David Gershon

2.7k citations
48 papers · 2.1k · h-index 24

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Biochemical effects in animals
    • Telomeres, Telomerase, and Senescence

Papers in

David Gershon

47 papers receiving 2.0k citations

Peers

David Gershon
Comparison fields: 5 of 127
  • Aging 385
  • Physiology 503
  • Molecular Biology 1.3k
  • Clinical Biochemistry 110
  • Cell Biology 235
Replace Maria Markaki with:
Maria Markaki Greece
Jennifer Altomonte Germany
André-Patrick Arrigo France
Nathan Basisty United States
Michio Tsuda Japan
Sandy D. Westerheide United States
Carole Kretz‐Remy France
Yoko Honda Japan
Mi‐Ae Yoo South Korea
Georges Stepien France
David Gershon relative to Maria Markaki Greece Maria Markaki's profile →
Citations per field
00.5×1.7×
Maria Markaki · 1×
Citations per year

Countries citing papers authored by David Gershon

Since Specialization
Citations

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

Fields of papers citing papers by David Gershon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006276
2 1970177
3 1976147
4 1976139
5 1966110
6 1973110
7 199997
8 200089
9 197973
10 196763
11 197358
12 198157
13 197952
14 200950
15 197745
16 198143
17 200441
18 200636
19 200232
20 198430

About David Gershon

David Gershon is a scholar working on Molecular Biology, Physiology, Aging, Cell Biology and Oncology, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Adipose Tissue and Metabolism (7 papers), Amino Acid Enzymes and Metabolism (5 papers), Muscle metabolism and nutrition (4 papers), Polyomavirus and related diseases (4 papers), Muscle Physiology and Disorders (4 papers), Exercise and Physiological Responses (4 papers) and Heat shock proteins research (4 papers). The work is most often cited by research in Aging (385 citations), Physiology (503 citations), Molecular Biology (1.3k citations), Clinical Biochemistry (110 citations) and Cell Biology (235 citations). David Gershon has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Harriet Gershon, Uzi Reiss, Abraham Z. Reznick, Ilya Shamovsky, Leo Sachs, Eugene Kandel, Evgeny Nudler, Maxim V. Ivannikov, Ernest Winocour and David Yaffe. Their work appears in journals such as Mechanisms of Ageing and Development, Nature, Gerontology, Virology and FEBS Letters.

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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