Daniel E. Wilson
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Lipid metabolism and disorders 10
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- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Co-authors
- David Fitzpatrick (6 shared papers)Benjamin Scholl (5 shared papers)Akira Hata (4 shared papers)David E. Whitney (1 shared paper)M. Emi (3 shared papers)Per‐Henrik Iverius (3 shared papers)Jean-Marc Lalouel (4 shared papers)Lianjun Wu (2 shared papers)
- Journals
- Neuron (3 papers)Nature (3 papers)Diabetes (3 papers)Journal of Biological Chemistry (2 papers)Atherosclerosis (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Daniel E. Wilson
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 137
- Biophysics 156
- Endocrinology, Diabetes and Metabolism 366
- Cellular and Molecular Neuroscience 395
- Cognitive Neuroscience 367
- Cardiology and Cardiovascular Medicine 369
Countries citing papers authored by Daniel E. Wilson
This map shows the geographic impact of Daniel E. Wilson'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 E. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Wilson more than expected).
Fields of papers citing papers by Daniel E. Wilson
This network shows the impact of papers produced by Daniel E. Wilson. 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 E. Wilson. The network helps show where Daniel E. Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Wilson, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 196 | |
| 2 | 2016 | 176 | |
| 3 | 1990 | 150 | |
| 4 | 1990 | 118 | |
| 5 | 1993 | 97 | |
| 6 | 1993 | 83 | |
| 7 | 2017 | 79 | |
| 8 | 1993 | 70 | |
| 9 | 2018 | 61 | |
| 10 | 1983 | 60 | |
| 11 | 2017 | 54 | |
| 12 | 1993 | 53 | |
| 13 | 1976 | 46 | |
| 14 | 1970 | 33 | |
| 15 | 1989 | 26 | |
| 16 | 2015 | 24 | |
| 17 | 1994 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2024 | 19 | |
| 20 | 2023 | 18 |
About Daniel E. Wilson
Daniel E. Wilson is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cognitive Neuroscience and Surgery, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Biophysics (156 citations), Endocrinology, Diabetes and Metabolism (366 citations), Cellular and Molecular Neuroscience (395 citations), Cognitive Neuroscience (367 citations) and Cardiology and Cardiovascular Medicine (369 citations). Daniel E. Wilson has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include David Fitzpatrick, Benjamin Scholl, Akira Hata, David E. Whitney, M. Emi, Per‐Henrik Iverius, Jean-Marc Lalouel, Lianjun Wu, R R Williams and J J Cream. Their work appears in journals such as Neuron, Nature, Diabetes, Journal of Biological Chemistry and Atherosclerosis.
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.