Ed Seto
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Molecular Biology top 5%
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
Papers in
-
- Histone Deacetylase Inhibitors Research 5
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Protein Tyrosine Phosphatases 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Minoru Yoshida (1 shared paper)Lihong Chen (1 shared paper)Frank J. Rauscher (1 shared paper)Chuangui Wang (1 shared paper)Alexey V. Ivanov (1 shared paper)Jiandong Chen (1 shared paper)William J. Fredericks (1 shared paper)Ildikó Győry (1 shared paper)
- Journals
- Cancer Research (2 papers)DNA and Cell Biology (1 paper)The Journal of Immunology (1 paper)Journal of Leukocyte Biology (1 paper)Cold Spring Harbor Perspectives in Biology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ed Seto
9 papers receiving 2.0k citations
Ed Seto's Hit Papers
Peers
Comparison fields: 5 of 103
- Geriatrics and Gerontology 116
- Molecular Biology 1.6k
- Oncology 347
- Physiology 54
- Immunology 220
Countries citing papers authored by Ed Seto
This map shows the geographic impact of Ed Seto'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 Ed Seto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed Seto more than expected).
Fields of papers citing papers by Ed Seto
This network shows the impact of papers produced by Ed Seto. 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 Ed Seto. The network helps show where Ed Seto may publish in the future.
Co-authors
The 25 scholars most cited alongside Ed Seto, 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 | Erasers of Histone Acetylation: The Histone Deacetylase Enzymes Hit paper breakdown → | 2014 | 1599 |
| 2 | 2005 | 209 | |
| 3 | 2003 | 108 | |
| 4 | 2017 | 51 | |
| 5 | 2006 | 50 | |
| 6 | 2006 | 16 | |
| 7 | 2015 | 10 | |
| 8 | 2014 | 1 | |
| 9 | 2016 | 1 |
About Ed Seto
Ed Seto is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (5 papers), Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related Molecular Pathways (2 papers), Galectins and Cancer Biology (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Geriatrics and Gerontology (116 citations), Molecular Biology (1.6k citations), Oncology (347 citations), Physiology (54 citations) and Immunology (220 citations). Ed Seto has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Minoru Yoshida, Lihong Chen, Frank J. Rauscher, Chuangui Wang, Alexey V. Ivanov, Jiandong Chen, William J. Fredericks, Ildikó Győry, Kenneth L. Wright and Nilanjan Ghosh. Their work appears in journals such as Cancer Research, DNA and Cell Biology, The Journal of Immunology, Journal of Leukocyte Biology and Cold Spring Harbor Perspectives in Biology.
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.