Kevin D. Burris
- Cellular and Molecular Neuroscience top 2%
- Psychiatry and Mental health top 2%
- Molecular Biology top 10%
- Pharmacology top 5%
- Clinical Psychology top 10%
- Co-authors
- Tetsuro KikuchiPerry B. MolinoffKatsura TottoriFrank D. YoccaThaddeus F. MolskiElaine RyanCen XuElaine Sanders‐Bush
- Topics
- Receptor Mechanisms and Signaling (14 papers)Neurotransmitter Receptor Influence on Behavior (13 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Kevin D. Burris
38 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 900
- Psychiatry and Mental health 719
- Molecular Biology 694
- Pharmacology 287
- Clinical Psychology 225
Countries citing papers authored by Kevin D. Burris
This map shows the geographic impact of Kevin D. Burris'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 D. Burris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin D. Burris more than expected).
Fields of papers citing papers by Kevin D. Burris
This network shows the impact of papers produced by Kevin D. Burris. 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 D. Burris. The network helps show where Kevin D. Burris may publish in the future.
Co-authorship network of co-authors of Kevin D. Burris
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Burris. A scholar is included among the top collaborators of Kevin D. Burris 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 D. Burris. Kevin D. Burris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 32 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 23 | |
| 8 | 119 | |
| 9 | 34 | |
| 10 | 39 | |
| 11 | Aripiprazole, a Novel Antipsychotic, Is a High-Affinity Partial Agonist at Human Dopamine D2 Receptorsbreakdown → | 736 |
| 12 | 3 | |
| 13 | 27 | |
| 14 | 143 | |
| 15 | 41 | |
| 16 | 54 | |
| 17 | 34 | |
| 18 | 10 | |
| 19 | 133 | |
| 20 | 62 |
About Kevin D. Burris
Kevin D. Burris is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Neurotransmitter Receptor Influence on Behavior (13 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (900 citations), Psychiatry and Mental health (719 citations) and Biological Psychiatry (92 citations). Kevin D. Burris has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Tetsuro Kikuchi, Perry B. Molinoff, Katsura Tottori, Frank D. Yocca, Thaddeus F. Molski, Elaine Ryan, Cen Xu, Elaine Sanders‐Bush, Takashi Miwa and Arlene Stark. Their work appears in journals such as Journal of Biological Chemistry, Brain Research and The FASEB Journal.
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.