Terrell T. Gibbs
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Cognitive Neuroscience top 2%
- Behavioral Neuroscience top 0.5%
- Genetics top 5%
- Co-authors
- David H. FarbFong‐Sen WuGene J. BlattAdrian L. OblakAndrew MalayevD H FarbRobert H. PurdyCharles E. Weaver
- Topics
- Neuroscience and Neuropharmacology Research (38 papers)Receptor Mechanisms and Signaling (11 papers)Pharmacological Receptor Mechanisms and Effects (10 papers)
- Journals
- Proceedings of the National Academy of SciencesBrain ResearchAnnals of the New York Academy of Sciences
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Terrell T. Gibbs
46 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 2.3k
- Molecular Biology 1.6k
- Cognitive Neuroscience 723
- Behavioral Neuroscience 635
- Genetics 635
Countries citing papers authored by Terrell T. Gibbs
This map shows the geographic impact of Terrell T. Gibbs'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 Terrell T. Gibbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terrell T. Gibbs more than expected).
Fields of papers citing papers by Terrell T. Gibbs
This network shows the impact of papers produced by Terrell T. Gibbs. 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 Terrell T. Gibbs. The network helps show where Terrell T. Gibbs may publish in the future.
Co-authorship network of co-authors of Terrell T. Gibbs
This figure shows the co-authorship network connecting the top 25 collaborators of Terrell T. Gibbs. A scholar is included among the top collaborators of Terrell T. Gibbs 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 Terrell T. Gibbs. Terrell T. Gibbs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 149 | |
| 3 | 131 | |
| 4 | 132 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 49 | |
| 8 | 37 | |
| 9 | 146 | |
| 10 | 32 | |
| 11 | 312 | |
| 12 | 72 | |
| 13 | 48 | |
| 14 | 242 | |
| 15 | 199 | |
| 16 | 65 | |
| 17 | 61 | |
| 18 | 0 | |
| 19 | 76 | |
| 20 | 21 |
About Terrell T. Gibbs
Terrell T. Gibbs is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Neurology, having authored 48 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (38 papers), Receptor Mechanisms and Signaling (11 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). The work is most often cited by research in Behavioral Neuroscience (635 citations), Cellular and Molecular Neuroscience (2.3k citations) and Biological Psychiatry (189 citations). Terrell T. Gibbs has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include David H. Farb, Fong‐Sen Wu, Gene J. Blatt, Adrian L. Oblak, Andrew Malayev, D H Farb, Robert H. Purdy, Charles E. Weaver, Shelley J. Russek and Linda K. Friedman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Brain Research and Annals of the New York 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.