Eugene Gan
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- RNA modifications and cancer
Papers in
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- Ubiquitin and proteasome pathways 5
- Cell death mechanisms and regulation 3
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Photosynthetic Processes and Mechanisms 2
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- Microtubule and mitosis dynamics 3
- Co-authors
- Sally Kornbluth (7 shared papers)Claire Walczak (2 shared papers)Andrew Wakeham (1 shared paper)Hitoshi Okada (1 shared paper)Toru Sasaki (1 shared paper)Tak W. Mak (1 shared paper)Daniel A. Colón‐Ramos (3 shared papers)Michael R. Olson (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Genes & Development (1 paper)The EMBO Journal (1 paper)Molecular Biology of the Cell (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Eugene Gan
13 papers receiving 576 citations
Peers
Comparison fields: 5 of 61
- Cell Biology 197
- Molecular Biology 464
- Aging 8
- Immunology 87
- Infectious Diseases 49
Countries citing papers authored by Eugene Gan
This map shows the geographic impact of Eugene Gan'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 Eugene Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Gan more than expected).
Fields of papers citing papers by Eugene Gan
This network shows the impact of papers produced by Eugene Gan. 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 Eugene Gan. The network helps show where Eugene Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Gan, 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 | 2007 | 106 | |
| 2 | 2009 | 81 | |
| 3 | 2002 | 69 | |
| 4 | 2003 | 63 | |
| 5 | 2002 | 60 | |
| 6 | 2006 | 59 | |
| 7 | 2003 | 42 | |
| 8 | 2006 | 32 | |
| 9 | 2007 | 26 | |
| 10 | 2010 | 22 | |
| 11 | 1999 | 20 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 |
About Eugene Gan
Eugene Gan is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Infectious Diseases and Surgery, having authored 14 papers that have together received 583 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Cell death mechanisms and regulation (3 papers), Microtubule and mitosis dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cell Biology (197 citations), Molecular Biology (464 citations), Aging (8 citations), Immunology (87 citations) and Infectious Diseases (49 citations). Eugene Gan has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sally Kornbluth, Claire Walczak, Andrew Wakeham, Hitoshi Okada, Toru Sasaki, Tak W. Mak, Daniel A. Colón‐Ramos, Michael R. Olson, Susan L. Kline-Smith and Timothy J. Mitchison. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, The EMBO Journal, Molecular Biology of the Cell and Current 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.