R. Glenn Hammonds
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Oncology top 2%
- Genetics top 5%
- Immunology top 5%
- Co-authors
- William I. WoodSteven A. SpencerWilliam J. HenzelRoss BarnardDavid W. M. LeungGeorge CachianesMichael J. WatersCarol H. Collins
- Topics
- Neuropeptides and Animal Physiology (30 papers)Receptor Mechanisms and Signaling (27 papers)Chemical Synthesis and Analysis (20 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
R. Glenn Hammonds
64 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.6k
- Endocrinology, Diabetes and Metabolism 1.5k
- Oncology 1.2k
- Genetics 648
- Immunology 598
Countries citing papers authored by R. Glenn Hammonds
This map shows the geographic impact of R. Glenn Hammonds'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 R. Glenn Hammonds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Glenn Hammonds more than expected).
Fields of papers citing papers by R. Glenn Hammonds
This network shows the impact of papers produced by R. Glenn Hammonds. 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 R. Glenn Hammonds. The network helps show where R. Glenn Hammonds may publish in the future.
Co-authorship network of co-authors of R. Glenn Hammonds
This figure shows the co-authorship network connecting the top 25 collaborators of R. Glenn Hammonds. A scholar is included among the top collaborators of R. Glenn Hammonds 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 R. Glenn Hammonds. R. Glenn Hammonds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 168 | |
| 3 | 168 | |
| 4 | 186 | |
| 5 | 52 | |
| 6 | 122 | |
| 7 | 144 | |
| 8 | 112 | |
| 9 | 136 | |
| 10 | 15 | |
| 11 | 47 | |
| 12 | 3 | |
| 13 | 76 | |
| 14 | 66 | |
| 15 | Growth hormone receptor and serum binding protein: purification, cloning and expressionbreakdown → | 1282 |
| 16 | 5 | |
| 17 | 75 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 21 |
About R. Glenn Hammonds
R. Glenn Hammonds is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 64 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (30 papers), Receptor Mechanisms and Signaling (27 papers) and Chemical Synthesis and Analysis (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Oncology (1.2k citations) and Molecular Biology (2.6k citations). R. Glenn Hammonds has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include William I. Wood, Steven A. Spencer, William J. Henzel, Ross Barnard, David W. M. Leung, George Cachianes, Michael J. Waters, Carol H. Collins, T. John Martin and Henry Rodriguez. Their work appears in journals such as Nature, Science and Cell.
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.