Ethan Perlstein
Impact in
- Aging top 10%
- Physiology top 5%
Papers in
-
- 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 2
- Genetics 7
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Stuart L. Schreiber (11 shared papers)Sovan Sarkar (2 shared papers)David C. Rubinsztein (2 shared papers)B Bernstein (1 shared paper)Chih Long Liu (1 shared paper)Christopher S. Neumann (1 shared paper)Satoshi Nagayama (1 shared paper)Michael M.‐C. Lo (1 shared paper)
- Journals
- G3 Genes Genomes Genetics (2 papers)Nature Chemical Biology (2 papers)Disease Models & Mechanisms (2 papers)PLoS ONE (2 papers)Journal of Molecular Evolution (2 papers)
- Partner nations
- United StatesHungaryCanada
In The Last Decade
Ethan Perlstein
28 papers receiving 1.7k citations
Ethan Perlstein's Hit Papers
Peers
Comparison fields: 5 of 99
- Aging 36
- Physiology 90
- Molecular Biology 1.0k
- Epidemiology 447
- Cell Biology 192
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-authors
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Small molecules enhance autophagy and reduce toxicity in Huntington's disease models Hit paper breakdown → | 2007 | 503 |
| 2 | 2004 | 298 | |
| 3 | 2004 | 252 | |
| 4 | 2007 | 143 | |
| 5 | 2007 | 104 | |
| 6 | 2006 | 78 | |
| 7 | 2010 | 49 | |
| 8 | 2019 | 48 | |
| 9 | 2009 | 41 | |
| 10 | 2006 | 33 | |
| 11 | 2012 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2018 | 25 | |
| 14 | 1998 | 24 | |
| 15 | 2019 | 21 | |
| 16 | 2009 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2007 | 13 | |
| 20 | 2022 | 13 |
About Ethan Perlstein
Ethan Perlstein is a scholar working on Molecular Biology, Genetics, Physiology, Organic Chemistry and Cell Biology, having authored 31 papers that have together received 1.8k 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 (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (36 citations), Physiology (90 citations), Molecular Biology (1.0k citations), Epidemiology (447 citations) and Cell Biology (192 citations). Ethan Perlstein has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Stuart L. Schreiber, Sovan Sarkar, David C. Rubinsztein, B Bernstein, Chih Long Liu, Christopher S. Neumann, Satoshi Nagayama, Michael M.‐C. Lo, John Webster and Rebecca L. Maglathlin. Their work appears in journals such as G3 Genes Genomes Genetics, Nature Chemical Biology, Disease Models & Mechanisms, PLoS ONE and Journal of Molecular Evolution.
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.