George R. Uhl
- Cellular and Molecular Neuroscience top 0.01%
- Neurotransmitter Receptor Influence on Behavior 175
- Neuroscience and Neuropharmacology Research 110
- Neuropeptides and Animal Physiology 87
- Endocrine and Autonomic Systems top 0.2%
- Behavioral Neuroscience top 0.5%
- Biological Psychiatry top 0.5%
- Developmental Neuroscience top 0.5%
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- Receptor Mechanisms and Signaling 156
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- Animal Behavior and Reproduction 74
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- Insect and Arachnid Ecology and Behavior 62
- Spider Taxonomy and Behavior Studies 58
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- Pain Mechanisms and Treatments 31
- Co-authors
- Ichiro SoraSolomon H. SnyderF. Scott HallMichael J. KuharQing‐Rong LiuDonna WaltherJutta M. SchneiderTomás Drgon
- Partner nations
- United StatesGermanyJapan
In The Last Decade
George R. Uhl
461 papers receiving 24.7k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Cellular and Molecular Neuroscience 16.0k
- Endocrine and Autonomic Systems 1.7k
- Behavioral Neuroscience 812
- Biological Psychiatry 567
- Developmental Neuroscience 784
Countries citing papers authored by George R. Uhl
This map shows the geographic impact of George R. Uhl'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 George R. Uhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George R. Uhl more than expected).
Fields of papers citing papers by George R. Uhl
This network shows the impact of papers produced by George R. Uhl. 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 George R. Uhl. The network helps show where George R. Uhl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George R. Uhl, 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 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 36 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 8 | |
| 15 | 2016 | 38 | |
| 16 | 2016 | 13 | |
| 17 | 2015 | 9 | |
| 18 | 2009 | 17 | |
| 19 | 1999 | 54 | |
| 20 | 1993 | 87 |
About George R. Uhl
George R. Uhl is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 465 papers that have together received 25.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (175 papers), Receptor Mechanisms and Signaling (156 papers), Neuroscience and Neuropharmacology Research (110 papers), Neuropeptides and Animal Physiology (87 papers), Animal Behavior and Reproduction (74 papers), Insect and Arachnid Ecology and Behavior (62 papers), Spider Taxonomy and Behavior Studies (58 papers) and Pain Mechanisms and Treatments (31 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (16.0k citations), Endocrine and Autonomic Systems (1.7k citations) and Behavioral Neuroscience (812 citations). George R. Uhl has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ichiro Sora, Solomon H. Snyder, F. Scott Hall, Michael J. Kuhar, Qing‐Rong Liu, Donna Walther, Jutta M. Schneider, Tomás Drgon, Hiroki Ishiguro and Dennis L. Murphy. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.