Chan‐Su Rha
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
-
- Tea Polyphenols and Effects 15
- Phytoestrogen effects and research 7
-
- Microbial Metabolites in Food Biotechnology 12
- Co-authors
- Dae‐Ok Kim (23 shared papers)Young Sung Jung (13 shared papers)Cheon‐Seok Park (10 shared papers)Nam‐In Baek (4 shared papers)Dong‐Ho Seo (6 shared papers)Siyoung Lee (1 shared paper)Hyun Woo Jeong (2 shared papers)Moo‐Yeol Baik (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (4 papers)Enzyme and Microbial Technology (3 papers)Antioxidants (3 papers)Molecules (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Chan‐Su Rha
39 papers receiving 539 citations
Peers
Comparison fields: 5 of 80
- Biochemistry 110
- Biotechnology 141
- Nutrition and Dietetics 157
- Pathology and Forensic Medicine 156
- Food Science 95
Countries citing papers authored by Chan‐Su Rha
This map shows the geographic impact of Chan‐Su Rha'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 Chan‐Su Rha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan‐Su Rha more than expected).
Fields of papers citing papers by Chan‐Su Rha
This network shows the impact of papers produced by Chan‐Su Rha. 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 Chan‐Su Rha. The network helps show where Chan‐Su Rha may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan‐Su Rha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2020 | 42 | |
| 3 | 2019 | 31 | |
| 4 | 2018 | 29 | |
| 5 | 2018 | 24 | |
| 6 | 2019 | 23 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 19 | |
| 9 | 2018 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2020 | 18 | |
| 12 | 2012 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2002 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2005 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2020 | 12 |
About Chan‐Su Rha
Chan‐Su Rha is a scholar working on Pathology and Forensic Medicine, Nutrition and Dietetics, Biotechnology, Biochemistry and Molecular Biology, having authored 39 papers that have together received 548 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (15 papers), Microbial Metabolites in Food Biotechnology (12 papers), Enzyme Production and Characterization (12 papers), Phytochemicals and Antioxidant Activities (12 papers), Phytoestrogen effects and research (7 papers), Enzyme Catalysis and Immobilization (4 papers), Phytase and its Applications (4 papers) and Soybean genetics and cultivation (3 papers). The work is most often cited by research in Biochemistry (110 citations), Biotechnology (141 citations), Nutrition and Dietetics (157 citations), Pathology and Forensic Medicine (156 citations) and Food Science (95 citations). Chan‐Su Rha has collaborated with scholars based in South Korea and United States. Frequent co-authors include Dae‐Ok Kim, Young Sung Jung, Cheon‐Seok Park, Nam‐In Baek, Dong‐Ho Seo, Siyoung Lee, Hyun Woo Jeong, Moo‐Yeol Baik, Nam Soo Han and Tae Gyu Nam. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Enzyme and Microbial Technology, Antioxidants, Molecules and International Journal of Molecular Sciences.
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.