Greg P. Vatcher
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
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- CRISPR and Genetic Engineering 2
- Genomics and Phylogenetic Studies 1
- 14-3-3 protein interactions 1
- Nuclear Structure and Function 1
- Co-authors
- Albert Cheung Hoi Yu (5 shared papers)Kai Gao (3 shared papers)Rui Chao Chai (3 shared papers)Feng Jiang (2 shared papers)Ann Y.K. Wong (2 shared papers)Danny Baillie (5 shared papers)Junlin Teng (1 shared paper)Na Su (1 shared paper)
- Journals
- Glia (2 papers)BioTechniques (1 paper)Gene (1 paper)Journal of Biological Chemistry (1 paper)Frontiers of Medicine (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Greg P. Vatcher
13 papers receiving 339 citations
Peers
Comparison fields: 5 of 73
- Aging 72
- Neurology 54
- Developmental Neuroscience 25
- Endocrine and Autonomic Systems 21
- Cellular and Molecular Neuroscience 55
Countries citing papers authored by Greg P. Vatcher
This map shows the geographic impact of Greg P. Vatcher'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 Greg P. Vatcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg P. Vatcher more than expected).
Fields of papers citing papers by Greg P. Vatcher
This network shows the impact of papers produced by Greg P. Vatcher. 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 Greg P. Vatcher. The network helps show where Greg P. Vatcher may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg P. Vatcher, 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 | 2013 | 121 | |
| 2 | 1999 | 46 | |
| 3 | 1998 | 35 | |
| 4 | 2012 | 35 | |
| 5 | 2013 | 34 | |
| 6 | 2007 | 19 | |
| 7 | 1998 | 19 | |
| 8 | 2015 | 10 | |
| 9 | 2015 | 10 | |
| 10 | 2014 | 8 | |
| 11 | 2002 | 6 | |
| 12 | 1999 | 3 | |
| 13 | 1998 | 1 |
About Greg P. Vatcher
Greg P. Vatcher is a scholar working on Aging, Molecular Biology, Neurology, Endocrine and Autonomic Systems and Ecology, having authored 13 papers that have together received 347 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cancer Genomics and Diagnostics (1 paper), Genomics and Phylogenetic Studies (1 paper), 14-3-3 protein interactions (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Aging (72 citations), Neurology (54 citations), Developmental Neuroscience (25 citations), Endocrine and Autonomic Systems (21 citations) and Cellular and Molecular Neuroscience (55 citations). Greg P. Vatcher has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Albert Cheung Hoi Yu, Kai Gao, Rui Chao Chai, Feng Jiang, Ann Y.K. Wong, Danny Baillie, Junlin Teng, Na Su, Jianguo Chen and Cornel Popovici. Their work appears in journals such as Glia, BioTechniques, Gene, Journal of Biological Chemistry and Frontiers 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.