Daniel P. Howsmon
Impact in
- Biological Psychiatry top 10%
-
- Diabetes Management and Research
Papers in
- Genetics 11
- Genetics and Neurodevelopmental Disorders 4
- Diabetes and associated disorders 4
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- Cardiac Valve Diseases and Treatments 7
- Co-authors
- Juergen Hahn (14 shared papers)James B. Adams (3 shared papers)B. Wayne Bequette (8 shared papers)Michael Shaffer (1 shared paper)Rosa Krajmalnik‐Brown (1 shared paper)Dae‐Wook Kang (1 shared paper)Zehra Esra Ilhan (1 shared paper)David Hoyt (1 shared paper)
- Journals
- Diabetes Technology & Therapeutics (2 papers)Bioengineering & Translational Medicine (2 papers)Journal of Diabetes Science and Technology (2 papers)APL Bioengineering (1 paper)Biomarker Research (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel P. Howsmon
32 papers receiving 977 citations
Peers
Comparison fields: 5 of 117
- Biological Psychiatry 43
- Endocrinology, Diabetes and Metabolism 214
- Cognitive Neuroscience 222
- Psychiatry and Mental health 150
- Genetics 199
Countries citing papers authored by Daniel P. Howsmon
This map shows the geographic impact of Daniel P. Howsmon'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 P. Howsmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Howsmon more than expected).
Fields of papers citing papers by Daniel P. Howsmon
This network shows the impact of papers produced by Daniel P. Howsmon. 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 P. Howsmon. The network helps show where Daniel P. Howsmon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Howsmon, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 274 | |
| 2 | 2017 | 92 | |
| 3 | 2013 | 75 | |
| 4 | 2017 | 75 | |
| 5 | 2018 | 60 | |
| 6 | 2020 | 54 | |
| 7 | 2015 | 44 | |
| 8 | 2017 | 39 | |
| 9 | 2017 | 34 | |
| 10 | 2018 | 31 | |
| 11 | 2015 | 24 | |
| 12 | 2020 | 20 | |
| 13 | 2017 | 18 | |
| 14 | 2016 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2017 | 15 | |
| 17 | 2017 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2020 | 10 |
About Daniel P. Howsmon
Daniel P. Howsmon is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 32 papers that have together received 991 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Cardiac Valve Diseases and Treatments (7 papers), Autism Spectrum Disorder Research (6 papers), Child Nutrition and Feeding Issues (5 papers), Pancreatic function and diabetes (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Diabetes and associated disorders (4 papers) and Tribology and Lubrication Engineering (4 papers). The work is most often cited by research in Biological Psychiatry (43 citations), Endocrinology, Diabetes and Metabolism (214 citations), Cognitive Neuroscience (222 citations), Psychiatry and Mental health (150 citations) and Genetics (199 citations). Daniel P. Howsmon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Juergen Hahn, James B. Adams, B. Wayne Bequette, Michael Shaffer, Rosa Krajmalnik‐Brown, Dae‐Wook Kang, Zehra Esra Ilhan, David Hoyt, Nancy Isern and Catherine Lozupone. Their work appears in journals such as Diabetes Technology & Therapeutics, Bioengineering & Translational Medicine, Journal of Diabetes Science and Technology, APL Bioengineering and Biomarker Research.
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.