Ethan A. Sarnoski

9 total papers · 1.5k total citations
7 papers, 1.1k citations indexed

About

Ethan A. Sarnoski is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, Ethan A. Sarnoski has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Aging and 2 papers in Physiology. Recurrent topics in Ethan A. Sarnoski's work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Gene Regulatory Network Analysis (3 papers) and Single-cell and spatial transcriptomics (3 papers). Ethan A. Sarnoski is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), Gene Regulatory Network Analysis (3 papers) and Single-cell and spatial transcriptomics (3 papers). Ethan A. Sarnoski collaborates with scholars based in United States, Germany and United Kingdom. Ethan A. Sarnoski's co-authors include Akos A. Gerencser, Su Liu, Michael C. Velarde, Hyung W. Lim, Judith Campisi, Sonnet S. Davis, Kotaro Shirakawa, Christopher D. Wiley, Arvind Ramanathan and Eric Verdin and has published in prestigious journals such as Cell Metabolism, Cell Reports and Ageing Research Reviews.

In The Last Decade

Ethan A. Sarnoski

7 papers receiving 1.1k citations

Hit Papers

Mitochondrial Dysfunction... 2015 2026 2018 2022 2015 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ethan A. Sarnoski 528 496 225 156 135 7 1.1k
Pacôme Lecot 536 1.0× 512 1.0× 324 1.4× 156 1.0× 99 0.7× 4 1.2k
Martina Gluscevic 425 0.8× 531 1.1× 211 0.9× 103 0.7× 96 0.7× 11 1.1k
Rhys Anderson 816 1.5× 567 1.1× 263 1.2× 104 0.7× 250 1.9× 6 1.3k
Sharon Olijslagers 536 1.0× 570 1.1× 174 0.8× 117 0.8× 152 1.1× 9 1.1k
Domhnall McHugh 462 0.9× 477 1.0× 174 0.8× 88 0.6× 134 1.0× 7 1.0k
Chisaka Kuehnemann 787 1.5× 683 1.4× 317 1.4× 132 0.8× 183 1.4× 10 1.4k
Jean-Philippe Coppé 556 1.1× 584 1.2× 238 1.1× 96 0.6× 112 0.8× 7 1.1k
Anja Holtz 488 0.9× 485 1.0× 219 1.0× 97 0.6× 96 0.7× 17 1.0k
Katerina I. Leonova 436 0.8× 663 1.3× 377 1.7× 109 0.7× 134 1.0× 12 1.2k
Karina Balan 374 0.7× 511 1.0× 228 1.0× 102 0.7× 99 0.7× 8 1.0k

Countries citing papers authored by Ethan A. Sarnoski

Since Specialization
Citations

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

Fields of papers citing papers by Ethan A. Sarnoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ethan A. Sarnoski. 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 Ethan A. Sarnoski. The network helps show where Ethan A. Sarnoski may publish in the future.

Co-authorship network of co-authors of Ethan A. Sarnoski

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan A. Sarnoski. A scholar is included among the top collaborators of Ethan A. Sarnoski 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 Ethan A. Sarnoski. Ethan A. Sarnoski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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