W. J. GREENLEE
- Molecular Biology
- Organic Chemistry top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism
- Cellular and Molecular Neuroscience
- Co-authors
- Victor J. LottiDavid HangauerPeter K. S. SieglR S ChangNathan B. MantloProbir ChakravartyA. A. PATCHETTGilbert Stork
- Topics
- Receptor Mechanisms and Signaling (7 papers)Chemical Synthesis and Analysis (6 papers)Synthesis and Biological Evaluation (6 papers)
- Cited by
- Organic ChemistryCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Journal of the American Chemical SocietyJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United States
In The Last Decade
W. J. GREENLEE
21 papers receiving 540 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 296
- Organic Chemistry 252
- Cardiology and Cardiovascular Medicine 190
- Endocrinology, Diabetes and Metabolism 74
- Cellular and Molecular Neuroscience 58
Countries citing papers authored by W. J. GREENLEE
This map shows the geographic impact of W. J. GREENLEE'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 W. J. GREENLEE with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. J. GREENLEE more than expected).
Fields of papers citing papers by W. J. GREENLEE
This network shows the impact of papers produced by W. J. GREENLEE. 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 W. J. GREENLEE. The network helps show where W. J. GREENLEE may publish in the future.
Co-authorship network of co-authors of W. J. GREENLEE
This figure shows the co-authorship network connecting the top 25 collaborators of W. J. GREENLEE. A scholar is included among the top collaborators of W. J. GREENLEE 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 W. J. GREENLEE. W. J. GREENLEE is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 30 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | 45 | |
| 10 | 88 | |
| 11 | 41 | |
| 12 | 98 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 50 | |
| 16 | 7 | |
| 17 | 16 | |
| 18 | 76 | |
| 19 | 15 | |
| 20 | 3 |
About W. J. GREENLEE
W. J. GREENLEE is a scholar working on Organic Chemistry, Biochemistry and Pharmacology, having authored 21 papers that have together received 573 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Chemical Synthesis and Analysis (6 papers) and Synthesis and Biological Evaluation (6 papers). The work is most often cited by research in Organic Chemistry (252 citations), Cardiology and Cardiovascular Medicine (190 citations) and Endocrinology, Diabetes and Metabolism (74 citations). W. J. GREENLEE has collaborated with scholars based in United States. Frequent co-authors include Victor J. Lotti, David Hangauer, Peter K. S. Siegl, R S Chang, Nathan B. Mantlo, Probir Chakravarty, A. A. PATCHETT, Gilbert Stork, Yoshiaki Nakahara and Yuko Nakahara. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.
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.