Lea K. Davis

18.0k total citations
105 papers, 2.1k citations indexed

About

Lea K. Davis is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Cognitive Neuroscience. According to data from OpenAlex, Lea K. Davis has authored 105 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 17 papers in Public Health, Environmental and Occupational Health and 16 papers in Cognitive Neuroscience. Recurrent topics in Lea K. Davis's work include Genetic Associations and Epidemiology (32 papers), Autism Spectrum Disorder Research (13 papers) and Genetics and Neurodevelopmental Disorders (9 papers). Lea K. Davis is often cited by papers focused on Genetic Associations and Epidemiology (32 papers), Autism Spectrum Disorder Research (13 papers) and Genetics and Neurodevelopmental Disorders (9 papers). Lea K. Davis collaborates with scholars based in United States, United Kingdom and Canada. Lea K. Davis's co-authors include Barbara E. Stranger, Ekaterina Khramtsova, Val C. Sheffield, Thomas H. Wassink, Sandra Sanchez‐Roige, Edwin H. Cook, Abraham A. Palmer, Nancy J. Cox, Kacie J. Meyer and Danielle S. Rudd and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lea K. Davis

96 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lea K. Davis United States 26 811 603 277 213 202 105 2.1k
Joyce Y. Tung United States 20 1.2k 1.5× 840 1.4× 187 0.7× 110 0.5× 113 0.6× 28 3.1k
Marlies de Lange United Kingdom 18 676 0.8× 437 0.7× 230 0.8× 104 0.5× 144 0.7× 21 2.5k
Hannah Jones United Kingdom 23 586 0.7× 207 0.3× 230 0.8× 528 2.5× 410 2.0× 68 2.2k
Narelle K. Hansell Australia 30 689 0.8× 411 0.7× 755 2.7× 203 1.0× 183 0.9× 78 2.5k
Shing Wan Choi United Kingdom 15 1.3k 1.6× 644 1.1× 213 0.8× 327 1.5× 260 1.3× 24 2.6k
Tim Becker Germany 32 1.1k 1.4× 1.3k 2.2× 318 1.1× 411 1.9× 141 0.7× 122 3.6k
Kyoko Watanabe Netherlands 16 1.9k 2.4× 1.3k 2.2× 323 1.2× 333 1.6× 258 1.3× 34 3.9k
Alexandre Bureau Canada 21 500 0.6× 714 1.2× 98 0.4× 243 1.1× 487 2.4× 79 2.1k
Hiroaki Tomita Japan 30 712 0.9× 1.8k 2.9× 282 1.0× 473 2.2× 487 2.4× 178 4.1k
Izumi Kawachi Japan 18 770 0.9× 754 1.3× 125 0.5× 237 1.1× 75 0.4× 81 5.3k

Countries citing papers authored by Lea K. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Lea K. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lea K. Davis. 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 Lea K. Davis. The network helps show where Lea K. Davis may publish in the future.

