Chi-Nam Seong
- Molecular Biology
- Molecular Medicine top 5%
- Plant Science
- Physiology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Mi‐Kyung LeeUn Ju JungHye-Jin KimMyung‐Joo KimSeon-Min JeonSu‐Kyung ShinMyung‐Sook ChoiIl-Yun Jeong
- Topics
- Microbial Community Ecology and Physiology (4 papers)Genomics and Phylogenetic Studies (4 papers)Plant Disease Resistance and Genetics (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Chi-Nam Seong
19 papers receiving 380 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 150
- Molecular Medicine 128
- Plant Science 77
- Physiology 65
- Endocrinology, Diabetes and Metabolism 63
Countries citing papers authored by Chi-Nam Seong
This map shows the geographic impact of Chi-Nam Seong'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 Chi-Nam Seong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Nam Seong more than expected).
Fields of papers citing papers by Chi-Nam Seong
This network shows the impact of papers produced by Chi-Nam Seong. 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 Chi-Nam Seong. The network helps show where Chi-Nam Seong may publish in the future.
Co-authorship network of co-authors of Chi-Nam Seong
This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Nam Seong. A scholar is included among the top collaborators of Chi-Nam Seong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chi-Nam Seong. Chi-Nam Seong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 53 | |
| 10 | 212 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | Cloning, expression, and biochemical characterization of dTDP-glucose 4,6-dehydratase gene (gerE) from Streptomyces sp. GERI-155 | 3 |
| 15 | 21 | |
| 16 | Characterization and Cytotoxic Activities of Nonadecanoic Acid Produced by Streptomyces scabiei subsp. chosunensis M0137 (KCTC 9927) | 6 |
| 17 | Characterization of a Streptomycete Isolate Producing the Potent Cytotoxic Substance, Nonadecanoic Acid | 7 |
| 18 | Insecticidal effect of Bacillus isolate on Periplaneta americana. | 0 |
| 19 | 30 | |
| 20 | Strain Development of Zymomonas mobilis for Ethanol Production - Optimal conditions for the spheroplast formation and regeneration - | 1 |
About Chi-Nam Seong
Chi-Nam Seong is a scholar working on Microbiology, Clinical Biochemistry and Molecular Medicine, having authored 20 papers that have together received 405 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (4 papers), Genomics and Phylogenetic Studies (4 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Molecular Medicine (128 citations), Microbiology (7 citations) and Biochemistry (25 citations). Chi-Nam Seong has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Mi‐Kyung Lee, Un Ju Jung, Hye-Jin Kim, Myung‐Joo Kim, Seon-Min Jeon, Su‐Kyung Shin, Myung‐Sook Choi, Il-Yun Jeong, Kwon‐Il Seo and Jae Young Kim. Their work appears in journals such as PLoS ONE, Food and Chemical Toxicology and Metabolism.
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.