Gil Atzmon

34.4k citations
135 papers · 7.2k indexed · 2 hit papers · h-index 45

Impact in

  • Aging top 0.05%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 0.5%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Nutrition and Health in Aging

Papers in

Gil Atzmon

131 papers receiving 7.0k citations

Hit Papers

Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis 2018 · 305 citations
3052008202620142020100200300400500

Peers

Gil Atzmon
Comparison fields: 5 of 158
  • Aging 1.6k
  • Physiology 2.5k
  • Neuropsychology and Physiological Psychology 108
  • Endocrine and Autonomic Systems 481
  • Endocrinology, Diabetes and Metabolism 1.1k
Replace Paolo Garagnani with:
Paolo Garagnani Italy
James F. Nelson United States
Morgan E. Levine United States
Marian Beekman Netherlands
Daniela Mari Italy
Abraham Aviv United States
Bradley J. Willcox United States
Mark A. Lane United States
Giovanna De Benedictis Italy
John Grove United States
Gil Atzmon relative to Paolo Garagnani Italy Paolo Garagnani's profile →
Citations per field
00.5×4.4×
Paolo Garagnani · 1×
Citations per year

Countries citing papers authored by Gil Atzmon

Since Specialization
Citations

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

Fields of papers citing papers by Gil Atzmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20230
3 20233
4 20232
5 20232
6 20209
7 20207
8 202018
9 201815
10 201746
11 201745
12 201632
13 201524
14 20143
15 201411
16 201331
17 201318
18 201243
19 201124
20 2010165

About Gil Atzmon

Gil Atzmon is a scholar working on Aging, Neuropsychology and Physiological Psychology, Physiology, Genetics and Endocrine and Autonomic Systems, having authored 135 papers that have together received 7.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (41 papers), Genetic Associations and Epidemiology (21 papers), Birth, Development, and Health (17 papers), Epigenetics and DNA Methylation (12 papers), Adipose Tissue and Metabolism (11 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Bioinformatics and Genomic Networks (9 papers) and Regulation of Appetite and Obesity (9 papers). The work is most often cited by research in Aging (1.6k citations), Physiology (2.5k citations), Neuropsychology and Physiological Psychology (108 citations), Endocrine and Autonomic Systems (481 citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Gil Atzmon has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Nir Barzilai, Ilan Gabriely, Radhika Muzumdar, Clyde B. Schechter, Pinchas Cohen, David Hwang, Yousin Suh, Derek M. Huffman, Xiao Man Yang and Marielisa Rincon. Their work appears in journals such as Aging Cell, The Journals of Gerontology Series A, Diabetes, Mechanisms of Ageing and Development and International Journal of Molecular Sciences.

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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