Nam-Sung Moon

977 citations
15 papers · 714 · h-index 9

Impact in

    • Protease and Inhibitor Mechanisms
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • Cell death mechanisms and regulation
    • Cancer-related gene regulation

Papers in

    • Ubiquitin and proteasome pathways 5
    • Genomics and Chromatin Dynamics 3
    • Cell death mechanisms and regulation 3
    • Cancer-related Molecular Pathways 7

Nam-Sung Moon

15 papers receiving 704 citations

Peers

Nam-Sung Moon
Comparison fields: 5 of 83
  • Cancer Research 177
  • Molecular Biology 533
  • Cell Biology 110
  • Oncology 170
  • Aging 10
Replace Tara L. Muratore‐Schroeder with:
Tara L. Muratore‐Schroeder United States
Tsaiping Li China
Pierre‐André Bédard Canada
Laurent Delavaine United Kingdom
Gonzalo R. Ordóñez Spain
Eric Julien France
Christiane Bürger Germany
Simone Weidlich United Kingdom
Ralf Ruediger United States
Junji Itou Japan
Nam-Sung Moon relative to Tara L. Muratore‐Schroeder United States Tara L. Muratore‐Schroeder's profile →
Citations per field
00.5×1.7×
Tara L. Muratore‐Schroeder · 1×
Citations per year

Countries citing papers authored by Nam-Sung Moon

Since Specialization
Citations

This map shows the geographic impact of Nam-Sung Moon'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 Nam-Sung Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nam-Sung Moon more than expected).

Fields of papers citing papers by Nam-Sung Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nam-Sung Moon. 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 Nam-Sung Moon. The network helps show where Nam-Sung Moon may publish in the future.

Co-authors

The 25 scholars most cited alongside Nam-Sung Moon, 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 Nam-Sung Moon Line = papers co-authored together Nam-Sung Moon links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2004299
2 200697
3 200794
4 200855
5 200651
6 201240
7 200133
8 202215
9 20118
10 20206
11 20164
12 20124
13 20203
14 20083
15 20182

About Nam-Sung Moon

Nam-Sung Moon is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Infectious Diseases, having authored 15 papers that have together received 714 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Ubiquitin and proteasome pathways (5 papers), Genomics and Chromatin Dynamics (3 papers), Cell death mechanisms and regulation (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers), interferon and immune responses (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Cancer Research (177 citations), Molecular Biology (533 citations), Cell Biology (110 citations), Oncology (170 citations) and Aging (10 citations). Nam-Sung Moon has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Nicholas J. Dyson, Luisa Di Stefano, Alain Nepveu, Brigitte Goulet, Ann H. Erickson, Amos Baruch, Laurent Sansregret, Madeleine Poirier, Matthew Bogyo and Jun‐Yuan Ji. Their work appears in journals such as PLoS Genetics, Current Biology, Journal of Cell Science, Genetics and Journal of Biological Chemistry.

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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