Madeleine Cule

4.1k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Madeleine Cule is a scholar working on Genetics, Epidemiology and Infectious Diseases. According to data from OpenAlex, Madeleine Cule has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Epidemiology and 10 papers in Infectious Diseases. Recurrent topics in Madeleine Cule's work include Genetic Associations and Epidemiology (11 papers), Liver Disease Diagnosis and Treatment (8 papers) and Cardiovascular Disease and Adiposity (5 papers). Madeleine Cule is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Liver Disease Diagnosis and Treatment (8 papers) and Cardiovascular Disease and Adiposity (5 papers). Madeleine Cule collaborates with scholars based in United Kingdom, United States and Australia. Madeleine Cule's co-authors include Richard J. Samworth, Derrick W. Crook, Daniel J. Wilson, Tim Peto, Tanya Golubchik, Camilla L. C. Ip, Rory Bowden, Elizabeth M. Batty, Xavier Didelot and David Griffiths and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Madeleine Cule

31 papers receiving 1.4k citations

Hit Papers

Diverse Sources of C. difficile Infection Identified on W... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Madeleine Cule United Kingdom 15 687 499 346 213 163 35 1.5k
Li Tang United States 23 366 0.5× 560 1.1× 225 0.7× 90 0.4× 70 0.4× 98 1.5k
Julie Delaloye Switzerland 11 467 0.7× 647 1.3× 253 0.7× 49 0.2× 126 0.8× 22 1.5k
Leona W. Ayers United States 27 375 0.5× 613 1.2× 453 1.3× 42 0.2× 154 0.9× 94 2.3k
David Watson United States 25 251 0.4× 1.2k 2.4× 239 0.7× 82 0.4× 219 1.3× 115 2.4k
Bradly P. Nicholson United States 17 554 0.8× 681 1.4× 409 1.2× 78 0.4× 86 0.5× 36 1.4k
Peter Pertel United States 23 493 0.7× 969 1.9× 162 0.5× 123 0.6× 128 0.8× 38 1.8k
Andrew Wong United States 18 152 0.2× 317 0.6× 698 2.0× 88 0.4× 84 0.5× 37 1.6k
So–Youn Shin South Korea 24 242 0.4× 624 1.3× 581 1.7× 335 1.6× 230 1.4× 73 1.8k
Jane C. Deng United States 31 533 0.8× 1.2k 2.5× 769 2.2× 87 0.4× 179 1.1× 65 3.7k
Shy-Shin Chang Taiwan 25 224 0.3× 754 1.5× 227 0.7× 48 0.2× 287 1.8× 58 1.7k

Countries citing papers authored by Madeleine Cule

Since Specialization
Citations

This map shows the geographic impact of Madeleine Cule's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Madeleine Cule with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madeleine Cule more than expected).

Fields of papers citing papers by Madeleine Cule

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madeleine Cule. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Madeleine Cule. The network helps show where Madeleine Cule may publish in the future.

