Daniel Posner
Impact in
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- Stress Responses and Cortisol
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- Tryptophan and brain disorders
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 5
- Diabetes and associated disorders 2
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- Cardiovascular Health and Risk Factors 4
- Co-authors
- Yuk‐Lam Ho (9 shared papers)Kelly Cho (11 shared papers)J. David Clark (1 shared paper)Seshadri C. Mudumbai (1 shared paper)Elizabeth M. Oliva (1 shared paper)Randall S. Stafford (1 shared paper)Todd H. Wagner (1 shared paper)Eleanor T. Lewis (1 shared paper)
- Journals
- Nature Genetics (1 paper)Pain Medicine (1 paper)Human Genetics and Genomics Advances (1 paper)JAMA Network Open (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Daniel Posner
16 papers receiving 297 citations
Peers
Comparison fields: 5 of 79
- Behavioral Neuroscience 29
- Biological Psychiatry 20
- Anesthesiology and Pain Medicine 43
- Public Health, Environmental and Occupational Health 66
- Genetics 63
Countries citing papers authored by Daniel Posner
This map shows the geographic impact of Daniel 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 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 Posner more than expected).
Fields of papers citing papers by Daniel Posner
This network shows the impact of papers produced by Daniel 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 Posner. The network helps show where Daniel Posner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 108 | |
| 2 | 2016 | 61 | |
| 3 | 2017 | 36 | |
| 4 | 2023 | 19 | |
| 5 | 2018 | 17 | |
| 6 | 2024 | 17 | |
| 7 | 2022 | 7 | |
| 8 | 2018 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2018 | 3 |
About Daniel Posner
Daniel Posner is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Surgery, having authored 16 papers that have together received 300 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Cardiovascular Health and Risk Factors (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (2 papers), Birth, Development, and Health (2 papers), Diabetes and associated disorders (2 papers), Diabetes Treatment and Management (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Behavioral Neuroscience (29 citations), Biological Psychiatry (20 citations), Anesthesiology and Pain Medicine (43 citations), Public Health, Environmental and Occupational Health (66 citations) and Genetics (63 citations). Daniel Posner has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Yuk‐Lam Ho, Kelly Cho, J. David Clark, Seshadri C. Mudumbai, Elizabeth M. Oliva, Randall S. Stafford, Todd H. Wagner, Eleanor T. Lewis, Edward R. Mariano and Jodie Trafton. Their work appears in journals such as Nature Genetics, Pain Medicine, Human Genetics and Genomics Advances, JAMA Network Open and Diabetes.
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.