Daniel Posner
Impact in
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- Stress Responses and Cortisol
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- Tryptophan and brain disorders
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 5
- Diabetes and associated disorders 1
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- Cardiovascular Health and Risk Factors 2
- Acute Myocardial Infarction Research 1
- Co-authors
- Yuk‐Lam Ho (9 shared papers)Kelly Cho (11 shared papers)Edward R. Mariano (1 shared paper)Elizabeth M. Oliva (1 shared paper)Eleanor T. Lewis (1 shared paper)Randall S. Stafford (1 shared paper)Todd H. Wagner (1 shared paper)J. David Clark (1 shared paper)
- Journals
- Frontiers in Genetics (1 paper)Diabetes (1 paper)Circulation Cardiovascular Quality and Outcomes (1 paper)Clinical Epidemiology (1 paper)Pain Medicine (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Daniel Posner
16 papers receiving 312 citations
Peers
Comparison fields: 5 of 71
- Behavioral Neuroscience 26
- Biological Psychiatry 16
- Anesthesiology and Pain Medicine 16
- Developmental Neuroscience 10
- Genetics 59
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 | 112 | |
| 2 | 2016 | 63 | |
| 3 | 2017 | 37 | |
| 4 | 2023 | 22 | |
| 5 | 2024 | 20 | |
| 6 | 2018 | 17 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 3 |
About Daniel Posner
Daniel Posner is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology, having authored 16 papers that have together received 317 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Cardiovascular Health and Risk Factors (2 papers), Diabetes Management and Research (1 paper), Opioid Use Disorder Treatment (1 paper), Diabetes and associated disorders (1 paper), Advanced Causal Inference Techniques (1 paper), Acute Myocardial Infarction Research (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Behavioral Neuroscience (26 citations), Biological Psychiatry (16 citations), Anesthesiology and Pain Medicine (16 citations), Developmental Neuroscience (10 citations) and Genetics (59 citations). Daniel Posner has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Yuk‐Lam Ho, Kelly Cho, Edward R. Mariano, Elizabeth M. Oliva, Eleanor T. Lewis, Randall S. Stafford, Todd H. Wagner, J. David Clark, Seshadri C. Mudumbai and Jodie Trafton. Their work appears in journals such as Frontiers in Genetics, Diabetes, Circulation Cardiovascular Quality and Outcomes, Clinical Epidemiology and Pain 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.