Won‐Ki Huh
- Molecular Biology top 0.5%
- Fungal and yeast genetics research 24
- RNA Research and Splicing 9
- RNA and protein synthesis mechanisms 8
- DNA Repair Mechanisms 5
- Genomics and Chromatin Dynamics 5
- Aging top 1%
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 8
- Biophysics top 1%
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism 5
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- Antifungal resistance and susceptibility 9
- Co-authors
- Russell W. HowsonJonathan S. WeissmanErin K. O’SheaJames V. FalvoSina GhaemmaghamiArchana BelleNoah DephoureSa-Ouk Kang
- Cited by
- Molecular BiologyAgingCell Biology
- Journals
- Nucleic Acids Research (5 papers)Autophagy (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Won‐Ki Huh
68 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 7.4k
- Aging 184
- Cell Biology 1.6k
- Biophysics 328
- Biochemistry 301
Countries citing papers authored by Won‐Ki Huh
This map shows the geographic impact of Won‐Ki Huh'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‐Ki Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won‐Ki Huh more than expected).
Fields of papers citing papers by Won‐Ki Huh
This network shows the impact of papers produced by Won‐Ki Huh. 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‐Ki Huh. The network helps show where Won‐Ki Huh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Won‐Ki Huh, 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 | 2025 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 22 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 30 | |
| 7 | 2018 | 7 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 15 | |
| 10 | 2013 | 43 | |
| 11 | 2012 | 20 | |
| 12 | 2011 | 22 | |
| 13 | 2010 | 60 | |
| 14 | 2010 | 23 | |
| 15 | Construction, verification and experimental use of two epitope-tagged collections of budding yeast strains: Research Papers | 2005 | 2 |
| 16 | Global analysis of protein expression in yeastbreakdown → | 2003 | 3026 |
| 17 | 2001 | 42 | |
| 18 | 2001 | 33 | |
| 19 | 1998 | 59 | |
| 20 | 1994 | 62 |
About Won‐Ki Huh
Won‐Ki Huh is a scholar working on Aging, Biochemistry and Molecular Biology, having authored 69 papers that have together received 8.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (24 papers), Antifungal resistance and susceptibility (9 papers), RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (8 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Amino Acid Enzymes and Metabolism (5 papers), DNA Repair Mechanisms (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Molecular Biology (7.4k citations), Aging (184 citations) and Cell Biology (1.6k citations). Won‐Ki Huh has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Russell W. Howson, Jonathan S. Weissman, Erin K. O’Shea, James V. Falvo, Sina Ghaemmaghami, Archana Belle, Noah Dephoure, Sa-Ouk Kang, Min‐Kyung Sung and Cheol Woong Ha. Their work appears in journals such as Nucleic Acids Research, Autophagy, Proceedings of the National Academy of Sciences, Yeast and Molecular Microbiology.
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.