David Witonsky

4.7k total citations · 1 hit paper
37 papers, 2.5k citations indexed

About

David Witonsky is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, David Witonsky has authored 37 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 12 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in David Witonsky's work include Genetic Associations and Epidemiology (6 papers), High Altitude and Hypoxia (6 papers) and Forensic and Genetic Research (5 papers). David Witonsky is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), High Altitude and Hypoxia (6 papers) and Forensic and Genetic Research (5 papers). David Witonsky collaborates with scholars based in United States, Nepal and Ethiopia. David Witonsky's co-authors include Anna Di Rienzo, Jonathan K. Pritchard, Graham Coop, Gorka Alkorta‐Aranburu, Angela M. Hancock, Cynthia M. Beall, Amha Gebremedhin, Lujie Yang, B.A. Roe and Emma E. Thompson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

David Witonsky

35 papers receiving 2.5k citations

Hit Papers

Using Environmental Correlations to Identify Loci Underly... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Witonsky United States 22 1.6k 627 225 175 149 37 2.5k
Dmitri V. Zaykin United States 23 1.4k 0.9× 1.1k 1.8× 300 1.3× 195 1.1× 95 0.6× 51 3.1k
Simon Gravel Canada 22 2.5k 1.5× 768 1.2× 94 0.4× 135 0.8× 92 0.6× 40 3.4k
Michèle M. Sale United States 27 2.0k 1.2× 1.1k 1.8× 353 1.6× 114 0.7× 86 0.6× 76 3.8k
Shuhua Xu China 31 2.1k 1.3× 1.2k 1.9× 202 0.9× 90 0.5× 57 0.4× 199 3.6k
Ani Manichaikul United States 26 1.8k 1.1× 1.5k 2.3× 232 1.0× 143 0.8× 119 0.8× 79 4.2k
Sridhar Kudaravalli United States 7 2.8k 1.7× 1.3k 2.1× 142 0.6× 116 0.7× 100 0.7× 8 4.0k
Katrina G. Claw United States 17 845 0.5× 548 0.9× 225 1.0× 91 0.5× 44 0.3× 42 1.8k
Francisco Rothhammer Chile 31 1.4k 0.9× 546 0.9× 172 0.8× 166 0.9× 50 0.3× 155 3.3k
Luiz R. França Brazil 46 3.0k 1.8× 1.6k 2.5× 101 0.4× 244 1.4× 181 1.2× 99 7.0k
Jeff T. Williams United States 27 1.2k 0.7× 554 0.9× 190 0.8× 183 1.0× 34 0.2× 81 3.1k

Countries citing papers authored by David Witonsky

Since Specialization
Citations

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

Fields of papers citing papers by David Witonsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Witonsky. 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 David Witonsky. The network helps show where David Witonsky may publish in the future.

