Gregory M. Davis

468 citations
13 papers · 364 · h-index 9

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • MicroRNA in disease regulation

Papers in

    • DNA Repair Mechanisms 2
    • CRISPR and Genetic Engineering 2
    • RNA Research and Splicing 2
    • Genetics, Aging, and Longevity in Model Organisms 6

Gregory M. Davis

13 papers receiving 360 citations

Peers

Gregory M. Davis
Comparison fields: 5 of 81
  • Aging 23
  • Cancer Research 52
  • Pharmacology 29
  • Physiology 15
  • Molecular Biology 220
Replace Cristina Mascaró with:
Cristina Mascaró Spain
Young-Mee Park South Korea
John W. Koontz United States
Bárbara Paranhos Coelho Brazil
Vassilios N. Kotiadis United Kingdom
Alexis Schubert Germany
Chongshu Jian China
Nicholas J. Carruthers United States
Laia Bosch‐Presegué Spain
Charlotte Scholtes Canada
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Citations per field
00.5×
Cristina Mascaró · 1×
Citations per year

Countries citing papers authored by Gregory M. Davis

Since Specialization
Citations

This map shows the geographic impact of Gregory M. Davis'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 Gregory M. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory M. Davis more than expected).

Fields of papers citing papers by Gregory M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory M. Davis. 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 Gregory M. Davis. The network helps show where Gregory M. Davis may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory M. Davis, 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 Gregory M. Davis Line = papers co-authored together Gregory M. Davis links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1986171
2 201557
3 201944
4 202020
5 201215
6 201812
7 201710
8 20229
9 20198
10 20176
11 20234
12 20174
13 20224

About Gregory M. Davis

Gregory M. Davis is a scholar working on Molecular Biology, Aging, Cell Biology, Physiology and Pathology and Forensic Medicine, having authored 13 papers that have together received 364 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), DNA Repair Mechanisms (2 papers), Muscle metabolism and nutrition (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers), Diet and metabolism studies (1 paper), Biomedical Research and Pathophysiology (1 paper) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Aging (23 citations), Cancer Research (52 citations), Pharmacology (29 citations), Physiology (15 citations) and Molecular Biology (220 citations). Gregory M. Davis has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Sten Orrenius, Pia Hartzell, Pierluigi Nicotera, Roger Pocock, Matilda Haas, Peter R. Boag, Kaylene J. Simpson, David C. Page, Ahmet R. Ozturk and Michelle A. Carmell. Their work appears in journals such as FEBS Letters, Nutrients, Developmental Cell, G3 Genes Genomes Genetics and Cell Biology International.

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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