Won-Chul Suh
Impact in
- Molecular Biology top 10%
- Heat shock proteins research
- Microbial Metabolic Engineering and Bioproduction
- Plant biochemistry and biosynthesis
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Photosynthetic Processes and Mechanisms
Papers in
-
- Photosynthetic Processes and Mechanisms 3
- Microbial Metabolic Engineering and Bioproduction 2
- Heat shock proteins research 2
- RNA and protein synthesis mechanisms 2
- Plant biochemistry and biosynthesis 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Carol A. Gross (2 shared papers)Chi Zen Lu (2 shared papers)Robert A. LaRossa (1 shared paper)Pierre E. Rouvière (1 shared paper)M. Thomas Record (2 shared papers)William F. Burkholder (1 shared paper)Xun Zhao (1 shared paper)Max E. Gottesman (1 shared paper)
- Journals
- Science (1 paper)Journal of Biological Chemistry (1 paper)Biochemistry (1 paper)Applied Microbiology and Biotechnology (1 paper)Journal of Industrial Microbiology & Biotechnology (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Won-Chul Suh
8 papers receiving 830 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 786
- Biochemistry 38
- Genetics 166
- Physical and Theoretical Chemistry 51
- Cell Biology 61
Countries citing papers authored by Won-Chul Suh
This map shows the geographic impact of Won-Chul Suh'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-Chul Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won-Chul Suh more than expected).
Fields of papers citing papers by Won-Chul Suh
This network shows the impact of papers produced by Won-Chul Suh. 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-Chul Suh. The network helps show where Won-Chul Suh may publish in the future.
Co-authors
The 19 scholars most cited alongside Won-Chul Suh, 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 | 1998 | 226 | |
| 2 | 2005 | 223 | |
| 3 | 1999 | 115 | |
| 4 | 1995 | 85 | |
| 5 | 1993 | 75 | |
| 6 | 2007 | 66 | |
| 7 | 2007 | 50 | |
| 8 | 2011 | 5 |
About Won-Chul Suh
Won-Chul Suh is a scholar working on Molecular Biology, Biochemistry, Genetics, Renewable Energy, Sustainability and the Environment and Plant Science, having authored 8 papers that have together received 845 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Heat shock proteins research (2 papers), Bacterial Genetics and Biotechnology (2 papers), RNA and protein synthesis mechanisms (2 papers), Plant biochemistry and biosynthesis (2 papers), GABA and Rice Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (786 citations), Biochemistry (38 citations), Genetics (166 citations), Physical and Theoretical Chemistry (51 citations) and Cell Biology (61 citations). Won-Chul Suh has collaborated with scholars based in United States and Russia. Frequent co-authors include Carol A. Gross, Chi Zen Lu, Robert A. LaRossa, Pierre E. Rouvière, M. Thomas Record, William F. Burkholder, Xun Zhao, Max E. Gottesman, Wilma Ross and Tina K. Van Dyk. Their work appears in journals such as Science, Journal of Biological Chemistry, Biochemistry, Applied Microbiology and Biotechnology and Journal of Industrial Microbiology & Biotechnology.
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.