Benjamin F. Voight

79.5k total citations · 3 hit papers
87 papers, 7.1k citations indexed

About

Benjamin F. Voight is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Benjamin F. Voight has authored 87 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Genetics, 35 papers in Molecular Biology and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Benjamin F. Voight's work include Genetic Associations and Epidemiology (42 papers), Genomics and Rare Diseases (8 papers) and Epigenetics and DNA Methylation (8 papers). Benjamin F. Voight is often cited by papers focused on Genetic Associations and Epidemiology (42 papers), Genomics and Rare Diseases (8 papers) and Epigenetics and DNA Methylation (8 papers). Benjamin F. Voight collaborates with scholars based in United States, United Kingdom and Germany. Benjamin F. Voight's co-authors include Jonathan K. Pritchard, Xiaoquan Wen, Sridhar Kudaravalli, Benjamin M. Neale, Katherine M. Siewert, Paul I. W. de Bakker, Sekar Kathiresan, Elizabeth K. Speliotes, Joel N. Hirschhorn and Soumya Raychaudhuri and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Benjamin F. Voight

81 papers receiving 7.0k citations

Hit Papers

align trajectories

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.

A Map of Recent Positive Selection in the Human Genome

2006 2.0k citations Benjamin F. Voight et al. profile →
Convergent adaptation of human lactase persistence in Africa and Europe

2006 937 citations Benjamin F. Voight et al. Nature Genetics profile →
Testing for an Unusual Distribution of Rare Variants

2011 432 citations Benjamin F. Voight et al. profile →

Peers

Benjamin F. Voight

GENET

EPIDE

PHYSI

Olivier Delaneau Switzerland

Bryan Howie United States

Hua Tang United States

Christopher Chang United States

Ranjan Deka United States

Nicholas Smith Australia

Brendan Blumenstiel United States

Shashaank Vattikuti United States

Daníel F. Guðbjartsson Iceland

Anders Albrechtsen Denmark

Olivier Delaneau Switzerland

Benjamin F. Voight

4.2k ×0.9

GENET

2.6k ×1.1

639 ×1.2

EPIDE

632 ×1.2

586 ×1.3

PHYSI

Citations per year, relative to Benjamin F. Voight Benjamin F. Voight (= 1×) peers Olivier Delaneau

Countries citing papers authored by Benjamin F. Voight

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin F. Voight

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin F. Voight. 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 Benjamin F. Voight. The network helps show where Benjamin F. Voight may publish in the future.

Co-authorship network of co-authors of Benjamin F. Voight

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin F. Voight. A scholar is included among the top collaborators of Benjamin F. Voight 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 Benjamin F. Voight. Benjamin F. Voight 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

Arruda, Ana Luiza, Ozvan Bocher, Henry J. Taylor, et al.. (2025). The effect of type 2 diabetes genetic predisposition on non-cardiovascular comorbidities. Nature Communications. 16(1). 9042–9042.

Yuan, Shuai, Jie Chen, Xixian Ruan, et al.. (2025). Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation. Nature Communications. 16(1). 6426–6426.

May, Catherine Lee, Elisabetta Manduchi, Benjamin F. Voight, et al.. (2025). G6PC2 controls glucagon secretion by defining the set point for glucose in pancreatic α cells. Science Translational Medicine. 17(779). eadi6148–eadi6148. 2 indexed citations

Tsao, Noah L., Michael G. Levin, Venexia Walker, et al.. (2024). Major Depressive Disorder Impacts Peripheral Artery Disease Risk Through Intermediary Risk Factors. Journal of the American Heart Association. 13(4). e030233–e030233. 4 indexed citations

Kaplan, David E., Craig C. Teerlink, Tae‐Hwi Schwantes‐An, et al.. (2024). Clinical and genetic risk factors for progressive fibrosis in metabolic dysfunction–associated steatotic liver disease. Hepatology Communications. 8(7). 5 indexed citations

Klarin, Derek, et al.. (2024). Evaluation of Plasma Biomarkers for Causal Association With Peripheral Artery Disease. Arteriosclerosis Thrombosis and Vascular Biology. 44(5). 1114–1123. 5 indexed citations

Pividori, Milton, Sumei Lu, Binglan Li, et al.. (2023). Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms. Nature Communications. 14(1). 5562–5562. 9 indexed citations

Chen, Brian Y., et al.. (2022). ColocQuiaL: a QTL-GWAS colocalization pipeline. Bioinformatics. 38(18). 4409–4411. 11 indexed citations

Liu, Hongbo, Tomohito Doke, Xin Sheng, et al.. (2022). Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease. Nature Genetics. 54(7). 950–962. 102 indexed citations

10.

Walker, Venexia, Marijana Vujković, Alice R Carter, et al.. (2022). Separating the direct effects of traits on atherosclerotic cardiovascular disease from those mediated by type 2 diabetes. Diabetologia. 65(5). 790–799. 10 indexed citations

11.

Daghlas, Iyas, Ville Karhunen, Verena Zuber, et al.. (2021). Genetic Evidence for Repurposing of GLP1R (Glucagon‐Like Peptide‐1 Receptor) Agonists to Prevent Heart Failure. Journal of the American Heart Association. 10(13). e020331–e020331. 19 indexed citations

12.

Levin, Michael G., Verena Zuber, Venexia Walker, et al.. (2021). Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease. Circulation. 144(5). 353–364. 38 indexed citations

13.

Guan, Yuting, Xiujie Liang, Ziyuan Ma, et al.. (2021). A single genetic locus controls both expression of DPEP1/CHMP1A and kidney disease development via ferroptosis. Nature Communications. 12(1). 5078–5078. 54 indexed citations

14.

Thom, Christopher S. & Benjamin F. Voight. (2020). Genetic colocalization atlas points to common regulatory sites and genes for hematopoietic traits and hematopoietic contributions to disease phenotypes. BMC Medical Genomics. 13(1). 10 indexed citations

15.

Siewert, Katherine M. & Benjamin F. Voight. (2020). BetaScan2: Standardized Statistics to Detect Balancing Selection Utilizing Substitution Data. Genome Biology and Evolution. 12(2). 3873–3877. 45 indexed citations

16.

Thom, Christopher S., Michael G. Levin, Scott M. Damrauer, et al.. (2020). Genetic determinants of increased body mass index mediate the effect of smoking on increased risk for type 2 diabetes but not coronary artery disease. Human Molecular Genetics. 29(19). 3327–3337. 6 indexed citations

17.

Siewert, Katherine M. & Benjamin F. Voight. (2018). Bivariate Genome-Wide Association Scan Identifies 6 Novel Loci Associated With Lipid Levels and Coronary Artery Disease. Circulation Genomic and Precision Medicine. 11(12). e002239–e002239. 11 indexed citations

18.

Mishra, Rajashree, Jonathan P. Bradfield, Diana L. Cousminer, et al.. (2018). Genetic Discrimination between LADA and Type 1 Diabetes within the MHC. Queen Mary Research Online (Queen Mary University of London). 1 indexed citations

19.

Soccio, Raymond E., Eric R. Chen, Satyajit Rajapurkar, et al.. (2015). Genetic Variation Determines PPARγ Function and Anti-diabetic Drug Response In Vivo. Cell. 162(1). 33–44. 90 indexed citations

20.

Zuydam, Natalie R. van, Benjamin F. Voight, Claes Ladenvall, et al.. (2013). Known SNPs in ADAMTS7, the 9p21 region and UBE2E interact with type 2 diabetes status to modify the risk of coronary artery disease in large populations. Diabetologia. 56. 76–77. 2 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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