Co-authorship network of co-authors of David Witonsky

This figure shows the co-authorship network connecting the top 25 collaborators of David Witonsky. A scholar is included among the top collaborators of David Witonsky 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 David Witonsky. David Witonsky 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.
Castro, Constanza de la Fuente, Arjun Biddanda, David Witonsky, et al.. (2025). Population histories of the Indigenous Adivasi and Sinhalese from Sri Lanka using whole genomes. Current Biology. 35(11). 2554–2566.e7.
2.
Witonsky, David, Adnan Alazizi, Nicole Noren Hooten, et al.. (2025). Living in poverty is associated with gene expression changes in immune cells. Genetics. 230(3). 1 indexed citations
3.
Witonsky, David, et al.. (2025). Genomic and cellular responses to aspirin in colonic organoids from African- and European-Americans. Physiological Genomics. 57(3). 103–114.
4.
Sun, Jiayang, Sienna R. Craig, Anna Di Rienzo, et al.. (2024). Higher oxygen content and transport characterize high-altitude ethnic Tibetan women with the highest lifetime reproductive success. Proceedings of the National Academy of Sciences. 121(45). e2403309121–e2403309121. 7 indexed citations
5.
Witonsky, David, et al.. (2023). Genomic and epigenomic responses to aspirin in human colonic organoids. Physiological Genomics. 55(3). 101–112. 2 indexed citations
6.
Beall, Cynthia M., et al.. (2020). Genomic, physiological and social contributions to the survival of post-reproductive ethnically Tibetan women residing at high altitudes in Nepal. American Journal of Human Biology. 32. 1 indexed citations
7.
Jeong, Choongwon, David Witonsky, Buddha Basnyat, et al.. (2018). Detecting past and ongoing natural selection among ethnically Tibetan women at high altitude in Nepal. PLoS Genetics. 14(9). e1007650–e1007650. 47 indexed citations
8.
Kariuki, Silvia N., John Blischak, Shigeki Nakagome, David Witonsky, & Anna Di Rienzo. (2016). Patterns of Transcriptional Response to 1,25-Dihydroxyvitamin D3 and Bacterial Lipopolysaccharide in Primary Human Monocytes. G3 Genes Genomes Genetics. 6(5). 1345–1355. 7 indexed citations
9.
Kariuki, Silvia N., Joseph Maranville, Choongwon Jeong, et al.. (2016). Mapping Variation in Cellular and Transcriptional Response to 1,25-Dihydroxyvitamin D3 in Peripheral Blood Mononuclear Cells. PLoS ONE. 11(7). e0159779–e0159779. 12 indexed citations
10.
Jeong, Choongwon, Gorka Alkorta‐Aranburu, Buddha Basnyat, et al.. (2014). Admixture facilitates genetic adaptations to high altitude in Tibet. Nature Communications. 5(1). 3281–3281. 144 indexed citations
11.
Maranville, Joseph, et al.. (2013). Genetic Mapping with Multiple Levels of Phenotypic Information Reveals Determinants of Lymphocyte Glucocorticoid Sensitivity. The American Journal of Human Genetics. 93(4). 735–743. 19 indexed citations
12.
Alkorta‐Aranburu, Gorka, Cynthia M. Beall, David Witonsky, et al.. (2012). The Genetic Architecture of Adaptations to High Altitude in Ethiopia. PLoS Genetics. 8(12). e1003110–e1003110. 157 indexed citations
13.
Maranville, Joseph, Francesca Luca, Allison L. Richards, et al.. (2011). Interactions between Glucocorticoid Treatment and Cis-Regulatory Polymorphisms Contribute to Cellular Response Phenotypes. PLoS Genetics. 7(7). e1002162–e1002162. 83 indexed citations
14.
Luca, Francesca, Richard R. Hudson, David Witonsky, & Anna Di Rienzo. (2011). A reduced representation approach to population genetic analyses and applications to human evolution. Genome Research. 21(7). 1087–1098. 41 indexed citations
15.
Sun, Chang, Dezheng Huo, Barbara Nemesure, et al.. (2011). A signature of balancing selection in the region upstream to the human UGT2B4 gene and implications for breast cancer risk. Human Genetics. 130(6). 767–775. 26 indexed citations
16.
Hancock, Angela M., David Witonsky, Gorka Alkorta‐Aranburu, et al.. (2011). Adaptations to Climate-Mediated Selective Pressures in Humans. PLoS Genetics. 7(4). e1001375–e1001375. 206 indexed citations
17.
Hancock, Angela M., David Witonsky, Edvard Ehler, et al.. (2010). Human adaptations to diet, subsistence, and ecoregion are due to subtle shifts in allele frequency. Proceedings of the National Academy of Sciences. 107(supplement_2). 8924–8930. 192 indexed citations
18.
Sun, Chang, et al.. (2010). Allele-Specific Down-Regulation of RPTOR Expression Induced by Retinoids Contributes to Climate Adaptations. PLoS Genetics. 6(10). e1001178–e1001178. 21 indexed citations
19.
Sun, Chang, et al.. (2009). Allelic imbalance (AI) identifies novel tissue-specificcis-regulatory variation for humanUGT2B15. Human Mutation. 31(1). 99–107. 29 indexed citations
20.
Maitland, Michael L., C. Grimsley, David Witonsky, et al.. (2005). Comparative genomics analysis of human sequence variation in the UGT1A gene cluster. The Pharmacogenomics Journal. 6(1). 52–62. 31 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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