William L. Green
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Ecology top 10%
- Physiology
- Pediatrics, Perinatology and Child Health
- Co-authors
- James V. FelicettaSing-Yung WuWen-Sheng HuangINDER J. CHOPRAEdward W. KamenMarguerite T. HaysCarl E. KorschgenSeymour J. Klebanoff
- Topics
- Thyroid Disorders and Treatments (16 papers)Ion channel regulation and function (5 papers)Matrix Theory and Algorithms (5 papers)
- Journals
- JAMAJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
William L. Green
34 papers receiving 784 citations
Peers
Comparison fields: 5 of 112
- Endocrinology, Diabetes and Metabolism 421
- Molecular Biology 204
- Ecology 143
- Physiology 107
- Pediatrics, Perinatology and Child Health 81
Countries citing papers authored by William L. Green
This map shows the geographic impact of William L. Green'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 L. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William L. Green more than expected).
Fields of papers citing papers by William L. Green
This network shows the impact of papers produced by William L. Green. 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 L. Green. The network helps show where William L. Green may publish in the future.
Co-authorship network of co-authors of William L. Green
This figure shows the co-authorship network connecting the top 25 collaborators of William L. Green. A scholar is included among the top collaborators of William L. Green 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 L. Green. William L. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 25 | |
| 4 | 157 | |
| 5 | 14 | |
| 6 | 47 | |
| 7 | 33 | |
| 8 | 1 | |
| 9 | 37 | |
| 10 | Disturbance of diving ducks by boaters on a migrational staging area | 45 |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 13 | |
| 18 | 10 | |
| 19 | 14 | |
| 20 | 28 |
About William L. Green
William L. Green is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Numerical Analysis, having authored 36 papers that have together received 892 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (16 papers), Ion channel regulation and function (5 papers) and Matrix Theory and Algorithms (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (421 citations), Endocrine and Autonomic Systems (45 citations) and Ecology (143 citations). William L. Green has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include James V. Felicetta, Sing-Yung Wu, Wen-Sheng Huang, INDER J. CHOPRA, Edward W. Kamen, Marguerite T. Hays, Carl E. Korschgen, Seymour J. Klebanoff, Sidney H. Ingbar and William Craelius. Their work appears in journals such as JAMA, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.