Camron D. Bryant
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Physiology top 5%
- Genetics top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Christopher J. EvansShoshana EitanAbraham A. PalmerYu Chi YangMichael S. FanselowGreta SokoloffKabirullah LutfyNigel T. Maidment
- Topics
- Neurotransmitter Receptor Influence on Behavior (21 papers)Receptor Mechanisms and Signaling (15 papers)Neuropeptides and Animal Physiology (12 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaNature Neuroscience
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Camron D. Bryant
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Cellular and Molecular Neuroscience 746
- Molecular Biology 682
- Physiology 554
- Genetics 251
- Endocrine and Autonomic Systems 164
Countries citing papers authored by Camron D. Bryant
This map shows the geographic impact of Camron D. Bryant'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 Camron D. Bryant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camron D. Bryant more than expected).
Fields of papers citing papers by Camron D. Bryant
This network shows the impact of papers produced by Camron D. Bryant. 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 Camron D. Bryant. The network helps show where Camron D. Bryant may publish in the future.
Co-authorship network of co-authors of Camron D. Bryant
This figure shows the co-authorship network connecting the top 25 collaborators of Camron D. Bryant. A scholar is included among the top collaborators of Camron D. Bryant 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 Camron D. Bryant. Camron D. Bryant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 20 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 11 | |
| 11 | 24 | |
| 12 | 15 | |
| 13 | 16 | |
| 14 | 3 | |
| 15 | 52 | |
| 16 | 37 | |
| 17 | 33 | |
| 18 | 25 | |
| 19 | 61 | |
| 20 | 52 |
About Camron D. Bryant
Camron D. Bryant is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (21 papers), Receptor Mechanisms and Signaling (15 papers) and Neuropeptides and Animal Physiology (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (746 citations), Behavioral Neuroscience (117 citations) and Endocrine and Autonomic Systems (164 citations). Camron D. Bryant has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Christopher J. Evans, Shoshana Eitan, Abraham A. Palmer, Yu Chi Yang, Michael S. Fanselow, Greta Sokoloff, Kabirullah Lutfy, Nigel T. Maidment, Hiroshi Takeshima and F. Ivy Carroll. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature Neuroscience.
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.