Chul-Sang Lee
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 2
- Genetics 6
- Animal Genetics and Reproduction 4
- Virus-based gene therapy research 3
- Co-authors
- Yong‐Mahn Han (4 shared papers)Hyung‐Bae Moon (1 shared paper)Chul‐Ho Lee (1 shared paper)Heesik Yoon (1 shared paper)Seishi Murakami (1 shared paper)Kyung-Kwang Lee (4 shared papers)Ki-Sun Kwon (1 shared paper)Jeong Eun Lee (1 shared paper)
- Journals
- Applied Biochemistry and Biotechnology (1 paper)Gene (1 paper)Journal of Assisted Reproduction and Genetics (1 paper)Journal of Hepatology (1 paper)Experimental Neurology (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Chul-Sang Lee
11 papers receiving 369 citations
Peers
Comparison fields: 5 of 66
- Hepatology 88
- Epidemiology 162
- Developmental Neuroscience 19
- Molecular Biology 191
- Neurology 22
Countries citing papers authored by Chul-Sang Lee
This map shows the geographic impact of Chul-Sang Lee'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 Chul-Sang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chul-Sang Lee more than expected).
Fields of papers citing papers by Chul-Sang Lee
This network shows the impact of papers produced by Chul-Sang Lee. 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 Chul-Sang Lee. The network helps show where Chul-Sang Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Chul-Sang Lee, 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 | 1999 | 222 | |
| 2 | 2010 | 38 | |
| 3 | 2005 | 23 | |
| 4 | 2000 | 16 | |
| 5 | 2004 | 16 | |
| 6 | 1998 | 15 | |
| 7 | 2005 | 13 | |
| 8 | 1996 | 12 | |
| 9 | 1996 | 9 | |
| 10 | 2000 | 8 | |
| 11 | 1994 | 5 |
About Chul-Sang Lee
Chul-Sang Lee is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Physiology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 377 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (4 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Reproductive Biology and Fertility (2 papers), Pluripotent Stem Cells Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Hepatology (88 citations), Epidemiology (162 citations), Developmental Neuroscience (19 citations), Molecular Biology (191 citations) and Neurology (22 citations). Chul-Sang Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Yong‐Mahn Han, Hyung‐Bae Moon, Chul‐Ho Lee, Heesik Yoon, Seishi Murakami, Kyung-Kwang Lee, Ki-Sun Kwon, Jeong Eun Lee, B. Joy Snider and Jong Seong Ha. Their work appears in journals such as Applied Biochemistry and Biotechnology, Gene, Journal of Assisted Reproduction and Genetics, Journal of Hepatology and Experimental Neurology.
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.