John D. McCorvy
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
- Biological Psychiatry top 5%
Papers in
-
- Neurotransmitter Receptor Influence on Behavior 28
- Neuropeptides and Animal Physiology 18
- Neuroscience and Neuropharmacology Research 5
-
- Psychedelics and Drug Studies 21
- Co-authors
- Bryan L. RothXi‐Ping HuangPhilippe GiguèreMaria F. SassanoKatherine LansuBrian K. ShoichetTao CheWesley K. Kroeze
- Journals
- Journal of Medicinal Chemistry (8 papers)ACS Chemical Neuroscience (5 papers)Science (4 papers)ACS Pharmacology & Translational Science (4 papers)Nature Communications (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John D. McCorvy
65 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 2.5k
- Biological Psychiatry 138
- Molecular Biology 3.0k
- Clinical Psychology 878
- Toxicology 115
Countries citing papers authored by John D. McCorvy
This map shows the geographic impact of John D. McCorvy'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 John D. McCorvy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. McCorvy more than expected).
Fields of papers citing papers by John D. McCorvy
This network shows the impact of papers produced by John D. McCorvy. 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 John D. McCorvy. The network helps show where John D. McCorvy may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. McCorvy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 75 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 35 | |
| 9 | 2022 | 43 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 29 | |
| 15 | 2018 | 116 | |
| 16 | 2017 | 217 | |
| 17 | 2016 | 33 | |
| 18 | 2014 | 26 | |
| 19 | Structural Features for Functional Selectivity at Serotonin Receptors Hit paper breakdown → | 2013 | 543 |
| 20 | 2011 | 7 |
About John D. McCorvy
John D. McCorvy is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology, Organic Chemistry, Molecular Biology and Endocrine and Autonomic Systems, having authored 71 papers that have together received 4.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (38 papers), Neurotransmitter Receptor Influence on Behavior (28 papers), Psychedelics and Drug Studies (21 papers), Neuropeptides and Animal Physiology (18 papers), Chemical synthesis and alkaloids (16 papers), Pharmacological Receptor Mechanisms and Effects (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Biochemical Analysis and Sensing Techniques (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.5k citations), Biological Psychiatry (138 citations), Molecular Biology (3.0k citations), Clinical Psychology (878 citations) and Toxicology (115 citations). John D. McCorvy has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Bryan L. Roth, Xi‐Ping Huang, Philippe Giguère, Maria F. Sassano, Katherine Lansu, Brian K. Shoichet, Tao Che, Wesley K. Kroeze, Noah Sciaky and Daniel Wacker. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Chemical Neuroscience, Science, ACS Pharmacology & Translational Science and Nature Communications.
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.