Sunghee Woo
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Molecular Biology Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Bioinformatics
Papers in
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- Genomics and Phylogenetic Studies 2
- Glycosylation and Glycoproteins Research 1
- Microbial Metabolic Engineering and Bioproduction 1
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Seong Won (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)Yupeng He (1 shared paper)Natalie Castellana (1 shared paper)Seungjin Na (2 shared papers)
- Journals
- Journal of Proteome Research (3 papers)Journal of Natural Products (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Sunghee Woo
5 papers receiving 213 citations
Peers
Comparison fields: 5 of 37
- Spectroscopy 121
- Molecular Biology 161
- Cancer Research 18
- Pharmacology 14
- Biotechnology 6
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 | 2013 | 86 | |
| 2 | 2014 | 55 | |
| 3 | 2015 | 28 | |
| 4 | 1999 | 22 | |
| 5 | 2018 | 22 |
About Sunghee Woo
Sunghee Woo is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Pharmacology and Oncology, having authored 5 papers that have together received 213 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Peptidase Inhibition and Analysis (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Spectroscopy (121 citations), Molecular Biology (161 citations), Cancer Research (18 citations), Pharmacology (14 citations) and Biotechnology (6 citations). Sunghee Woo has collaborated with scholars based in United States and South Korea. Frequent co-authors include Seong Won, Vineet Bafna, Clark C. Guest, Gennifer E. Merrihew, Michael J. MacCoss, Yupeng He, Natalie Castellana, Seungjin Na, Samuel Payne and Karin Rodland. Their work appears in journals such as Journal of Proteome Research, Journal of Natural Products and PROTEOMICS.
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.