Yo Sup Moon

1.1k total citations · 1 hit paper
5 papers, 732 citations indexed

About

Yo Sup Moon is a scholar working on Molecular Biology, Ecology and Cell Biology. According to data from OpenAlex, Yo Sup Moon has authored 5 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Cell Biology. Recurrent topics in Yo Sup Moon's work include Gene expression and cancer classification (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). Yo Sup Moon is often cited by papers focused on Gene expression and cancer classification (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). Yo Sup Moon collaborates with scholars based in United States, Austria and United Kingdom. Yo Sup Moon's co-authors include Tibor Antal, Johannes G. Reiter, Martin A. Nowak, Evan J. Lipson, Benjamin Allen, Krishnendu Chatterjee, Paul B. Chapman, Dung T. Le, Bert Vogelstein and Nicole Kelly and has published in prestigious journals such as Bioinformatics, Science Translational Medicine and eLife.

In The Last Decade

Yo Sup Moon

5 papers receiving 723 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evolutionary dynamics of cancer in response to targeted combination therapy

2013 433 citations Ivana Božić, Johannes G. Reiter et al. eLife profile →

Peers

Yo Sup Moon

MB

BE

CR

ONCOL

CB

Orit Lavi United States

Antje‐Christine Walz Switzerland

Yafei Wang China

С. В. Вторушин Russia

Steven N. Steinway United States

Erin L. Sausville United States

Irina Kareva United States

Mohamed Hassanein United States

Satwik Rajaram United States

Jennifer M. Rosenbluth United States

Orit Lavi United States

Yo Sup Moon

314 ×1.0

MB

58 ×0.3

BE

147 ×0.8

CR

207 ×1.3

ONCOL

66 ×0.5

CB

Citations per year, relative to Yo Sup Moon Yo Sup Moon (= 1×) peers Orit Lavi

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-authorship network of co-authors of Yo Sup Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Yo Sup Moon. A scholar is included among the top collaborators of Yo Sup Moon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yo Sup Moon. Yo Sup Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Ghazi, Andrew R., Ali Rahnavard, Eric A. Franzosa, et al.. (2022). High-sensitivity pattern discovery in large, paired multiomic datasets. Bioinformatics. 38(Supplement_1). i378–i385. 35 indexed citations

2.

Ma, Siyuan, Boyu Ren, Himel Mallick, et al.. (2021). A statistical model for describing and simulating microbial community profiles. PLoS Computational Biology. 17(9). e1008913–e1008913. 40 indexed citations

3.

Börnigen, Daniela, Yo Sup Moon, Ali Rahnavard, et al.. (2015). A reproducible approach to high-throughput biological data acquisition and integration. PeerJ. 3. e791–e791. 10 indexed citations

4.

Božić, Ivana, Johannes G. Reiter, Benjamin Allen, et al.. (2013). Evolutionary dynamics of cancer in response to targeted combination therapy. eLife. 2. e00747–e00747. 433 indexed citations breakdown →

5.

Tse, Henry T. K., Daniel R. Gossett, Yo Sup Moon, et al.. (2013). Quantitative Diagnosis of Malignant Pleural Effusions by Single-Cell Mechanophenotyping. Science Translational Medicine. 5(212). 212ra163–212ra163. 214 indexed citations

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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