Won Suk Yang
Impact in
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- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
Papers in
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- RNA Research and Splicing 3
- Glycosylation and Glycoproteins Research 2
- S100 Proteins and Annexins 2
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- Bacterial Identification and Susceptibility Testing 4
- Co-authors
- Cheolju Lee (4 shared papers)Sung‐Hoon Kim (5 shared papers)Hyeong‐Gon Moon (1 shared paper)Dong‐Young Noh (1 shared paper)Byung‐Gee Kim (1 shared paper)Hyun Joo An (1 shared paper)Byung‐Gyu Kim (1 shared paper)Myeong‐Hee Yu (2 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Proteome Research (2 papers)Molecular & Cellular Proteomics (2 papers)Journal of Clinical Microbiology (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (2 papers)
- Partner nations
- South KoreaSwitzerlandPuerto Rico
In The Last Decade
Won Suk Yang
18 papers receiving 416 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 299
- Clinical Biochemistry 28
- Cancer Research 54
- Aging 5
- Spectroscopy 41
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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 82 | |
| 2 | 2014 | 75 | |
| 3 | 2019 | 47 | |
| 4 | 2011 | 46 | |
| 5 | 2019 | 38 | |
| 6 | 2017 | 36 | |
| 7 | 2020 | 23 | |
| 8 | 2009 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 1996 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 0 |
About Won Suk Yang
Won Suk Yang is a scholar working on Molecular Biology, Clinical Biochemistry, Molecular Medicine, Spectroscopy and Cancer Research, having authored 20 papers that have together received 426 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (4 papers), Antibiotic Resistance in Bacteria (4 papers), RNA Research and Splicing (3 papers), Protease and Inhibitor Mechanisms (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Molecular Biology (299 citations), Clinical Biochemistry (28 citations), Cancer Research (54 citations), Aging (5 citations) and Spectroscopy (41 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, Hyeong‐Gon Moon, Dong‐Young Noh, Byung‐Gee Kim, Hyun Joo An, Byung‐Gyu Kim, Myeong‐Hee Yu, Je‐Yoel Cho and Haemin Park. Their work appears in journals such as Scientific Reports, Journal of Proteome Research, Molecular & Cellular Proteomics, Journal of Clinical Microbiology 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.