Sun‐Shin Cha
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 21
- Biotechnology top 1%
- Enzyme Production and Characterization 11
- Endocrinology top 2%
- Molecular Biology top 5%
- Biochemical and Molecular Research 12
- Protein Structure and Dynamics 10
- Enzyme Catalysis and Immobilization 6
- Inorganic Chemistry top 5%
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- Enzyme Structure and Function 40
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- Microbial Natural Products and Biosynthesis 14
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- Bacterial Genetics and Biotechnology 9
- Co-authors
- Young Jun AnByung‐Ha OhPemberton JhMoertel CgWieand HsFitzgibbons RjSusan GalandiukChang‐Sook Jeong
- Journals
- Journal of Biological Chemistry (8 papers)Biochemical and Biophysical Research Communications (6 papers)Scientific Reports (5 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sun‐Shin Cha
141 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 138
- Molecular Medicine 261
- Biotechnology 421
- Endocrinology 172
- Molecular Biology 1.9k
- Inorganic Chemistry 345
Countries citing papers authored by Sun‐Shin Cha
This map shows the geographic impact of Sun‐Shin Cha'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 Sun‐Shin Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Shin Cha more than expected).
Fields of papers citing papers by Sun‐Shin Cha
This network shows the impact of papers produced by Sun‐Shin Cha. 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 Sun‐Shin Cha. The network helps show where Sun‐Shin Cha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sun‐Shin Cha, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 26 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2018 | 24 | |
| 16 | Thinking process of TCM diagnosis and treatment under psychological logics model | 2015 | 1 |
| 17 | An analysis of tropical storms impact on islands and reefs in the South China Sea in the past 35 years | 2014 | 1 |
| 18 | The Research Situation of the Knowledge-based Cloud Manufacturing | 2012 | 1 |
| 19 | 2011 | 58 | |
| 20 | 2008 | 14 |
About Sun‐Shin Cha
Sun‐Shin Cha is a scholar working on Molecular Medicine, Biotechnology and Endocrinology, having authored 145 papers that have together received 4.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (40 papers), Antibiotic Resistance in Bacteria (21 papers), Microbial Natural Products and Biosynthesis (14 papers), Biochemical and Molecular Research (12 papers), Enzyme Production and Characterization (11 papers), Protein Structure and Dynamics (10 papers), Bacterial Genetics and Biotechnology (9 papers) and Enzyme Catalysis and Immobilization (6 papers). The work is most often cited by research in Molecular Medicine (261 citations), Biotechnology (421 citations) and Endocrinology (172 citations). Sun‐Shin Cha has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Young Jun An, Byung‐Ha Oh, Pemberton Jh, Moertel Cg, Wieand Hs, Fitzgibbons Rj, Susan Galandiuk, Chang‐Sook Jeong, Sang Hee Lee and Hyun Sook Lee. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Scientific Reports, Biochemistry and Nature Communications.
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.