Eugene Gan

723 citations
14 papers · 604 · h-index 11

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cell death mechanisms and regulation
    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics
    • Mitochondrial Function and Pathology
    • RNA and protein synthesis mechanisms
    • Photosynthetic Processes and Mechanisms

Papers in

    • Ubiquitin and proteasome pathways 5
    • Cell death mechanisms and regulation 3
    • Photosynthetic Processes and Mechanisms 2
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • Microtubule and mitosis dynamics 3

Eugene Gan

13 papers receiving 596 citations

Peers

Eugene Gan
Comparison fields: 5 of 58
  • Cell Biology 200
  • Molecular Biology 458
  • Aging 9
  • Immunology 87
  • Infectious Diseases 48
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Eugene Gan relative to Patrick J. DiMario United States Patrick J. DiMario's profile →
Citations per field
00.5×3.2×
Patrick J. DiMario · 1×
Citations per year

Countries citing papers authored by Eugene Gan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eugene Gan Line = papers co-authored together Eugene Gan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2007109
2 200985
3 200268
4 200365
5 200264
6 200660
7 200344
8 200632
9 200727
10 201026
11 199921
12 20232
13 20231
14 20240

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 604 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Microtubule and mitosis dynamics (3 papers), Cell death mechanisms and regulation (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cell Biology (200 citations), Molecular Biology (458 citations), Aging (9 citations), Immunology (87 citations) and Infectious Diseases (48 citations). Eugene Gan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sally Kornbluth, Claire Walczak, Toru Sasaki, Tak W. Mak, Andrew Wakeham, Hitoshi Okada, Michael R. Olson, Daniel A. Colón‐Ramos, Susan L. Kline-Smith and Arshad Desai. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Hand, Current Biology and CHEST Journal.

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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