Sora Yoon

1.2k citations
28 papers · 638 · h-index 16

Impact in

Papers in

    • Bioinformatics and Genomic Networks 5
    • Gene expression and cancer classification 3
    • Peroxisome Proliferator-Activated Receptors 3
    • Genomics and Chromatin Dynamics 3
    • RNA modifications and cancer 3
    • Glycosylation and Glycoproteins Research 2

Sora Yoon

28 papers receiving 634 citations

Peers

Sora Yoon
Comparison fields: 5 of 107
  • Cancer Research 87
  • Aging 11
  • Molecular Biology 413
  • Immunology 115
  • Cell Biology 40
Replace Olga Kel‐Margoulis with:
Olga Kel‐Margoulis Germany
Kevin Patel United States
Sally Shpungin Israel
Emily Hsu United States
Paola Cavaliere United States
Lisa Maria Mustachio United States
Zhicheng Pan China
Pavla Vašicová Czechia
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Xinyuan Liu China
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Citations per field
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Olga Kel‐Margoulis · 1×
Citations per year

Countries citing papers authored by Sora Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sora Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sora Yoon. 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 Sora Yoon. The network helps show where Sora Yoon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 202155
3 201954
4 201852
5 202242
6 202231
7 201731
8 201829
9 202028
10 202326
11 201424
12 202219
13 202319
14 202218
15 201916
16 201716
17 201615
18 202014
19 202013
20 201912

About Sora Yoon

Sora Yoon is a scholar working on Molecular Biology, Cancer Research, Immunology, Genetics and Surgery, having authored 28 papers that have together received 638 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), T-cell and B-cell Immunology (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Cancer Research (87 citations), Aging (11 citations), Molecular Biology (413 citations), Immunology (115 citations) and Cell Biology (40 citations). Sora Yoon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dougu Nam, Golnaz Vahedi, Taesung Park, Aditi Chandra, Young Chan Chae, Jinhwan Kim, Pann‐Ghill Suh, Byoung Heon Kang, S Hu and Seon‐Young Kim. Their work appears in journals such as BMC Genomics, Nature Communications, PLoS ONE, Nucleic Acids Research and Cells.

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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