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. Also as Markdown.

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Key findings#

From 2017 to 2026 (so far), Medical Research Council was named as a funder of 421 papers in the tracked journals, most of them in health economics and policy (188), AI (97) and economics (59).
48 of them were published in 2025, against 42 in 2017.
Since 2023, the institutions with the most of these papers were Imperial College London (30), University of Cambridge (24) and Monash University (18).
The journals publishing most of them were PharmacoEconomics (19), Nature Machine Intelligence (13) and PharmacoEconomics - Open (10).
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#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
Health Economics and Policy	21	14	13	21	21	28	23	16	20	11
AI	6	2	7	9	9	14	23	9	13	5
Economics	6	6	5	4	8	8	3	5	8	6
Statistics	3	8	6	3	4	6	5	4	3	4
Operations Research	3	3	0	2	1	2	1	1	2	0
Higher Education and Research	2	1	0	2	1	1	1	0	1	0
Information Systems	1	0	0	0	0	0	0	1	0	0
Finance	0	0	0	0	1	0	0	0	0	1
Management	0	0	0	0	1	0	0	0	0	0
Marketing	0	0	0	0	0	0	0	0	1	0
Tourism and Hospitality	0	0	0	0	0	0	0	1	0	0
All categories	42	34	31	41	46	59	56	37	48	27

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	PharmacoEconomics	19
2	Nature Machine Intelligence	13
3	PharmacoEconomics - Open	10
4	Statistics and Computing	9
5	Applied Health Economics and Health Policy	9
6	Expert Systems with Applications	8
7	Health Policy	5
8	The European Journal of Health Economics	5
9	Health Economics Review	5
10	Computational Statistics & Data Analysis	4

Institutions with the most papers, since 2023
#	Institution	Papers
1	Imperial College London	30
2	University of Cambridge	24
3	Monash University	18
4	MRC Biostatistics Unit	13
5	University of Oxford	13
6	University College London	12
7	London School of Hygiene & Tropical Medicine	10
8	The University of Melbourne	10
9	University of Manchester	10
10	University of York	9

Countries with the most papers, since 2023
#	Country	Papers
1	United Kingdom	133
2	Australia	44
3	United States	20
4	China	18
5	Spain	9
6	Singapore	9
7	Italy	8
8	South Africa	7
9	Saudi Arabia	6
10	Thailand	6

Keywords with the most papers, since 2023
#	Keyword	Papers
1	cost-effectiveness	11
2	health technology assessment	9
3	COVID-19 pandemic	7
4	economic evaluation	7
5	computational efficiency	6
6	health care costs	6
7	quality-adjusted life years	6
8	cost-effectiveness analysis	5
9	low- and middle-income countries	5
10	Ethiopia	4

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	Nature Machine Intelligence	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	IEEE Transactions on Pattern Analysis and Machine Intelligence	2021-09-30	Sam Bond-Taylor, Adam Leach, Yang Long et al.
3	442	5.1	catch22: CAnonical Time-series CHaracteristics	Data Mining and Knowledge Discovery	2019-08-09	Carl H Lubba, Sarab S. Sethi, Philip Knaute et al.
4	382	9.3	Deep learning in food category recognition	Information Fusion	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	Journal of Corporate Finance	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	IEEE Transactions on Pattern Analysis and Machine Intelligence	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	Nature Machine Intelligence	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	Transportation	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	Information Fusion	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	Applied Health Economics and Health Policy	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

@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}
}

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