Geoffrey A. Kerchner
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Physiology top 1%
- Cognitive Neuroscience top 1%
- Neurology top 1%
- Co-authors
- Min ZhuoRoger A. NicollYa‐Ping TangGuosong LiuEiji ShimizuGilles DubéClaire RamponJoe Z. Tsien
- Topics
- Alzheimer's disease research and treatments (29 papers)Neuroscience and Neuropharmacology Research (18 papers)Dementia and Cognitive Impairment Research (16 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Geoffrey A. Kerchner
72 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cellular and Molecular Neuroscience 2.7k
- Molecular Biology 2.0k
- Physiology 1.8k
- Cognitive Neuroscience 1.4k
- Neurology 768
Countries citing papers authored by Geoffrey A. Kerchner
This map shows the geographic impact of Geoffrey A. Kerchner'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 Geoffrey A. Kerchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey A. Kerchner more than expected).
Fields of papers citing papers by Geoffrey A. Kerchner
This network shows the impact of papers produced by Geoffrey A. Kerchner. 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 Geoffrey A. Kerchner. The network helps show where Geoffrey A. Kerchner may publish in the future.
Co-authorship network of co-authors of Geoffrey A. Kerchner
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey A. Kerchner. A scholar is included among the top collaborators of Geoffrey A. Kerchner 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 Geoffrey A. Kerchner. Geoffrey A. Kerchner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 48 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 21 | |
| 10 | 31 | |
| 11 | 44 | |
| 12 | 82 | |
| 13 | A meta-analysis of genome-wide association studies identifies 17 new Parkinson's disease risk locibreakdown → | 772 |
| 14 | 235 | |
| 15 | 25 | |
| 16 | 37 | |
| 17 | 139 | |
| 18 | 242 | |
| 19 | Genetic enhancement of learning and memory in micebreakdown → | 1442 |
| 20 | 114 |
About Geoffrey A. Kerchner
Geoffrey A. Kerchner is a scholar working on Physiology, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 74 papers that have together received 6.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), Neuroscience and Neuropharmacology Research (18 papers) and Dementia and Cognitive Impairment Research (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.7k citations), Neurology (716 citations) and Developmental Neuroscience (310 citations). Geoffrey A. Kerchner has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Min Zhuo, Roger A. Nicoll, Ya‐Ping Tang, Guosong Liu, Eiji Shimizu, Gilles Dubé, Claire Rampon, Joe Z. Tsien, James E. Huettner and Lorella M.T. Canzoniero. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.