William E. Nash
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Endocrinology top 2%
- Enterobacteriaceae and Cronobacter Research
Papers in
-
- Hormonal Regulation and Hypertension 5
- Hormonal and reproductive studies 1
-
- Aldose Reductase and Taurine 3
- Co-authors
- Lijuan Zhou (1 shared paper)Wei Wu (1 shared paper)Jane Y. Wu (1 shared paper)Sophie Dupuis (1 shared paper)Yi Rao (1 shared paper)Wenlin Yuan (1 shared paper)Zhi‐Hong Jiang (1 shared paper)David M. Ornitz (1 shared paper)
- Journals
- The Journal of Steroid Biochemistry and Molecular Biology (3 papers)Journal of Biological Chemistry (2 papers)PLoS ONE (1 paper)Cell (1 paper)Journal of the Society for Gynecologic Investigation (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
William E. Nash
8 papers receiving 698 citations
Peers
Comparison fields: 5 of 65
- Developmental Neuroscience 202
- Endocrinology 170
- Cellular and Molecular Neuroscience 369
- Cell Biology 148
- Parasitology 44
Countries citing papers authored by William E. Nash
This map shows the geographic impact of William E. Nash'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 E. Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Nash more than expected).
Fields of papers citing papers by William E. Nash
This network shows the impact of papers produced by William E. Nash. 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 E. Nash. The network helps show where William E. Nash may publish in the future.
Co-authors
The 25 scholars most cited alongside William E. Nash, 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 | 1999 | 408 | |
| 2 | 2010 | 184 | |
| 3 | 1995 | 42 | |
| 4 | 1998 | 34 | |
| 5 | 1993 | 28 | |
| 6 | 1994 | 11 | |
| 7 | 1994 | 7 | |
| 8 | 1996 | 3 |
About William E. Nash
William E. Nash is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 717 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Aldose Reductase and Taurine (3 papers), Steroid Chemistry and Biochemistry (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Enterobacteriaceae and Cronobacter Research (1 paper), Estrogen and related hormone effects (1 paper), Hormonal and reproductive studies (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Developmental Neuroscience (202 citations), Endocrinology (170 citations), Cellular and Molecular Neuroscience (369 citations), Cell Biology (148 citations) and Parasitology (44 citations). William E. Nash has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lijuan Zhou, Wei Wu, Jane Y. Wu, Sophie Dupuis, Yi Rao, Wenlin Yuan, Zhi‐Hong Jiang, David M. Ornitz, James L. Thomas and Ronald C. Strickler. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Journal of Biological Chemistry, PLoS ONE, Cell and Journal of the Society for Gynecologic Investigation.
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.