Ethan A. Sarnoski

1.5k total citations · 1 hit paper
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), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (3 papers). Ethan A. Sarnoski is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (3 papers). Ethan A. Sarnoski collaborates with scholars based in United States, United Kingdom and Germany. Ethan A. Sarnoski's co-authors include Judith Campisi, Michael C. Velarde, Sonnet S. Davis, Kotaro Shirakawa, Su Liu, Adam Freund, Arvind Ramanathan, Christopher D. Wiley, Pacôme Lecot 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

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mitochondrial Dysfunction Induces Senescence with a Distinct Secretory Phenotype

2015 901 citations Christopher D. Wiley, Michael C. Velarde et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ethan A. Sarnoski United States	6	535	500	227	157	136	7	1.1k
Pacôme Lecot France	4	545 1.0×	518 1.0×	329 1.4×	158 1.0×	99 0.7×	4	1.2k
Martina Gluscevic United States	6	437 0.8×	536 1.1×	213 0.9×	104 0.7×	99 0.7×	11	1.1k
Timothy Nacarelli United States	19	423 0.8×	917 1.8×	260 1.1×	226 1.4×	123 0.9×	25	1.6k
Anthony B. Lagnado United States	11	418 0.8×	376 0.8×	206 0.9×	114 0.7×	102 0.8×	13	872
Jessie C. Jeyapalan United States	9	707 1.3×	580 1.2×	156 0.7×	79 0.5×	242 1.8×	10	1.1k
Francesca Rossiello Italy	11	953 1.8×	884 1.8×	225 1.0×	100 0.6×	296 2.2×	16	1.6k
James Wordsworth United Kingdom	4	451 0.8×	298 0.6×	209 0.9×	70 0.4×	98 0.7×	8	773
Stéphanie Decary France	10	1.0k 1.9×	1.1k 2.1×	235 1.0×	135 0.9×	253 1.9×	12	1.8k
Tristan V. de Jong Netherlands	9	415 0.8×	561 1.1×	183 0.8×	61 0.4×	101 0.7×	10	1.0k
Peter L.J. de Keizer Netherlands	15	285 0.5×	719 1.4×	173 0.8×	80 0.5×	167 1.2×	24	1.1k

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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7 of 7 papers shown

1.

Liu, Ping, et al.. (2020). Characterization of the impact of GMP/GDP synthesis inhibition on replicative lifespan extension in yeast. Current Genetics. 66(4). 813–822. 3 indexed citations

2.

Sarnoski, Ethan A., et al.. (2018). Fundamental Characteristics of Single-Cell Aging in Diploid Yeast. iScience. 7. 96–109. 27 indexed citations

3.

Song, Ruijie, Ethan A. Sarnoski, & Murat Açar. (2018). The Systems Biology of Single-Cell Aging. iScience. 7. 154–169. 23 indexed citations

4.

Sarnoski, Ethan A., Ping Liu, & Murat Açar. (2017). A High-Throughput Screen for Yeast Replicative Lifespan Identifies Lifespan-Extending Compounds. Cell Reports. 21(9). 2639–2646. 19 indexed citations

5.

Sarnoski, Ethan A., et al.. (2016). Biomarkers to identify and isolate senescent cells. Ageing Research Reviews. 29. 1–12. 114 indexed citations

6.

Wiley, Christopher D., Michael C. Velarde, Pacôme Lecot, et al.. (2015). Mitochondrial Dysfunction Induces Senescence with a Distinct Secretory Phenotype. Cell Metabolism. 23(2). 303–314. 901 indexed citations breakdown →

7.

Sarnoski, Ethan A., et al.. (2014). Antibiotic-dependent expression of early transcription factor subunits leads to stringent control of vaccinia virus replication. Virus Research. 181. 43–52. 10 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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