Ethan Perlstein
- Aging top 10%
- Physiology top 5%
- Lysosomal Storage Disorders Research 5
- Molecular Biology top 10%
- Fungal and yeast genetics research 7
- Glycosylation and Glycoproteins Research 5
- Bioinformatics and Genomic Networks 5
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 3
- Epidemiology top 10%
- Cell Biology top 10%
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- Genetic Mapping and Diversity in Plants and Animals 3
- Genomics and Rare Diseases 2
- Co-authors
- Stuart L. SchreiberDavid C. RubinszteinSovan SarkarChih Long LiuB BernsteinSatoshi NagayamaChristopher S. NeumannMichael M.‐C. Lo
- Cited by
- AgingPhysiologyMolecular Biology
- Journals
- Disease Models & Mechanisms (2 papers)Journal of Molecular Evolution (2 papers)Nature Chemical Biology (2 papers)
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
Ethan Perlstein
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Aging 34
- Physiology 88
- Molecular Biology 992
- Epidemiology 439
- Cell Biology 197
Countries citing papers authored by Ethan Perlstein
This map shows the geographic impact of Ethan Perlstein'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 Perlstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Perlstein more than expected).
Fields of papers citing papers by Ethan Perlstein
This network shows the impact of papers produced by Ethan Perlstein. 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 Perlstein. The network helps show where Ethan Perlstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ethan Perlstein, 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 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 24 | |
| 4 | 2022 | 12 | |
| 5 | 2019 | 44 | |
| 6 | 2018 | 12 | |
| 7 | 2018 | 23 | |
| 8 | 2018 | 6 | |
| 9 | 2013 | 13 | |
| 10 | 2012 | 28 | |
| 11 | 2009 | 12 | |
| 12 | 2009 | 13 | |
| 13 | 2007 | 98 | |
| 14 | 2007 | 137 | |
| 15 | 2007 | 474 | |
| 16 | 2007 | 12 | |
| 17 | 2006 | 77 | |
| 18 | 2006 | 31 | |
| 19 | 2004 | 288 | |
| 20 | 1998 | 23 |
About Ethan Perlstein
Ethan Perlstein is a scholar working on Molecular Biology, Genetics, Physiology, Cell Biology and Endocrine and Autonomic Systems, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), Glycosylation and Glycoproteins Research (5 papers), Bioinformatics and Genomic Networks (5 papers), Lysosomal Storage Disorders Research (5 papers), Genomics and Phylogenetic Studies (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Gene expression and cancer classification (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Aging (34 citations), Physiology (88 citations), Molecular Biology (992 citations), Epidemiology (439 citations) and Cell Biology (197 citations). Ethan Perlstein has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Stuart L. Schreiber, David C. Rubinsztein, Sovan Sarkar, Chih Long Liu, B Bernstein, Satoshi Nagayama, Christopher S. Neumann, Michael M.‐C. Lo, Sara Imarisio and John Webster. Their work appears in journals such as Disease Models & Mechanisms, Journal of Molecular Evolution, Nature Chemical Biology, PLoS ONE and G3 Genes Genomes Genetics.
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.