Gil Atzmon

34.4k total citations · 2 hit papers
135 papers, 7.2k citations indexed

About

Gil Atzmon is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Gil Atzmon has authored 135 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 42 papers in Genetics and 41 papers in Aging. Recurrent topics in Gil Atzmon's work include Genetics, Aging, and Longevity in Model Organisms (41 papers), Genetic Associations and Epidemiology (21 papers) and Birth, Development, and Health (17 papers). Gil Atzmon is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (41 papers), Genetic Associations and Epidemiology (21 papers) and Birth, Development, and Health (17 papers). Gil Atzmon collaborates with scholars based in United States, Israel and Netherlands. Gil Atzmon's co-authors include Nir Barzilai, Radhika Muzumdar, Ilan Gabriely, Clyde B. Schechter, Pinchas Cohen, David Hwang, Yousin Suh, Derek M. Huffman, Xiao Man Yang and Francine Einstein and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Gil Atzmon

131 papers receiving 7.0k citations

Hit Papers

Functionally significant insulin-like growth factor I rec... 2008 2026 2014 2020 2008 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gil Atzmon United States 45 2.5k 2.3k 1.6k 1.6k 1.1k 135 7.2k
James F. Nelson United States 45 3.6k 1.4× 4.0k 1.8× 3.8k 2.3× 1.3k 0.8× 899 0.8× 116 12.0k
Paolo Garagnani Italy 42 2.1k 0.8× 3.9k 1.7× 810 0.5× 1.0k 0.6× 242 0.2× 157 8.6k
Marian Beekman Netherlands 39 1.3k 0.5× 1.7k 0.8× 1.1k 0.6× 724 0.5× 533 0.5× 125 4.5k
Morgan E. Levine United States 37 2.5k 1.0× 3.5k 1.5× 1.1k 0.7× 903 0.6× 241 0.2× 82 8.6k
Daniela Mari Italy 44 1.5k 0.6× 2.3k 1.0× 813 0.5× 667 0.4× 267 0.3× 170 6.2k
Brian J. Morris Australia 49 1.2k 0.5× 3.1k 1.4× 423 0.3× 1.0k 0.6× 1.8k 1.7× 280 8.9k
Molly S. Bray United States 50 2.5k 1.0× 2.1k 0.9× 415 0.3× 1.7k 1.1× 699 0.7× 139 8.1k
Yves Le Bouc France 50 2.2k 0.9× 5.0k 2.2× 1.0k 0.6× 3.5k 2.2× 2.9k 2.7× 214 11.9k
Toby Andrew United Kingdom 33 1.5k 0.6× 1.7k 0.7× 431 0.3× 932 0.6× 257 0.2× 75 5.4k
Bastiaan T. Heijmans Netherlands 48 1.4k 0.5× 5.3k 2.3× 567 0.3× 2.3k 1.4× 486 0.5× 125 9.7k

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-authorship network of co-authors of Gil Atzmon

