Benjamin F. Voight
- Genetics top 0.2%
- Molecular Biology top 5%
- Epidemiology top 5%
- Cancer Research top 5%
- Physiology top 5%
- Co-authors
- Jonathan K. PritchardXiaoquan WenSridhar KudaravalliBenjamin M. NealeKatherine M. SiewertPaul I. W. de BakkerSekar KathiresanElizabeth K. Speliotes
- Topics
- Genetic Associations and Epidemiology (42 papers)Genomics and Rare Diseases (8 papers)Epigenetics and DNA Methylation (8 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Benjamin F. Voight
81 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Genetics 4.5k
- Molecular Biology 2.3k
- Epidemiology 544
- Cancer Research 522
- Physiology 436
Countries citing papers authored by Benjamin F. Voight
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 102 | |
| 10 | 10 | |
| 11 | 19 | |
| 12 | 38 | |
| 13 | 54 | |
| 14 | 10 | |
| 15 | 45 | |
| 16 | 6 | |
| 17 | 11 | |
| 18 | Genetic Discrimination between LADA and Type 1 Diabetes within the MHC | 1 |
| 19 | 90 | |
| 20 | 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 | 2 |
About Benjamin F. Voight
Benjamin F. Voight is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 87 papers that have together received 7.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (42 papers), Genomics and Rare Diseases (8 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Genetics (4.5k citations), Cancer Research (522 citations) and Molecular Biology (2.3k citations). Benjamin F. Voight has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.
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.