Newton C. Gordon
- Physiology top 1%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Surgery top 5%
- Anesthesiology and Pain Medicine top 0.5%
- Co-authors
- Jon D. LevineHoward L. FieldsPhilip H. HellerRobert W. GearSteven M. PaulChristine MiaskowskiR. T. JonesJudith Smith
- Topics
- Pain Mechanisms and Treatments (32 papers)Neuropeptides and Animal Physiology (17 papers)Anesthesia and Pain Management (10 papers)
- Partner nations
- United StatesMyanmarUnited Kingdom
In The Last Decade
Newton C. Gordon
48 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 122
- Physiology 1.4k
- Cellular and Molecular Neuroscience 891
- Cognitive Neuroscience 787
- Surgery 633
- Anesthesiology and Pain Medicine 556
Countries citing papers authored by Newton C. Gordon
This map shows the geographic impact of Newton C. Gordon'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 Newton C. Gordon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Newton C. Gordon more than expected).
Fields of papers citing papers by Newton C. Gordon
This network shows the impact of papers produced by Newton C. Gordon. 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 Newton C. Gordon. The network helps show where Newton C. Gordon may publish in the future.
Co-authorship network of co-authors of Newton C. Gordon
This figure shows the co-authorship network connecting the top 25 collaborators of Newton C. Gordon. A scholar is included among the top collaborators of Newton C. Gordon 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 Newton C. Gordon. Newton C. Gordon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 16 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 218 | |
| 6 | 60 | |
| 7 | 359 | |
| 8 | 19 | |
| 9 | 96 | |
| 10 | 51 | |
| 11 | 33 | |
| 12 | 24 | |
| 13 | 19 | |
| 14 | 97 | |
| 15 | 21 | |
| 16 | 58 | |
| 17 | 12 | |
| 18 | 57 | |
| 19 | Physiological substrates of placebo analgesia. | 1 |
| 20 | 89 |
About Newton C. Gordon
Newton C. Gordon is a scholar working on Anesthesiology and Pain Medicine, Physiology and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (32 papers), Neuropeptides and Animal Physiology (17 papers) and Anesthesia and Pain Management (10 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (556 citations), Physiology (1.4k citations) and Cellular and Molecular Neuroscience (891 citations). Newton C. Gordon has collaborated with scholars based in United States, Myanmar and United Kingdom. Frequent co-authors include Jon D. Levine, Howard L. Fields, Philip H. Heller, Robert W. Gear, Steven M. Paul, Christine Miaskowski, Jon D. Levine, R. T. Jones, Judith Smith and Julia Faucett. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.