UK Biobank

data category: Medical and clinical datasets · 0 papers in the last 7 days

← Most-used data · All Medical and clinical datasets datasets

Clinical records, medical images and physiological signals used in medical machine learning.

Names searched for: UK Biobank

Key findings#

From Nov 2023 to Oct 2026, 124 archived papers mentioned UK Biobank in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (8).
UK Biobank was mentioned in 5 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #64 of the 246 datasets mentioned.
By journal category: AI (2), Statistics (2) and Health Economics and Policy (1).
Most of them appeared in Medical Image Analysis (1), Lifetime Data Analysis (1) and Artificial Intelligence Review (1).
From 2017 to 2026 (so far), UK Biobank was mentioned in 162 papers in the tracked journals, most of them in AI (80), health economics and policy (47) and statistics (17).
43 of them were published in 2025, against 1 in 2017.
Since 2023, the institutions with the most of these papers were University of Oxford (11), University College London (9) and Queen Mary University of London (6).
The journals publishing most of them were Medical Image Analysis (13), Artificial Intelligence Review (12) and Social Science & Medicine (8).
The most-cited of them is “Federated learning for medical image analysis: A survey” (Pattern Recognition, 2024), with 522 citations.
Papers use UK Biobank most often with ImageNet (13), MIMIC (9) and MNIST / Fashion-MNIST (8); it has 14 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	44	39	41	124

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)
AI	1	0	2	2	4	6	4	26	21	14
Health Economics and Policy	0	1	0	1	3	4	9	9	9	11
Statistics	0	1	0	0	0	1	1	5	5	4
Economics	0	0	0	0	0	2	1	1	4	1
Operations Research	0	0	0	0	0	0	0	0	2	1
Information Systems	0	0	0	0	0	0	0	2	0	1
Finance	0	0	0	0	0	0	0	1	1	0
Marketing	0	0	0	0	0	0	0	0	1	0
All categories	1	2	2	3	7	13	15	44	43	32

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Medical Image Analysis	13
2	Artificial Intelligence Review	12
3	Social Science & Medicine	8
4	Journal Of Big Data	8
5	SSM - Population Health	8
6	Nature Machine Intelligence	7
7	Expert Systems with Applications	6
8	PharmacoEconomics	4
9	Artificial Intelligence in Medicine	3
10	Lifetime Data Analysis	3

Institutions with the most papers, since 2023
#	Institution	Papers
1	University of Oxford	11
2	University College London	9
3	Queen Mary University of London	6
4	Technical University of Munich	6
5	University of Bristol	6
6	University of Manchester	6
7	Harvard University	5
8	Huazhong University of Science and Technology	5
9	Imperial College London	5
10	King's College London	4

Countries with the most papers, since 2023
#	Country	Papers
1	United Kingdom	47
2	United States	40
3	China	20
4	Germany	18
5	Italy	10
6	Australia	8
7	South Korea	8
8	Spain	7
9	Switzerland	6
10	Austria	4

Keywords with the most papers, since 2023
#	Keyword	Papers
1	UK Biobank	47
2	body mass index	8
3	deep learning	7
4	educational attainment	7
5	older adults	6
6	quality-adjusted life years	6
7	Mendelian randomization	5
8	physical activity	5
9	sex differences	5
10	social isolation	5

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	522	16.4	Federated learning for medical image analysis: A survey	Pattern Recognition	2024-03-12	Hao Guan, Pew‐Thian Yap, Andrea Bozoki et al.
2	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.
3	186	7.8	Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications	Artificial Intelligence Review	2024-11-07	Haseeb Javed, Shaker El–Sappagh, Tamer Abuhmed
4	98	2.9	Deep Evidential Fusion with Uncertainty Quantification and Reliability Learning for Multimodal Medical Image Segmentation	Information Fusion	2024-01-01	Ling Huang, Su Ruan, Pierre Decazes et al.
5	70	2.6	A review of evaluation approaches for explainable AI with applications in cardiology	Artificial Intelligence Review	2024-08-09	Ahmed M. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use UK Biobank most often with ImageNet (13), MIMIC (9) and MNIST / Fashion-MNIST (8); it has 14 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use UK Biobank together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
ImageNet	Dataset	13	1.6
MIMIC	Dataset	9	7.9
MNIST / Fashion-MNIST	Dataset	8	2.1
Kaggle	Dataset	7	3.6
ADNI	Dataset	6	7.2
BraTS	Dataset	5	5.4
PhysioNet / MIT-BIH	Dataset	5	6.6
Chest X-ray (CheXpert, ChestX-ray14)	Dataset	4	12.3
Eurostat	Dataset	4	0.8
Facebook	Dataset	3	0.3
Global Burden of Disease	Dataset	3	1.7
MS COCO	Dataset	3	0.9

Papers mentioning UK Biobank in the last 30 days, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-27	A latent ODE approach to full-cycle biventricular cardiac motion modeling from cine MRI	Medical Image Analysis	David Brüggemann, Ekaterina Krymova, Fırat Özdemir et al.	ETH Zurich; Swiss Data Science Center; École Polytechnique Fédérale de Lausanne; …
2026-10-20	Dynamic risk assessment by landmark modeling of the restricted residual mean survival time	Lifetime Data Analysis	Yuan Zhang, Douglas Earl Schaubel	University of Tennessee Health Science Center; University of Pennsylvania
2026-10-17	Language modeling on tabular data: a survey of foundations, techniques and evolution	Artificial Intelligence Review	Yucheng Ruan, Xiang Lan, Jingying Ma et al.	National University of Singapore; Institute of Data Science
2026-10-15	A novel multi-exposure-to-multi-mediator mediation model for imaging genetics studies of brain disorders	Computational Statistics & Data Analysis	Neng Wang, ERIC V. SLUD, Tianzhou Ma	University of Maryland, College Park
2026-10-09	Cost-Effectiveness of Annual Atrial Fibrillation Screening Compared with Current Opportunistic Screening in Australian Primary Care: A Model-Based Economic Evaluation	Applied Health Economics and Health Policy	Ureni Halahakone, Sameera Jayan Senanayake, Victoria McCreanor et al.	Queensland University of Technology; National University of Singapore; Duke-NUS Medical School; …

Cite this page

Scholar4AI. (2026). UK Biobank. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/uk-biobank

@misc{scholar4ai-datasets-uk-biobank,
  author = {{Scholar4AI}},
  title = {UK Biobank},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/uk-biobank}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).