Kun‐Soo Kim
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Microbiology top 1%
- Bacterial Infections and Vaccines
Papers in
-
- Bacterial biofilms and quorum sensing 13
- Plant tissue culture and regeneration 9
-
- Vibrio bacteria research studies 31
- Escherichia coli research studies 7
- Co-authors
- Carol A. Wass (5 shared papers)Nemani V. Prasadarao (4 shared papers)S H Huang (2 shared papers)Monique F. Stins (2 shared papers)Stephen K. Farrand (8 shared papers)Jeffrey N. Weiser (1 shared paper)Sang Ho Choi (10 shared papers)In Hwang Kim (12 shared papers)
- Journals
- Infection and Immunity (12 papers)Journal of Bacteriology (9 papers)Tetrahedron Letters (4 papers)Journal of Biological Chemistry (3 papers)Applied Microbiology and Biotechnology (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Kun‐Soo Kim
71 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 114
- Endocrinology 842
- Microbiology 287
- Molecular Medicine 191
- Immunology 402
- Genetics 377
Countries citing papers authored by Kun‐Soo Kim
This map shows the geographic impact of Kun‐Soo 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 Kun‐Soo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Soo Kim more than expected).
Fields of papers citing papers by Kun‐Soo Kim
This network shows the impact of papers produced by Kun‐Soo 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 Kun‐Soo Kim. The network helps show where Kun‐Soo Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Soo 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 291 | |
| 2 | 1995 | 194 | |
| 3 | 2007 | 164 | |
| 4 | 1996 | 102 | |
| 5 | 2006 | 88 | |
| 6 | 2006 | 83 | |
| 7 | 1998 | 78 | |
| 8 | 1992 | 74 | |
| 9 | 2011 | 58 | |
| 10 | 2008 | 50 | |
| 11 | 1988 | 50 | |
| 12 | 1996 | 42 | |
| 13 | 2018 | 39 | |
| 14 | 2013 | 38 | |
| 15 | 2012 | 36 | |
| 16 | 2005 | 34 | |
| 17 | 2015 | 33 | |
| 18 | 2010 | 31 | |
| 19 | 1985 | 31 | |
| 20 | 1997 | 30 |
About Kun‐Soo Kim
Kun‐Soo Kim is a scholar working on Molecular Biology, Endocrinology, Immunology, Genetics and Plant Science, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (31 papers), Aquaculture disease management and microbiota (14 papers), Bacterial biofilms and quorum sensing (13 papers), Bacterial Genetics and Biotechnology (13 papers), Plant tissue culture and regeneration (9 papers), Escherichia coli research studies (7 papers), Bacterial Infections and Vaccines (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Endocrinology (842 citations), Microbiology (287 citations), Molecular Medicine (191 citations), Immunology (402 citations) and Genetics (377 citations). Kun‐Soo Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Carol A. Wass, Nemani V. Prasadarao, S H Huang, Monique F. Stins, Stephen K. Farrand, Jeffrey N. Weiser, Sang Ho Choi, In Hwang Kim, Kyu‐Ho Lee and Qi Fu. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Tetrahedron Letters, Journal of Biological Chemistry and Applied Microbiology and Biotechnology.
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.