This figure shows the co-authorship network connecting the top 25 collaborators of Gil Atzmon. A scholar is included among the top collaborators of Gil Atzmon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gil Atzmon. Gil Atzmon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sharvit, Lital, et al.. (2023). Can Epigenetics Predict Drug Efficiency in Mental Disorders?. Cells. 12(8). 1173–1173. 3 indexed citations
2.
Lidzbarsky, Gabriel, Sofiya Milman, Tina Gao, et al.. (2020). Similar burden of pathogenic coding variants in exceptionally long‐lived individuals and individuals without exceptional longevity. Aging Cell. 19(10). e13216–e13216. 7 indexed citations
3.
Atzmon, Gil, et al.. (2020). Senescence and Longevity of Sea Urchins. Genes. 11(5). 573–573. 9 indexed citations
4.
Sharvit, Lital, et al.. (2020). Exceptionally Long-Lived Individuals (ELLI) Demonstrate Slower Aging Rate Calculated by DNA Methylation Clocks as Possible Modulators for Healthy Longevity. International Journal of Molecular Sciences. 21(2). 615–615. 18 indexed citations
5.
Atzmon, Gil, et al.. (2020). Pregnancy as a model for aging. Ageing Research Reviews. 62. 101093–101093. 28 indexed citations
6.
Renton, Alan E., Wentian Li, Nir Barzilai, et al.. (2019). Empirical design of a variant quality control pipeline for whole genome sequencing data using replicate discordance. Scientific Reports. 9(1). 16156–16156. 9 indexed citations
7.
Lencz, Todd, Jin Yu, Cameron D. Palmer, et al.. (2018). High-depth whole genome sequencing of an Ashkenazi Jewish reference panel: enhancing sensitivity, accuracy, and imputation. Human Genetics. 137(4). 343–355. 15 indexed citations
8.
Sathyan, Sanish, et al.. (2018). Genetic Insights Into Frailty: Association of 9p21-23 Locus With Frailty. Frontiers in Medicine. 5. 105–105. 17 indexed citations
9.
Ben‐Avraham, Danny, Diddahally R. Govindaraju, Temuri Budagov, et al.. (2017). The GH receptor exon 3 deletion is a marker of male-specific exceptional longevity associated with increased GH sensitivity and taller stature. Science Advances. 3(6). e1602025–e1602025. 46 indexed citations
10.
Raz, Yotam, Ignacio Guerrero‐Ros, Andrea B. Maier, et al.. (2017). Activation-Induced Autophagy Is Preserved in CD4+ T-Cells in Familial Longevity. The Journals of Gerontology Series A. 72(9). 1201–1206. 45 indexed citations
11.
Atzmon, Gil, et al.. (2014). Possible Mechanisms for Telomere Length Maintenance in Extremely Old People. 3(3). 3 indexed citations
12.
Friedman, Eitan, Daniel S. Moran, Danny Ben‐Avraham, Ran Yanovich, & Gil Atzmon. (2014). Novel candidate genes putatively involved in stress fracture predisposition detected by whole-exome sequencing. Genetics Research. 96. e004–e004. 12 indexed citations
13.
Huffman, Derek M., Leonard H. Augenlicht, Xueying Zhang, et al.. (2013). Abdominal Obesity, Independent from Caloric Intake, Accounts for the Development of Intestinal Tumors in Apc1638N/+ Female Mice. Cancer Prevention Research. 6(3). 177–187. 31 indexed citations
14.
Campbell, Christopher, Pier Francesco Palamara, Maya Dubrovsky, et al.. (2012). North African Jewish and non-Jewish populations form distinctive, orthogonal clusters. Proceedings of the National Academy of Sciences. 109(34). 13865–13870. 43 indexed citations
15.
Rajpathak, Swapnil, et al.. (2011). Lifestyle Factors of People with Exceptional Longevity. Journal of the American Geriatrics Society. 59(8). 1509–1512. 89 indexed citations
16.
Thompson, Reid F., Gil Atzmon, Ciprian P. Gheorghe, et al.. (2010). Tissue‐specific dysregulation of DNA methylation in aging. Aging Cell. 9(4). 506–518. 165 indexed citations
17.
Pawlikowska, Ludmila, Donglei Hu, Scott Huntsman, et al.. (2009). Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity. Aging Cell. 8(4). 460–472. 254 indexed citations
18.
Muzumdar, Radhika, Derek M. Huffman, Gil Atzmon, et al.. (2009). Humanin: A Novel Central Regulator of Peripheral Insulin Action. PLoS ONE. 4(7). e6334–e6334. 202 indexed citations
19.
Shlush, Liran I., Gil Atzmon, Roni Weisshof, et al.. (2008). Ashkenazi Jewish Centenarians Do Not Demonstrate Enrichment in Mitochondrial Haplogroup J. PLoS ONE. 3(10). e3425–e3425. 15 indexed citations
20.
Bergman, Aviv, Gil Atzmon, Kenny Ye, Thomas MacCarthy, & Nir Barzilai. (2007). Buffering Mechanisms in Aging: A Systems Approach Toward Uncovering the Genetic Component of Aging. PLoS Computational Biology. 3(8). e170–e170. 88 indexed citations

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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