Cathryn M. Lewis

90.3k total citations · 6 hit papers
372 papers, 16.3k citations indexed

About

Cathryn M. Lewis is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Cathryn M. Lewis has authored 372 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Genetics, 78 papers in Molecular Biology and 42 papers in Immunology. Recurrent topics in Cathryn M. Lewis's work include Genetic Associations and Epidemiology (98 papers), Inflammatory Bowel Disease (26 papers) and Bipolar Disorder and Treatment (25 papers). Cathryn M. Lewis is often cited by papers focused on Genetic Associations and Epidemiology (98 papers), Inflammatory Bowel Disease (26 papers) and Bipolar Disorder and Treatment (25 papers). Cathryn M. Lewis collaborates with scholars based in United Kingdom, United States and Italy. Cathryn M. Lewis's co-authors include Evangelos Vassos, Jack Euesden, Paul F. O’Reilly, Sheila Fisher, Christopher G. Mathew, Robin Murray, Jeremy Sanderson, Alastair Forbes, Stefan Schreiber and Muddassar M. Mirza and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Cathryn M. Lewis

352 papers receiving 15.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association between insertion mutation in NOD2 gene and Crohn's disease in German and British populations

2001 837 citations Cathryn M. Lewis et al. profile →
PRSice: Polygenic Risk Score software

2014 736 citations Jack Euesden, Cathryn M. Lewis et al. Bioinformatics profile →
Polygenic risk scores: from research tools to clinical instruments

2020 714 citations Cathryn M. Lewis et al. profile →
Suberoylanilide hydroxamic acid, a histone deacetylase inhibitor, ameliorates motor deficits in a mouse model of Huntington's disease

2003 667 citations Cathryn M. Lewis et al. profile →
Meta-analysis of the Association Between the Level of Cannabis Use and Risk of Psychosis

2016 535 citations Cathryn M. Lewis et al. profile →
The contribution of NOD2 gene mutations to the risk and site of disease in inflammatory bowel disease

2002 523 citations Cathryn M. Lewis et al. Gastroenterology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cathryn M. Lewis United Kingdom	63	5.7k	4.2k	2.0k	1.8k	1.6k	372	16.3k
P. Eline Slagboom Netherlands	76	4.1k 0.7×	8.8k 2.1×	1.5k 0.8×	1.8k 1.0×	644 0.4×	465	23.3k
Robert E. Ferrell United States	73	4.5k 0.8×	6.7k 1.6×	1.2k 0.6×	1.4k 0.8×	1.0k 0.6×	384	20.7k
Jürg Ott United States	74	8.5k 1.5×	10.6k 2.5×	1.8k 0.9×	1.0k 0.6×	1.2k 0.8×	343	25.1k
Grant W. Montgomery Australia	75	11.3k 2.0×	7.8k 1.9×	2.6k 1.3×	1.4k 0.7×	946 0.6×	507	26.1k
John Blangero United States	81	9.8k 1.7×	7.2k 1.7×	1.3k 0.6×	3.5k 2.0×	1.7k 1.0×	644	28.6k
Nicholas J. Timpson United Kingdom	62	9.3k 1.6×	5.2k 1.2×	1.4k 0.7×	3.1k 1.7×	931 0.6×	250	22.6k
Lon R. Cardon United Kingdom	74	13.6k 2.4×	8.9k 2.1×	2.6k 1.3×	2.1k 1.1×	1.2k 0.7×	188	28.2k
David M. Evans United Kingdom	57	6.2k 1.1×	4.3k 1.0×	1.1k 0.5×	2.0k 1.1×	606 0.4×	277	15.4k
Gibran Hemani United Kingdom	40	8.3k 1.5×	4.7k 1.1×	1.1k 0.6×	2.1k 1.2×	681 0.4×	110	16.4k
Tatiana Foroud United States	76	4.5k 0.8×	7.1k 1.7×	1.3k 0.6×	2.2k 1.2×	1.5k 0.9×	405	20.1k

Countries citing papers authored by Cathryn M. Lewis

Since Specialization

Citations

This map shows the geographic impact of Cathryn M. Lewis'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 Cathryn M. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathryn M. Lewis more than expected).

Fields of papers citing papers by Cathryn M. Lewis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cathryn M. Lewis. 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 Cathryn M. Lewis. The network helps show where Cathryn M. Lewis may publish in the future.

