William J. Faught
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Cellular and Molecular Neuroscience
- Reproductive Medicine top 10%
- Co-authors
- L. Stephen FrawleyRhonda D. KinemanFredric R. BoockforGilles M. LeclercCarlos VillalobosLucı́a NúñezSpencer ShorteElizabeth Abraham
- Topics
- Growth Hormone and Insulin-like Growth Factors (7 papers)bioluminescence and chemiluminescence research (3 papers)Gene Regulatory Network Analysis (3 papers)
- Journals
- Proceedings of the National Academy of SciencesEndocrinologyAnnals of the New York Academy of Sciences
- Partner nations
- United States
In The Last Decade
William J. Faught
21 papers receiving 532 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 282
- Endocrinology, Diabetes and Metabolism 168
- Genetics 112
- Cellular and Molecular Neuroscience 89
- Reproductive Medicine 79
Countries citing papers authored by William J. Faught
This map shows the geographic impact of William J. Faught'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 J. Faught with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Faught more than expected).
Fields of papers citing papers by William J. Faught
This network shows the impact of papers produced by William J. Faught. 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 J. Faught. The network helps show where William J. Faught may publish in the future.
Co-authorship network of co-authors of William J. Faught
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Faught. A scholar is included among the top collaborators of William J. Faught 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 J. Faught. William J. Faught is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 123 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 4 | |
| 9 | 41 | |
| 10 | 0 | |
| 11 | 36 | |
| 12 | Real-time monitoring of estrogen-regulated gene expression in single, living breast cancer cells: a new paradigm for the study of molecular dynamics. | 14 |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 25 | |
| 16 | 27 | |
| 17 | 47 | |
| 18 | 27 | |
| 19 | 29 | |
| 20 | 26 |
About William J. Faught
William J. Faught is a scholar working on Biophysics, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 22 papers that have together received 542 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), bioluminescence and chemiluminescence research (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Reproductive Medicine (79 citations) and Endocrine and Autonomic Systems (58 citations). William J. Faught has collaborated with scholars based in United States. Frequent co-authors include L. Stephen Frawley, Rhonda D. Kineman, Fredric R. Boockfor, Gilles M. Leclerc, Carlos Villalobos, Lucı́a Núñez, Spencer Shorte, Elizabeth Abraham, Rafael Vázquez-Martı́nez and Justo P. Castaño. Their work appears in journals such as Proceedings of the National Academy of Sciences, Endocrinology and Annals of the New York Academy of Sciences.
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.