Yo Sup Moon

1.1k citations
5 papers · 760 · 1 hit paper · h-index 5

Impact in

Papers in

    • Gene expression and cancer classification 2
    • Metabolomics and Mass Spectrometry Studies 1
    • Melanoma and MAPK Pathways 1
    • Microbial Community Ecology and Physiology 1

Yo Sup Moon

5 papers receiving 751 citations

Yo Sup Moon's Hit Papers

Evolutionary dynamics of cancer in response to targeted combination therapy 2013 · 448 citations
4480+4+8Years since publication100200300400

Peers

Yo Sup Moon
Comparison fields: 5 of 101
  • Modeling and Simulation 90
  • Cancer Research 169
  • Cell Biology 129
  • Biophysics 39
  • Oncology 149
Replace Yafei Wang with:
Yafei Wang China
Antje‐Christine Walz Switzerland
С. В. Вторушин Russia
Alakesh Das India
Robert J. Steininger United States
Anne Margriet Heijink Netherlands
Mohamed Hassanein United States
Srimeenakshi Srinivasan United States
Satwik Rajaram United States
Pau Creixell Denmark
Yo Sup Moon relative to Yafei Wang China Yafei Wang's profile →
Citations per field
00.5×11.7×
Yafei Wang · 1×
Citations per year

Countries citing papers authored by Yo Sup Moon

Since Specialization
Citations

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

Fields of papers citing papers by Yo Sup Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yo Sup 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 Yo Sup Moon. The network helps show where Yo Sup Moon may publish in the future.

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Evolutionary dynamics of cancer in response to targeted combination therapy
Hit paper breakdown →
2013448
2 2013221
3 202141
4 202240
5 201510

About Yo Sup Moon

Yo Sup Moon is a scholar working on Molecular Biology, Ecology, Cell Biology, Immunology and Modeling and Simulation, having authored 5 papers that have together received 760 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Mathematical Biology Tumor Growth (1 paper), Melanoma and MAPK Pathways (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Microbial Community Ecology and Physiology (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Modeling and Simulation (90 citations), Cancer Research (169 citations), Cell Biology (129 citations), Biophysics (39 citations) and Oncology (149 citations). Yo Sup Moon has collaborated with scholars based in United States, Austria and New Zealand. Frequent co-authors include Tibor Antal, Bert Vogelstein, Preya Shah, Paul B. Chapman, Benjamin Allen, Dung T. Le, Amin Yaqubie, Ivana Božić, Martin A. Nowak and Evan J. Lipson. Their work appears in journals such as Bioinformatics, eLife, PLoS Computational Biology, Science Translational Medicine and PeerJ.

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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