Gil Atzmon
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
- Aging 41
- Genetics, Aging, and Longevity in Model Organisms 41
- Co-authors
- Nir BarzilaiIlan GabrielyRadhika MuzumdarClyde B. SchechterPinchas CohenDavid HwangYousin SuhDerek M. Huffman
- Journals
- Aging Cell (10 papers)The Journals of Gerontology Series A (9 papers)Diabetes (5 papers)Mechanisms of Ageing and Development (5 papers)International Journal of Molecular Sciences (5 papers)
- Partner nations
- United StatesIsraelNetherlands
In The Last Decade
Gil Atzmon
131 papers receiving 7.0k citations
Hit Papers
Peers
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
Countries citing papers authored by Gil Atzmon
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 15 | |
| 10 | 2017 | 46 | |
| 11 | 2017 | 45 | |
| 12 | 2016 | 32 | |
| 13 | 2015 | 24 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 11 | |
| 16 | 2013 | 31 | |
| 17 | 2013 | 18 | |
| 18 | 2012 | 43 | |
| 19 | 2011 | 24 | |
| 20 | 2010 | 165 |
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.