 | 14 | 23 | 9 | 13 | 5 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 6 | 6 | 5 | 5 | 8 | 8 | 3 | 5 | 8 | 6 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 3 | 8 | 6 | 3 | 4 | 6 | 5 | 4 | 3 | 4 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 3 | 3 | 0 | 2 | 1 | 2 | 1 | 1 | 2 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 2 | 1 | 1 | 3 | 2 | 1 | 1 | 0 | 2 | 1 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 51 | 51 | 40 | 57 | 61 | 72 | 65 | 51 | 56 | 34 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Health Research Policy and Systems](https://scholar4ai.com/journals/health-research-policy-and-systems.md) | 36 |
| 2 | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 19 |
| 3 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 13 |
| 4 | [PharmacoEconomics - Open](https://scholar4ai.com/journals/pharmacoeconomics-open.md) | 10 |
| 5 | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 9 |
| 6 | [Applied Health Economics and Health Policy](https://scholar4ai.com/journals/applied-health-economics-and-health-policy.md) | 9 |
| 7 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 8 |
| 8 | [Health Policy](https://scholar4ai.com/journals/health-policy.md) | 5 |
| 9 | [The European Journal of Health Economics](https://scholar4ai.com/journals/the-european-journal-of-health-economics.md) | 5 |
| 10 | [Health Economics Review](https://scholar4ai.com/journals/health-economics-review.md) | 5 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Imperial College London | 31 |
| 2 | University of Cambridge | 26 |
| 3 | Monash University | 21 |
| 4 | University of Oxford | 19 |
| 5 | The University of Sydney | 18 |
| 6 | University College London | 17 |
| 7 | London School of Hygiene & Tropical Medicine | 14 |
| 8 | The University of Melbourne | 14 |
| 9 | MRC Biostatistics Unit | 13 |
| 10 | Deakin University | 11 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United Kingdom | 157 |
| 2 | Australia | 58 |
| 3 | United States | 28 |
| 4 | China | 18 |
| 5 | South Africa | 15 |
| 6 | Spain | 9 |
| 7 | Singapore | 9 |
| 8 | Italy | 8 |
| 9 | Norway | 6 |
| 10 | Saudi Arabia | 6 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | stakeholder engagement | 14 |
| 2 | [cost-effectiveness](https://scholar4ai.com/keywords/cost-effectiveness.md) | 11 |
| 3 | health technology assessment | 9 |
| 4 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 8 |
| 5 | economic evaluation | 7 |
| 6 | low- and middle-income countries | 7 |
| 7 | computational efficiency | 6 |
| 8 | evidence-informed policy | 6 |
| 9 | health care costs | 6 |
| 10 | health disparities | 6 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 1,043 | 15.4 | [Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans](https://doi.org/10.1038/s42256-021-00307-0) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2021-03-15 | Michael Roberts, Derek Driggs, Matthew Thorpe et al. |
| 2 | 717 | 11.8 | [Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models](https://doi.org/10.1109/tpami.2021.3116668) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2021-09-30 | Sam Bond-Taylor, Adam Leach, Yang Long et al. |
| 3 | 442 | 5.1 | [catch22: CAnonical Time-series CHaracteristics](https://doi.org/10.1007/s10618-019-00647-x) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 2019-08-09 | Carl H Lubba, Sarab S. Sethi, Philip Knaute et al. |
| 4 | 382 | 9.3 | [Deep learning in food category recognition](https://doi.org/10.1016/j.inffus.2023.101859) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2023-05-27 | Yudong Zhang, Lijia Deng, Hengde Zhu et al. |
| 5 | 305 | 4.6 | [Investor rewards to environmental responsibility: Evidence from the COVID-19 crisis](https://doi.org/10.1016/j.jcorpfin.2021.101948) | [Journal of Corporate Finance](https://scholar4ai.com/journals/journal-of-corporate-finance.md) | 2021-04-18 | Alexandre Garel, Arthur Petit-Romec |
| 6 | 279 | 3.8 | [A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology](https://doi.org/10.1109/tpami.2020.3013679) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2020-09-04 | James R. Clough, Nick Byrne, İlkay Öksüz et al. |
| 7 | 171 | 2.5 | [Code-free deep learning for multi-modality medical image classification](https://doi.org/10.1038/s42256-021-00305-2) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2021-03-01 | Edward Korot, Zeyu Guan, Daniel Ferraz et al. |
| 8 | 155 | 2.7 | [Gender differences in active travel in major cities across the world](https://doi.org/10.1007/s11116-021-10259-4) | [Transportation](https://scholar4ai.com/journals/transportation.md) | 2022-01-02 | Rahul Goel, Oyinlola O Oyebode, Louise S. Foley et al. |
| 9 | 152 | 2.7 | [Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions](https://doi.org/10.1016/j.inffus.2022.01.001) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2022-01-24 | Nan Yang, Javier Del Ser, Simon L. F. Walsh et al. |
| 10 | 151 | 3.3 | [Analysing the Efficiency of Health Systems: A Systematic Review of the Literature](https://doi.org/10.1007/s40258-022-00785-2) | [Applied Health Economics and Health Policy](https://scholar4ai.com/journals/applied-health-economics-and-health-policy.md) | 2022-12-27 | Rahab Mbau, Anita Musiega, Lizah Nyawira et al. |

## Cite this page

Scholar4AI. (2026). Medical Research Council. Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/funders/medical-research-council

```bibtex
@misc{scholar4ai-funders-medical-research-council,
  author = {{Scholar4AI}},
  title = {Medical Research Council},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/funders/medical-research-council}},
  urldate = {2026-10-31},
  note = {Journal 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/).