Co-authorship network of co-authors of Madeleine Cule

This figure shows the co-authorship network connecting the top 25 collaborators of Madeleine Cule. A scholar is included among the top collaborators of Madeleine Cule based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madeleine Cule. Madeleine Cule is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sorokin, Elena P., et al.. (2026). Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architecture. Communications Medicine. 6(1). 70–70.
2.
Sorokin, Elena P., Brandon Whitcher, Jimmy D. Bell, et al.. (2025). Genetic Determinants of Fatty Acid Composition in Subcutaneous and Visceral Adipose Tissue. Obesity. 33(12). 2406–2415.
3.
Sorokin, Elena P., Brandon Whitcher, Jimmy D. Bell, et al.. (2025). Identifying Four Obesity Axes Through Integrative Multiomics and Imaging Analysis. Diabetes. 74(7). 1168–1183. 3 indexed citations
4.
Basty, Nicolas, Madeleine Cule, Elena P. Sorokin, et al.. (2025). Changes in abdominal subcutaneous adipose tissue thickness associate with disease and anthropometric factors. International Journal of Obesity. 49(9). 1810–1819.
5.
Basty, Nicolas, Madeleine Cule, Elena P. Sorokin, et al.. (2024). Liver shape analysis using statistical parametric maps at population scale. BMC Medical Imaging. 24(1). 15–15. 2 indexed citations
6.
Basty, Nicolas, Madeleine Cule, Elena P. Sorokin, et al.. (2023). Artifact-free fat-water separation in Dixon MRI using deep learning. Journal Of Big Data. 10(1). 4–4. 4 indexed citations
7.
Basty, Nicolas, Elena P. Sorokin, Ramprakash Srinivasan, et al.. (2023). Abdominal imaging associates body composition with COVID-19 severity. PLoS ONE. 18(4). e0283506–e0283506. 2 indexed citations
8.
Whitcher, Brandon, Madeleine Cule, Yi Liu, et al.. (2022). Precision MRI phenotyping enables detection of small changes in body composition for longitudinal cohorts. Scientific Reports. 12(1). 3748–3748. 17 indexed citations
9.
Sorokin, Elena P., Nicolas Basty, Brandon Whitcher, et al.. (2022). Analysis of MRI-derived spleen iron in the UK Biobank identifies genetic variation linked to iron homeostasis and hemolysis. The American Journal of Human Genetics. 109(6). 1092–1104. 13 indexed citations
10.
Martin, Susan F., Elena P. Sorokin, E. Louise Thomas, et al.. (2022). Estimating the Effect of Liver and Pancreas Volume and Fat Content on Risk of Diabetes: A Mendelian Randomization Study. Diabetes Care. 45(2). 460–468. 52 indexed citations
11.
Sethi, Anurag, D. Leland Taylor, J. Graham Ruby, et al.. (2022). Calcification of the abdominal aorta is an under-appreciated cardiovascular disease risk factor in the general population. Frontiers in Cardiovascular Medicine. 9. 1003246–1003246. 23 indexed citations
12.
Liu, Yi, Nicolas Basty, Brandon Whitcher, et al.. (2021). Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning. eLife. 10. 120 indexed citations
13.
Melamud, Eugene, D. Leland Taylor, Anurag Sethi, et al.. (2020). The promise and reality of therapeutic discovery from large cohorts. Journal of Clinical Investigation. 130(2). 575–581. 7 indexed citations
14.
Cule, Madeleine & Peter Donnelly. (2017). Stochastic modelling and inference in electronic hospital databases for the spread of infections: Clostridium difficile transmission in Oxfordshire hospitals 2007–2010. The Annals of Applied Statistics. 11(2). 655–679. 3 indexed citations
15.
Eyre, David W., Madeleine Cule, Daniel J. Wilson, et al.. (2013). Diverse Sources of C. difficile Infection Identified on Whole-Genome Sequencing. New England Journal of Medicine. 369(13). 1195–1205. 487 indexed citations breakdown →
16.
Eyre, David W., Madeleine Cule, David Griffiths, et al.. (2013). Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in Clostridium difficile Transmission. PLoS Computational Biology. 9(5). e1003059–e1003059. 61 indexed citations
17.
Golubchik, Tanya, Elizabeth M. Batty, Ruth R. Miller, et al.. (2013). Within-Host Evolution of Staphylococcus aureus during Asymptomatic Carriage. PLoS ONE. 8(5). e61319–e61319. 164 indexed citations
18.
Didelot, Xavier, David W. Eyre, Madeleine Cule, et al.. (2012). Microevolutionary analysis of Clostridium difficile genomes to investigate transmission. Genome biology. 13(12). R118–R118. 157 indexed citations
19.
Schalkwyk, Cari van, Madeleine Cule, Alex Welte, et al.. (2012). Towards Eliminating Bias in Cluster Analysis of TB Genotyped Data. PLoS ONE. 7(3). e34109–e34109. 1 indexed citations
20.
Cule, Madeleine, Robert B. Gramacy, & Richard J. Samworth. (2009). LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density. SHILAP Revista de lepidopterología. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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