Gene G. Kinney
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 32
- Neurotransmitter Receptor Influence on Behavior 8
- Biological Psychiatry top 2%
- Physiology top 1%
- Alzheimer's disease research and treatments 21
- Neurology top 2%
- Neurology top 2%
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- Amyloidosis: Diagnosis, Treatment, Outcomes 22
- Receptor Mechanisms and Signaling 14
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- Computational Drug Discovery Methods 12
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- Memory and Neural Mechanisms 11
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- Drug Transport and Resistance Mechanisms 8
- Co-authors
- P. Jeffrey ConnCyrille SurBernát KocsisRobert P. VertesMaryann BurnoPaul J. ShughrueDavid L. WilliamsCraig W. Lindsley
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Gene G. Kinney
86 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 107
- Cellular and Molecular Neuroscience 2.4k
- Biological Psychiatry 240
- Physiology 1.4k
- Neurology 449
- Neurology 640
Countries citing papers authored by Gene G. Kinney
This map shows the geographic impact of Gene G. Kinney'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 Gene G. Kinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene G. Kinney more than expected).
Fields of papers citing papers by Gene G. Kinney
This network shows the impact of papers produced by Gene G. Kinney. 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 Gene G. Kinney. The network helps show where Gene G. Kinney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gene G. Kinney, 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 | 2023 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 6 | |
| 4 | 2016 | 147 | |
| 5 | 2016 | 1 | |
| 6 | 2012 | 4 | |
| 7 | 2012 | 40 | |
| 8 | 2010 | 60 | |
| 9 | 2009 | 16 | |
| 10 | 2009 | 15 | |
| 11 | 2006 | 32 | |
| 12 | 2006 | 88 | |
| 13 | 2004 | 97 | |
| 14 | 2000 | 48 | |
| 15 | 1998 | 44 | |
| 16 | 1996 | 49 | |
| 17 | 1995 | 81 | |
| 18 | 1995 | 51 | |
| 19 | 1994 | 11 | |
| 20 | 1994 | 87 |
About Gene G. Kinney
Gene G. Kinney is a scholar working on Cellular and Molecular Neuroscience, Physiology and Biochemistry, having authored 89 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Alzheimer's disease research and treatments (21 papers), Receptor Mechanisms and Signaling (14 papers), Computational Drug Discovery Methods (12 papers), Memory and Neural Mechanisms (11 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Drug Transport and Resistance Mechanisms (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Biological Psychiatry (240 citations) and Physiology (1.4k citations). Gene G. Kinney has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include P. Jeffrey Conn, Cyrille Sur, Bernát Kocsis, Robert P. Vertes, Maryann Burno, Paul J. Shughrue, David L. Williams, Craig W. Lindsley, Wagner Zago and Michael Grundman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.