Gregory W. Terman
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Molecular Biology top 10%
- Behavioral Neuroscience top 1%
- Pharmacology top 2%
- Co-authors
- John C. LiebeskindJames W. LewisYehuda ShavitCharles ChavkinRobert Peter GaleJ. Timothy CannonJohn J. WagnerMichael J. Morgan
- Topics
- Pain Mechanisms and Treatments (21 papers)Neuropeptides and Animal Physiology (17 papers)Neuroscience and Neuropharmacology Research (11 papers)
- Partner nations
- United StatesSwitzerlandArgentina
In The Last Decade
Gregory W. Terman
42 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 1.5k
- Physiology 1.2k
- Molecular Biology 850
- Behavioral Neuroscience 433
- Pharmacology 383
Countries citing papers authored by Gregory W. Terman
This map shows the geographic impact of Gregory W. Terman'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 Gregory W. Terman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory W. Terman more than expected).
Fields of papers citing papers by Gregory W. Terman
This network shows the impact of papers produced by Gregory W. Terman. 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 Gregory W. Terman. The network helps show where Gregory W. Terman may publish in the future.
Co-authorship network of co-authors of Gregory W. Terman
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory W. Terman. A scholar is included among the top collaborators of Gregory W. Terman 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 Gregory W. Terman. Gregory W. Terman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Estimated Rates of Incident and Persistent Chronic Pain Among US Adults, 2019-2020breakdown → | 106 |
| 2 | 2 | |
| 3 | 113 | |
| 4 | 161 | |
| 5 | 83 | |
| 6 | Postoperative Opioid-induced Respiratory Depressionbreakdown → | 324 |
| 7 | 16 | |
| 8 | 39 | |
| 9 | 13 | |
| 10 | 19 | |
| 11 | 62 | |
| 12 | 125 | |
| 13 | 83 | |
| 14 | 60 | |
| 15 | 32 | |
| 16 | 12 | |
| 17 | 53 | |
| 18 | 83 | |
| 19 | 6 | |
| 20 | 451 |
About Gregory W. Terman
Gregory W. Terman is a scholar working on Anesthesiology and Pain Medicine, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 42 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (17 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Behavioral Neuroscience (433 citations), Cellular and Molecular Neuroscience (1.5k citations) and Anesthesiology and Pain Medicine (371 citations). Gregory W. Terman has collaborated with scholars based in United States, Switzerland and Argentina. Frequent co-authors include John C. Liebeskind, James W. Lewis, Yehuda Shavit, Charles Chavkin, Robert Peter Gale, J. Timothy Cannon, John J. Wagner, Michael J. Morgan, Karen B. Domino and Linda S. Stephens. Their work appears in journals such as Nature, Science and Proceedings of the National 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.