Greg Vatcher

756 citations
14 papers · 357 indexed · h-index 9

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 5
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Greg Vatcher

14 papers receiving 349 citations

Peers

Greg Vatcher
Comparison fields: 5 of 78
  • Aging 96
  • Neurology 55
  • Developmental Neuroscience 27
  • Endocrine and Autonomic Systems 26
  • Molecular Biology 212
Replace Pengcheng Shu with:
Pengcheng Shu China
Yardena Segev Israel
Julie Pilotte United States
Jon Iker Etchegaray United States
Michael J. Hipp United States
Francesco Olimpico Italy
Alexander Andreev‐Andrievskiy Russia
Ilija Melentijevic United States
Sushil Devkota South Korea
Alba de Juan France
Greg Vatcher relative to Pengcheng Shu China Pengcheng Shu's profile →
Citations per field
00.5×2.5×
Pengcheng Shu · 1×
Citations per year

Countries citing papers authored by Greg Vatcher

Since Specialization
Citations

This map shows the geographic impact of Greg 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 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 Vatcher more than expected).

Fields of papers citing papers by Greg Vatcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg 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 Vatcher. The network helps show where Greg Vatcher may publish in the future.

Co-authors

The 25 scholars most cited alongside Greg Vatcher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Greg Vatcher Line = papers co-authored together Greg Vatcher links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013116
2 199947
3 199835
4 201333
5 201232
6 199725
7 200718
8 199818
9 201510
10 20158
11 20146
12 20025
13 19993
14 19981

About Greg Vatcher

Greg Vatcher is a scholar working on Aging, Neurology, Molecular Biology, Endocrine and Autonomic Systems and Cancer Research, having authored 14 papers that have together received 357 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), CRISPR and Genetic Engineering (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Signaling Pathways in Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Genomics and Phylogenetic Studies (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Aging (96 citations), Neurology (55 citations), Developmental Neuroscience (27 citations), Endocrine and Autonomic Systems (26 citations) and Molecular Biology (212 citations). Greg Vatcher has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Albert Cheung Hoi Yu, Rui Chai, Kai Gao, Ann Y.K. Wong, Feng Jiang, David L. Baillie, Junlin Teng, Na Su, Jianguo Chen and Yuwu Jiang. Their work appears in journals such as Glia, Frontiers of Medicine, BMC Genomics, Gene and Journal of Biological Chemistry.

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.

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