Gary J. He

746 citations
8 papers · 340 · h-index 5

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Mesenchymal stem cell research

Papers in

    • Muscle Physiology and Disorders 4
    • Single-cell and spatial transcriptomics 3
    • Extracellular vesicles in disease 3
    • Peroxisome Proliferator-Activated Receptors 1
    • Mitochondrial Function and Pathology 1

Gary J. He

8 papers receiving 331 citations

Peers

Gary J. He
Comparison fields: 5 of 83
  • Aging 19
  • Genetics 48
  • Rehabilitation 27
  • Physiology 97
  • Molecular Biology 224
Replace Pauline Joy F. Santos with:
Pauline Joy F. Santos United States
Xiaoti Xu United States
Delia Nardinocchi Italy
Katherine Campbell United States
Pin Ha United States
Kumaran Chandrasekharan United States
Sherry Dadgar United States
Sandra Benson United States
Joel Marh United States
Naoaki Mizuno Japan
Gary J. He relative to Pauline Joy F. Santos United States Pauline Joy F. Santos's profile →
Citations per field
00.5×1.7×
Pauline Joy F. Santos · 1×
Citations per year

Countries citing papers authored by Gary J. He

Since Specialization
Citations

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

Fields of papers citing papers by Gary J. He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary J. He. 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 Gary J. He. The network helps show where Gary J. He may publish in the future.

Co-authors

The 17 scholars most cited alongside Gary J. He, 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 Gary J. He Line = papers co-authored together Gary J. He links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2019268
2 199929
3
Influenza--United States, 1989-90 and 1990-91 seasons.
199218
4 202111
5 20138
6 20232
7 20242
8 20182

About Gary J. He

Gary J. He is a scholar working on Molecular Biology, Physiology, Infectious Diseases, Communication and Genetics, having authored 8 papers that have together received 340 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Single-cell and spatial transcriptomics (3 papers), Extracellular vesicles in disease (3 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Obesity, Physical Activity, Diet (1 paper), Computational and Text Analysis Methods (1 paper), Mitochondrial Function and Pathology (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Aging (19 citations), Genetics (48 citations), Rehabilitation (27 citations), Physiology (97 citations) and Molecular Biology (224 citations). Gary J. He has collaborated with scholars based in Hong Kong, France and China. Frequent co-authors include Tom H. Cheung, Lorenzo Giordani, Justin Law, Aurélien Corneau, Fabien Le Grand, Hiroshi Sakai, Elisa Négroni, Shahragim Tajbakhsh, Raymond Wan and Jinjoo Lee. Their work appears in journals such as Molecular Cell, Journal of Information Technology & Politics, Current topics in developmental biology, PLoS Genetics and Methods in molecular biology.

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.

Explore authors with similar magnitude of impact