Sunghee Woo
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 2
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- Genomics and Phylogenetic Studies 3
- Molecular Biology Techniques and Applications 2
- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 1
- RNA modifications and cancer 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Seong Won Cha (3 shared papers)Vineet Bafna (3 shared papers)Clark C. Guest (2 shared papers)Gennifer E. Merrihew (2 shared papers)Michael J. MacCoss (2 shared papers)Natalie E. Castellana (1 shared paper)Yupeng He (1 shared paper)Seungjin Na (2 shared papers)
- Journals
- Journal of Proteome Research (3 papers)Cell (2 papers)Journal of Proteomics (1 paper)PROTEOMICS (1 paper)Journal of Natural Products (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Sunghee Woo
8 papers receiving 1.1k citations
Sunghee Woo's Hit Papers
Peers
Comparison fields: 5 of 89
- Spectroscopy 395
- Cancer Research 221
- Molecular Biology 704
- Reproductive Medicine 63
- Oncology 149
Countries citing papers authored by Sunghee Woo
This map shows the geographic impact of Sunghee Woo'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 Sunghee Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghee Woo more than expected).
Fields of papers citing papers by Sunghee Woo
This network shows the impact of papers produced by Sunghee Woo. 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 Sunghee Woo. The network helps show where Sunghee Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunghee Woo, 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 | Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer Hit paper breakdown → | 2016 | 798 |
| 2 | 2013 | 96 | |
| 3 | 2014 | 59 | |
| 4 | 2014 | 47 | |
| 5 | 2015 | 30 | |
| 6 | 2018 | 27 | |
| 7 | 2018 | 25 | |
| 8 | 1999 | 22 | |
| 9 | 2025 | 0 |
About Sunghee Woo
Sunghee Woo is a scholar working on Spectroscopy, Molecular Biology, Toxicology, Pharmacology and Oncology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Genomics and Phylogenetic Studies (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Molecular Biology Techniques and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Spectroscopy (395 citations), Cancer Research (221 citations), Molecular Biology (704 citations), Reproductive Medicine (63 citations) and Oncology (149 citations). Sunghee Woo has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Seong Won Cha, Vineet Bafna, Clark C. Guest, Gennifer E. Merrihew, Michael J. MacCoss, Natalie E. Castellana, Yupeng He, Seungjin Na, Payne Sam and David L. Tabb. Their work appears in journals such as Journal of Proteome Research, Cell, Journal of Proteomics, PROTEOMICS and Journal of Natural Products.
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.