Seil Kim
Impact in
- Microbiology top 1%
- Ecology top 2%
- Microbial Community Ecology and Physiology
Papers in
-
- Genomics and Phylogenetic Studies 14
- Ecology 13
- Microbial Community Ecology and Physiology 8
- Co-authors
- Jongsik Chun (5 shared papers)Byung Kwon Kim (2 shared papers)Jae‐Hak Lee (1 shared paper)Young‐Woon Lim (1 shared paper)Myung‐Jin Kim (1 shared paper)Byoung‐In Sang (7 shared papers)Byoung Seung Jeon (3 shared papers)Youngsoon Um (8 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (10 papers)Frontiers in Microbiology (5 papers)Scientific Reports (4 papers)The Journal of Immunology (3 papers)Current Microbiology (2 papers)
- Partner nations
- South KoreaUnited StatesPakistan
In The Last Decade
Seil Kim
60 papers receiving 3.2k citations
Seil Kim's Hit Papers
Peers
Comparison fields: 5 of 137
- Microbiology 62
- Ecology 971
- Biotechnology 292
- Molecular Biology 2.0k
- Pollution 314
Countries citing papers authored by Seil Kim
This map shows the geographic impact of Seil Kim'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 Seil Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seil Kim more than expected).
Fields of papers citing papers by Seil Kim
This network shows the impact of papers produced by Seil Kim. 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 Seil Kim. The network helps show where Seil Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Seil Kim, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences Hit paper breakdown → | 2007 | 1869 |
| 2 | 2015 | 159 | |
| 3 | 2020 | 105 | |
| 4 | 2011 | 99 | |
| 5 | 2013 | 64 | |
| 6 | 2017 | 64 | |
| 7 | 2013 | 63 | |
| 8 | 2012 | 56 | |
| 9 | 2013 | 54 | |
| 10 | 2019 | 53 | |
| 11 | 2021 | 50 | |
| 12 | 2012 | 49 | |
| 13 | 2021 | 47 | |
| 14 | 2021 | 38 | |
| 15 | 2013 | 37 | |
| 16 | 2009 | 35 | |
| 17 | 2015 | 32 | |
| 18 | 2021 | 31 | |
| 19 | 2006 | 30 | |
| 20 | 2013 | 30 |
About Seil Kim
Seil Kim is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Immunology and Biomedical Engineering, having authored 69 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Immune Cell Function and Interaction (8 papers), Microbial Community Ecology and Physiology (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Biofuel production and bioconversion (6 papers), CAR-T cell therapy research (5 papers) and SARS-CoV-2 detection and testing (5 papers). The work is most often cited by research in Microbiology (62 citations), Ecology (971 citations), Biotechnology (292 citations), Molecular Biology (2.0k citations) and Pollution (314 citations). Seil Kim has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Jongsik Chun, Byung Kwon Kim, Jae‐Hak Lee, Young‐Woon Lim, Myung‐Jin Kim, Byoung‐In Sang, Byoung Seung Jeon, Youngsoon Um, Hyunook Kim and Byung-Chun Kim. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Frontiers in Microbiology, Scientific Reports, The Journal of Immunology and Current Microbiology.
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.