Sora Yoon
Impact in
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- Cancer-related molecular mechanisms research
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- Heat shock proteins research
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Glycosylation and Glycoproteins Research
- Gene expression and cancer classification
- RNA modifications and cancer
- Mitochondrial Function and Pathology
Papers in
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- Bioinformatics and Genomic Networks 6
- Gene expression and cancer classification 6
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 4
- Peroxisome Proliferator-Activated Receptors 3
- Single-cell and spatial transcriptomics 2
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- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Co-authors
- Dougu Nam (20 shared papers)Taesung Park (2 shared papers)Aditi Chandra (4 shared papers)Golnaz Vahedi (5 shared papers)Young Chan Chae (3 shared papers)Jinhwan Kim (4 shared papers)Pann‐Ghill Suh (3 shared papers)Ji‐Eun Lee (1 shared paper)
- Journals
- BMC Genomics (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)Cells (2 papers)Experimental & Molecular Medicine (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sora Yoon
28 papers receiving 593 citations
Peers
Comparison fields: 5 of 113
- Cancer Research 99
- Molecular Biology 429
- Aging 10
- Immunology 120
- Cell Biology 38
Countries citing papers authored by Sora Yoon
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
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.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 86 | |
| 2 | 2021 | 52 | |
| 3 | 2019 | 52 | |
| 4 | 2018 | 49 | |
| 5 | 2022 | 40 | |
| 6 | 2017 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2020 | 27 | |
| 9 | 2022 | 27 | |
| 10 | 2014 | 24 | |
| 11 | 2023 | 22 | |
| 12 | 2023 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2020 | 12 | |
| 20 | 2019 | 12 |
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 597 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Single-cell and spatial transcriptomics (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (99 citations), Molecular Biology (429 citations), Aging (10 citations), Immunology (120 citations) and Cell Biology (38 citations). Sora Yoon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dougu Nam, Taesung Park, Aditi Chandra, Golnaz Vahedi, Young Chan Chae, Jinhwan Kim, Pann‐Ghill Suh, Ji‐Eun Lee, Byoung Heon Kang and Jong Bae Park. Their work appears in journals such as BMC Genomics, Scientific Reports, Nature Communications, Cells and Experimental & Molecular Medicine.
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.