John T. Pelton
- Molecular Biology top 5%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Biophysics top 1%
- Co-authors
- Larry R. McLeanVladimı́r SaudekRobert C. MillerVictor J. HrubyRoger AtkinsonC. Robin HileyJohn P. HugginsKároly Gulya
- Topics
- Receptor Mechanisms and Signaling (23 papers)Nitric Oxide and Endothelin Effects (21 papers)Neuropeptides and Animal Physiology (17 papers)
- Partner nations
- United StatesFranceHungary
In The Last Decade
John T. Pelton
62 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 2.0k
- Physiology 1.1k
- Cellular and Molecular Neuroscience 908
- Cardiology and Cardiovascular Medicine 343
- Biophysics 266
Countries citing papers authored by John T. Pelton
This map shows the geographic impact of John T. Pelton'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 John T. Pelton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Pelton more than expected).
Fields of papers citing papers by John T. Pelton
This network shows the impact of papers produced by John T. Pelton. 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 John T. Pelton. The network helps show where John T. Pelton may publish in the future.
Co-authorship network of co-authors of John T. Pelton
This figure shows the co-authorship network connecting the top 25 collaborators of John T. Pelton. A scholar is included among the top collaborators of John T. Pelton 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 John T. Pelton. John T. Pelton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Spectroscopic Methods for Analysis of Protein Secondary Structurebreakdown → | 998 |
| 2 | 34 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 120 | |
| 7 | 45 | |
| 8 | 84 | |
| 9 | 29 | |
| 10 | 41 | |
| 11 | 56 | |
| 12 | 44 | |
| 13 | 38 | |
| 14 | 65 | |
| 15 | 210 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 36 | |
| 19 | Conformational considerations in the design of glucagon agonists and antagonists: examination using synthetic analogs. | 5 |
| 20 | 14 |
About John T. Pelton
John T. Pelton is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Physiology, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Nitric Oxide and Endothelin Effects (21 papers) and Neuropeptides and Animal Physiology (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (908 citations), Biophysics (266 citations) and Physiology (1.1k citations). John T. Pelton has collaborated with scholars based in United States, France and Hungary. Frequent co-authors include Larry R. McLean, Vladimı́r Saudek, Robert C. Miller, Victor J. Hruby, Roger Atkinson, C. Robin Hiley, John P. Huggins, Károly Gulya, Henry I. Yamamura and Jan Hoflack. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Biochemistry.
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.