Daniel C. Posner
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
Papers in
- Genetics 14
- Genetic Associations and Epidemiology 14
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- COVID-19 Clinical Research Studies 4
- Co-authors
- Todd H. Wagner (1 shared paper)Seshadri C. Mudumbai (1 shared paper)Edward R. Mariano (1 shared paper)Jodie A. Trafton (1 shared paper)Peter W.F. Wilson (12 shared papers)Eleanor T. Lewis (1 shared paper)Elizabeth M. Oliva (1 shared paper)Randall Scott Stafford (1 shared paper)
- Journals
- PLoS ONE (3 papers)American Journal of Epidemiology (2 papers)Nature Genetics (2 papers)Diabetes Care (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel C. Posner
27 papers receiving 1.2k citations
Daniel C. Posner's Hit Papers
Peers
Comparison fields: 5 of 89
- Genetics 559
- Neurology 73
- Cardiology and Cardiovascular Medicine 114
- Infectious Diseases 82
- Clinical Psychology 87
Countries citing papers authored by Daniel C. Posner
This map shows the geographic impact of Daniel C. Posner'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 Daniel C. Posner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Posner more than expected).
Fields of papers citing papers by Daniel C. Posner
This network shows the impact of papers produced by Daniel C. Posner. 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 Daniel C. Posner. The network helps show where Daniel C. Posner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Posner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stroke genetics informs drug discovery and risk prediction across ancestries Hit paper breakdown → | 2022 | 372 |
| 2 | Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program Hit paper breakdown → | 2024 | 177 |
| 3 | 2021 | 152 | |
| 4 | 2021 | 145 | |
| 5 | 2023 | 81 | |
| 6 | 2016 | 68 | |
| 7 | 2022 | 44 | |
| 8 | 2017 | 41 | |
| 9 | 2023 | 27 | |
| 10 | 2024 | 22 | |
| 11 | 2025 | 21 | |
| 12 | 2018 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2021 | 7 | |
| 20 | 2018 | 6 |
About Daniel C. Posner
Daniel C. Posner is a scholar working on Genetics, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Neurology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Epigenetics and DNA Methylation (1 paper), Acute Ischemic Stroke Management (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Medical Coding and Health Information (1 paper). The work is most often cited by research in Genetics (559 citations), Neurology (73 citations), Cardiology and Cardiovascular Medicine (114 citations), Infectious Diseases (82 citations) and Clinical Psychology (87 citations). Daniel C. Posner has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Todd H. Wagner, Seshadri C. Mudumbai, Edward R. Mariano, Jodie A. Trafton, Peter W.F. Wilson, Eleanor T. Lewis, Elizabeth M. Oliva, Randall Scott Stafford, Kelly Cho and J. David Clark. Their work appears in journals such as PLoS ONE, American Journal of Epidemiology, Nature Genetics, Diabetes Care and Nature Medicine.
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.