William O. Wilkison
- Molecular Biology top 2%
- Physiology top 1%
- Nutrition and Dietetics top 0.5%
- Epidemiology top 2%
- Endocrine and Autonomic Systems top 0.5%
- Co-authors
- Steven A. KliewerJürgen M. LehmannTimothy M. WillsonLinda B. MooreTracey Smith-OliverJeffrey M. GimbleYuan‐Di C. HalvorsenDerril H. Willard
- Topics
- Adipose Tissue and Metabolism (9 papers)melanin and skin pigmentation (8 papers)Regulation of Appetite and Obesity (8 papers)
- Partner nations
- United StatesNew ZealandSwitzerland
In The Last Decade
William O. Wilkison
30 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 3.9k
- Physiology 2.0k
- Nutrition and Dietetics 1.1k
- Epidemiology 1.1k
- Endocrine and Autonomic Systems 1.1k
Countries citing papers authored by William O. Wilkison
This map shows the geographic impact of William O. Wilkison'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 William O. Wilkison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William O. Wilkison more than expected).
Fields of papers citing papers by William O. Wilkison
This network shows the impact of papers produced by William O. Wilkison. 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 William O. Wilkison. The network helps show where William O. Wilkison may publish in the future.
Co-authorship network of co-authors of William O. Wilkison
This figure shows the co-authorship network connecting the top 25 collaborators of William O. Wilkison. A scholar is included among the top collaborators of William O. Wilkison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William O. Wilkison. William O. Wilkison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 10 | |
| 4 | Neurogenic differentiation of murine and human adipose-derived stromal cellsbreakdown → | 628 |
| 5 | 213 | |
| 6 | 153 | |
| 7 | 165 | |
| 8 | 415 | |
| 9 | 14 | |
| 10 | 173 | |
| 11 | 121 | |
| 12 | 69 | |
| 13 | 129 | |
| 14 | 26 | |
| 15 | 141 | |
| 16 | 41 | |
| 17 | An Antidiabetic Thiazolidinedione Is a High Affinity Ligand for Peroxisome Proliferator-activated Receptor γ (PPARγ)breakdown → | 3145 |
| 18 | 60 | |
| 19 | Agouti protein is an antagonist of the melanocyte-stimulating-hormone receptorbreakdown → | 851 |
| 20 | 263 |
About William O. Wilkison
William O. Wilkison is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Biochemistry, having authored 30 papers that have together received 7.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), melanin and skin pigmentation (8 papers) and Regulation of Appetite and Obesity (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Genetics (1.1k citations) and Physiology (2.0k citations). William O. Wilkison has collaborated with scholars based in United States, New Zealand and Switzerland. Frequent co-authors include Steven A. Kliewer, Jürgen M. Lehmann, Timothy M. Willson, Linda B. Moore, Tracey Smith-Oliver, Jeffrey M. Gimble, Yuan‐Di C. Halvorsen, Derril H. Willard, Dawn M. Franklin and Shawn D. Safford. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.
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.