Daniel E. Wilson
- Biophysics top 2%
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 8
-
- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 3
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
-
- Lipid metabolism and disorders 10
-
- Lipoproteins and Cardiovascular Health 5
-
- Peroxisome Proliferator-Activated Receptors 4
-
- Cancer, Lipids, and Metabolism 3
- Co-authors
- David FitzpatrickBenjamin SchollAkira HataDavid E. WhitneyM. EmiPer‐Henrik IveriusJean-Marc LalouelLianjun Wu
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel E. Wilson
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Biophysics 153
- Endocrinology, Diabetes and Metabolism 400
- Cellular and Molecular Neuroscience 380
- Cognitive Neuroscience 356
- Cardiology and Cardiovascular Medicine 386
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 17 | |
| 5 | 2019 | 10 | |
| 6 | 2018 | 56 | |
| 7 | 2017 | 183 | |
| 8 | 2017 | 52 | |
| 9 | 2017 | 71 | |
| 10 | 2016 | 171 | |
| 11 | 2015 | 24 | |
| 12 | Benefits of preheating resin composite before placement. | 2009 | 1 |
| 13 | 1997 | 1 | |
| 14 | 1993 | 63 | |
| 15 | 1993 | 82 | |
| 16 | 1990 | 140 | |
| 17 | 1990 | 115 | |
| 18 | 1986 | 2 | |
| 19 | 1976 | 44 | |
| 20 | 1970 | 31 |
About Daniel E. Wilson
Daniel E. Wilson is a scholar working on Library and Information Sciences, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 1.4k 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), Photoreceptor and optogenetics research (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Biophysics (153 citations), Endocrinology, Diabetes and Metabolism (400 citations) and Cellular and Molecular Neuroscience (380 citations). Daniel E. Wilson has collaborated with scholars based in United States, Germany 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 Diabetes, Nature, Neuron, Atherosclerosis and Nature Neuroscience.
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.