Terence H. Williams
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology
- Endocrine and Autonomic Systems top 10%
- Surgery
- Co-authors
- Jean Y. JewRobert H. BennoAsa C. BlackJeffrey P. EllisonStephen K. ItayaJames K. WamsleyTimothy P. BohanAlan F. Boyne
- Topics
- Receptor Mechanisms and Signaling (11 papers)Neuropeptides and Animal Physiology (8 papers)Neuroscience and Neuropharmacology Research (7 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsDevelopmental Neuroscience
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Terence H. Williams
36 papers receiving 693 citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 348
- Molecular Biology 274
- Physiology 126
- Endocrine and Autonomic Systems 98
- Surgery 92
Countries citing papers authored by Terence H. Williams
This map shows the geographic impact of Terence H. Williams'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 Terence H. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terence H. Williams more than expected).
Fields of papers citing papers by Terence H. Williams
This network shows the impact of papers produced by Terence H. Williams. 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 Terence H. Williams. The network helps show where Terence H. Williams may publish in the future.
Co-authorship network of co-authors of Terence H. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Terence H. Williams. A scholar is included among the top collaborators of Terence H. Williams 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 Terence H. Williams. Terence H. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 20 | |
| 3 | 6 | |
| 4 | 22 | |
| 5 | 11 | |
| 6 | 17 | |
| 7 | 26 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 23 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 26 | |
| 16 | 10 | |
| 17 | 61 | |
| 18 | 58 | |
| 19 | 17 | |
| 20 | 7 |
About Terence H. Williams
Terence H. Williams is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Structural Biology, having authored 36 papers that have together received 727 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (348 citations), Endocrine and Autonomic Systems (98 citations) and Developmental Neuroscience (56 citations). Terence H. Williams has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Jean Y. Jew, Robert H. Benno, Asa C. Black, Jeffrey P. Ellison, Stephen K. Itaya, James K. Wamsley, Timothy P. Bohan, Alan F. Boyne, Martin D. Cassell and Thackery S. Gray. Their work appears in journals such as The Journal of Cell Biology, Gastroenterology and Brain Research.
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.