Co-authorship network of co-authors of Cathryn M. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Cathryn M. Lewis. A scholar is included among the top collaborators of Cathryn M. Lewis 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 Cathryn M. Lewis. Cathryn M. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gillett, Alexandra C., et al.. (2025). Sociodemographic, clinical, and genetic factors associated with self-reported antidepressant response outcomes in the UK Biobank. Psychological Medicine. 55. e80–e80. 3 indexed citations

Gillett, Alexandra C., Harry Green, Andrew R. Wood, et al.. (2025). Evidence of bidirectional relationship between type 2 diabetes and depression; a Mendelian randomization study. Molecular Psychiatry. 30(11). 5013–5023.

Rakesh, Divyangana, et al.. (2025). Developmental Pathways From Childhood Neurodevelopmental Traits to Early Adolescent Psychiatric Dimensions: The Role of Environmental and Lifestyle Factors. Research Portal (King's College London). 4(2). 298–309.

Arathimos, Ryan, Amy Ronaldson, Laurence J Howe, et al.. (2021). Vitamin D and the risk of treatment-resistant and atypical depression: A Mendelian randomization study. Translational Psychiatry. 11(1). 561–561. 11 indexed citations

Howard, David M., Oliver Pain, Ryan Arathimos, et al.. (2021). Methylome-wide association study of early life stressors and adult mental health. Human Molecular Genetics. 31(4). 651–664. 7 indexed citations

Fabbri, Chiara, Siegfried Kasper, Joseph Zohar, et al.. (2020). Cost-effectiveness of genetic and clinical predictors for choosing combined psychotherapy and pharmacotherapy in major depression. Journal of Affective Disorders. 279. 722–729. 8 indexed citations

Paul, Riya, Till F. M. Andlauer, Darina Czamara, et al.. (2019). Treatment response classes in major depressive disorder identified by model-based clustering and validated by clinical prediction models. Translational Psychiatry. 9(1). 187–187. 31 indexed citations

Iniesta, Raquel, Karen Hodgson, Daniel Ståhl, et al.. (2018). Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables. Scientific Reports. 8(1). 5530–5530. 47 indexed citations

Ward, Joey, Nicholas Graham, Rona J. Strawbridge, et al.. (2018). Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts. PLoS ONE. 13(9). e0203896–e0203896. 41 indexed citations

10.

Luciano, Michelle, Saskia P. Hagenaars, Gail Davies, et al.. (2017). Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism. Nature Genetics. 50(1). 6–11. 201 indexed citations

11.

Iniesta, Raquel, Karim Malki, Wolfgang Maier, et al.. (2016). Combining clinical variables to optimize prediction of antidepressant treatment outcomes. Journal of Psychiatric Research. 78. 94–102. 119 indexed citations

12.

Euesden, Jack, Gerome Breen, Anne Farmer, Peter McGuffin, & Cathryn M. Lewis. (2015). The relationship between schizophrenia and rheumatoid arthritis revisited: Genetic and epidemiological analyses. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(2). 81–88. 25 indexed citations

13.

Mullins, Niamh, Karen Hodgson, Katherine E. Tansey, et al.. (2014). Investigation of blood mRNA biomarkers for suicidality in an independent sample. Translational Psychiatry. 4(10). e474–e474. 11 indexed citations

14.

Euesden, Jack, Cathryn M. Lewis, & Paul F. O’Reilly. (2014). PRSice: Polygenic Risk Score software. Bioinformatics. 31(9). 1466–1468. 736 indexed citations breakdown →

15.

Ligthart, Lannie, Jouke‐Jan Hottenga, Cathryn M. Lewis, et al.. (2013). Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders. Human Genetics. 133(2). 173–186. 3 indexed citations

16.

Hunter, Aimee M., Andrew F. Leuchter, Robert A. Power, et al.. (2013). A genome-wide association study of a sustained pattern of antidepressant response. Journal of Psychiatric Research. 47(9). 1157–1165. 44 indexed citations

17.

Power, Robert A., Bengt Muthén, Neven Henigsberg, et al.. (2012). Non-random dropout and the relative efficacy of escitalopram and nortriptyline in treating major depressive disorder. Journal of Psychiatric Research. 46(10). 1333–1338. 10 indexed citations

18.

Perroud, Nader, Rudolf Uher, Mandy Ng, et al.. (2010). Genome-wide association study of increasing suicidal ideation during antidepressant treatment in the GENDEP project. The Pharmacogenomics Journal. 12(1). 68–77. 73 indexed citations

19.

Forabosco, Paola, Susan L. Neuhausen, Luigi Greco, et al.. (2009). Meta-Analysis of Genome-Wide Linkage Studies in Celiac Disease. Human Heredity. 68(4). 223–230. 6 indexed citations

20.

Arenas, M, et al.. (2004). Pharmacogenetic profiling in azathioprine therapy: The role of TPMT, ITPA and MTHFR polymorphisms in drug toxicity. Gastroenterology. 126(4). 1 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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