Kevin A. Serpa
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Organic Chemistry top 10%
- Psychiatry and Mental health top 10%
- Cognitive Neuroscience
- Co-authors
- Leonard T. MeltzerCurt ChristoffersenLawrence D. WiseRichard M. WoodwardEdward R. WhittemoreChristopher S. KonkoyTracy F. GregoryPeter A. Boxer
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Receptor Mechanisms and Signaling (6 papers)Pharmacological Receptor Mechanisms and Effects (5 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Kevin A. Serpa
19 papers receiving 600 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 301
- Molecular Biology 240
- Organic Chemistry 192
- Psychiatry and Mental health 105
- Cognitive Neuroscience 67
Countries citing papers authored by Kevin A. Serpa
This map shows the geographic impact of Kevin A. Serpa'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 Kevin A. Serpa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin A. Serpa more than expected).
Fields of papers citing papers by Kevin A. Serpa
This network shows the impact of papers produced by Kevin A. Serpa. 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 Kevin A. Serpa. The network helps show where Kevin A. Serpa may publish in the future.
Co-authorship network of co-authors of Kevin A. Serpa
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin A. Serpa. A scholar is included among the top collaborators of Kevin A. Serpa 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 Kevin A. Serpa. Kevin A. Serpa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 8 | |
| 3 | 42 | |
| 4 | 82 | |
| 5 | 7 | |
| 6 | 67 | |
| 7 | 95 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 85 | |
| 11 | 15 | |
| 12 | 76 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | 34 | |
| 17 | 14 | |
| 18 | 18 | |
| 19 | 17 |
About Kevin A. Serpa
Kevin A. Serpa is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Psychiatry and Mental health, having authored 19 papers that have together received 616 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Receptor Mechanisms and Signaling (6 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (301 citations), Psychiatry and Mental health (105 citations) and Organic Chemistry (192 citations). Kevin A. Serpa has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Leonard T. Meltzer, Curt Christoffersen, Lawrence D. Wise, Richard M. Woodward, Edward R. Whittemore, Christopher S. Konkoy, Tracy F. Gregory, Peter A. Boxer, Thomas A. Pugsley and James L. Burchfiel. Their work appears in journals such as Brain Research, Neuroscience & Biobehavioral Reviews and Journal of Medicinal Chemistry.
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.