Co-authorship network of co-authors of Lea K. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Lea K. Davis. A scholar is included among the top collaborators of Lea K. Davis 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 Lea K. Davis. Lea K. Davis 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.
Thorpe, Hayley H. A., Pierre Fontanillas, Mariela Jennings, et al.. (2025). Genome-wide association studies of lifetime and frequency of cannabis use in 131,895 individuals. Molecular Psychiatry. 31(2). 1061–1073.
2.
Galimberti, Marco, Daniel F. Levey, Joseph D. Deak, et al.. (2025). A contextual genomic perspective on physical activity and its relationship to health, well being and illness. Nature Genetics. 57(8). 1860–1871.
4.
Singh, Kritika, Hyunjoon Lee, Julia Sealock, et al.. (2024). Genes associated with depression and coronary artery disease are enriched for cardiomyopathy and inflammatory phenotypes. Nature Mental Health. 2(5). 574–582. 2 indexed citations
5.
Walsh, Colin G., Yirui Hu, Yi-han Sheu, et al.. (2024). Development and multi-site external validation of a generalizable risk prediction model for bipolar disorder. Translational Psychiatry. 14(1). 58–58. 4 indexed citations
6.
Wilson, Jo Ellen, Julia Sealock, Péter Straub, et al.. (2023). Exploring genetic risk for catatonia in a genome wide association study and polygenic risk score analysis. Schizophrenia Research. 263. 178–190. 3 indexed citations
7.
Khramtsova, Ekaterina, Stacey J. Winham, Lea K. Davis, Barbara E. Stranger, & Melissa A. Wilson. (2023). Toward a deeper understanding of gene-by-sex interaction models. Cell Genomics. 3(5). 100324–100324.
8.
Moscati, Arden, Annika Faucon, Sara Larsson Lönn, et al.. (2023). Life is pain: Fibromyalgia as a nexus of multiple liability distributions. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 192(7-8). 171–182. 1 indexed citations
9.
Khramtsova, Ekaterina, Melissa A. Wilson, Joanna Martin, et al.. (2023). Quality control and analytic best practices for testing genetic models of sex differences in large populations. Cell. 186(10). 2044–2061. 18 indexed citations
10.
Hammack‐Aviran, Catherine M., et al.. (2022). LGBTQ+ Perspectives on Conducting Genomic Research on Sexual Orientation and Gender Identity. Behavior Genetics. 52(4-5). 246–267. 13 indexed citations
11.
Jennings, Mariela, Hyunjoon Lee, Daniel Rocha, et al.. (2022). Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data. PubMed. 8(1-2). 47–56. 9 indexed citations
12.
Actkins, Ky’Era V., Kritika Singh, Donald Hucks, et al.. (2020). Characterizing the Clinical and Genetic Spectrum of Polycystic Ovary Syndrome in Electronic Health Records. The Journal of Clinical Endocrinology & Metabolism. 106(1). 153–167. 16 indexed citations
13.
Tilot, Amanda K., Ekaterina Khramtsova, Dan Liang, et al.. (2020). The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area. Cerebral Cortex. 31(4). 1873–1887. 14 indexed citations
14.
Li, Yu, Hanxin Zhang, Ishanu Chattopadhyay, et al.. (2019). Estimating heritability and genetic correlations from large health datasets in the absence of genetic data. Nature Communications. 10(1). 5508–5508. 20 indexed citations
15.
Zheutlin, Amanda B., Jessica Dennis, Richard Karlsson Linnér, et al.. (2019). Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia in 106,160 Patients Across Four Health Care Systems. American Journal of Psychiatry. 176(10). 846–855. 129 indexed citations
16.
Khramtsova, Ekaterina, et al.. (2018). Sex differences in the genetic architecture of obsessive–compulsive disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 180(6). 351–364. 31 indexed citations
17.
Khramtsova, Ekaterina, Lea K. Davis, & Barbara E. Stranger. (2018). The role of sex in the genomics of human complex traits. Nature Reviews Genetics. 20(3). 173–190. 179 indexed citations
18.
Morselli, Lisa L., Eric R. Gamazon, Esra Tasali, et al.. (2017). Shared Genetic Control of Brain Activity During Sleep and Insulin Secretion: A Laboratory-Based Family Study. Diabetes. 67(1). 155–164. 3 indexed citations
19.
Fingert, John H., Alan L. Robin, Jennifer Stone, et al.. (2011). Copy number variations on chromosome 12q14 in patients with normal tension glaucoma. Human Molecular Genetics. 20(12). 2482–2494. 159 indexed citations
20.
Urraca, Nora, Lea K. Davis, Edwin H. Cook, N. Carolyn Schanen, & Lawrence T. Reiter. (2010). A Single-Tube Quantitative High-Resolution Melting Curve Method for Parent-of-Origin Determination of 15q Duplications. Genetic Testing and Molecular Biomarkers. 14(4). 571–576. 8 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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