Won Suk Yang
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- Ubiquitin and proteasome pathways
Papers in
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- Bacterial Identification and Susceptibility Testing 3
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Cheolju Lee (4 shared papers)Sung‐Hoon Kim (5 shared papers)Je‐Hyun Baek (10 shared papers)Dae Gyu Kim (2 shared papers)Soo‐Youn Lee (1 shared paper)Eui‐Ju Choi (1 shared paper)Hee Sung Kim (1 shared paper)Myeong‐Hee Yu (2 shared papers)
- Journals
- Journal of Proteome Research (3 papers)Journal of Clinical Microbiology (2 papers)Molecular & Cellular Proteomics (2 papers)Scientific Reports (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (2 papers)
- Partner nations
- South KoreaSwitzerlandPuerto Rico
In The Last Decade
Won Suk Yang
22 papers receiving 607 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 438
- Clinical Biochemistry 33
- Cancer Research 63
- Aging 6
- Spectroscopy 52
Countries citing papers authored by Won Suk Yang
This map shows the geographic impact of Won Suk Yang'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 Won Suk Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Suk Yang more than expected).
Fields of papers citing papers by Won Suk Yang
This network shows the impact of papers produced by Won Suk Yang. 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 Won Suk Yang. The network helps show where Won Suk Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Suk Yang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 87 | |
| 2 | 2019 | 86 | |
| 3 | 2014 | 80 | |
| 4 | 2013 | 60 | |
| 5 | 2019 | 56 | |
| 6 | 2011 | 49 | |
| 7 | 2019 | 42 | |
| 8 | 2017 | 42 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 23 | |
| 11 | 2009 | 17 | |
| 12 | 2010 | 14 | |
| 13 | 2020 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 3 | |
| 17 | 2008 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 2 |
About Won Suk Yang
Won Suk Yang is a scholar working on Clinical Biochemistry, Spectroscopy, Molecular Biology, Cancer Research and Cell Biology, having authored 24 papers that have together received 623 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Protease and Inhibitor Mechanisms (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (438 citations), Clinical Biochemistry (33 citations), Cancer Research (63 citations), Aging (6 citations) and Spectroscopy (52 citations). Won Suk Yang has collaborated with scholars based in South Korea, Switzerland and Puerto Rico. Frequent co-authors include Cheolju Lee, Sung‐Hoon Kim, Je‐Hyun Baek, Dae Gyu Kim, Soo‐Youn Lee, Eui‐Ju Choi, Hee Sung Kim, Myeong‐Hee Yu, Hyun Joo An and Jung‐Mo Ahn. Their work appears in journals such as Journal of Proteome Research, Journal of Clinical Microbiology, Molecular & Cellular Proteomics, Scientific Reports and PROTEOMICS - CLINICAL APPLICATIONS.
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.