Suk Kim
Impact in
- Small Animals top 0.1%
- Brucella: diagnosis, epidemiology, treatment
- Endocrinology top 2%
- Escherichia coli research studies
Papers in
- Small Animals 111
- Brucella: diagnosis, epidemiology, treatment 94
- Immunology 73
- Galectins and Cancer Biology 42
- Co-authors
- Masahisa Watarai (25 shared papers)Hu-Jang Lee (91 shared papers)Man Hee Rhee (29 shared papers)Toshikazu Shirahata (7 shared papers)Alisha Wehdnesday Bernardo Reyes (63 shared papers)Wongi Min (53 shared papers)Kenta Watanabe (11 shared papers)Lauren Togonon Arayan (41 shared papers)
- Journals
- Microbial Pathogenesis (15 papers)Veterinary Microbiology (6 papers)Journal of Veterinary Science (6 papers)Infection and Immunity (4 papers)BMC Microbiology (3 papers)
- Partner nations
- South KoreaJapanPhilippines
In The Last Decade
Suk Kim
190 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 153
- Small Animals 1.1k
- Endocrinology 260
- Immunology 710
- Microbiology 202
- Parasitology 185
Countries citing papers authored by Suk Kim
This map shows the geographic impact of Suk 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 Suk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suk Kim more than expected).
Fields of papers citing papers by Suk Kim
This network shows the impact of papers produced by Suk 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 Suk Kim. The network helps show where Suk Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Suk 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 234 | |
| 2 | 2016 | 123 | |
| 3 | 2003 | 114 | |
| 4 | 2006 | 101 | |
| 5 | 2013 | 97 | |
| 6 | 2004 | 90 | |
| 7 | 2004 | 81 | |
| 8 | 2005 | 79 | |
| 9 | 2003 | 74 | |
| 10 | 2017 | 66 | |
| 11 | 2017 | 60 | |
| 12 | 2010 | 48 | |
| 13 | 2018 | 45 | |
| 14 | 2019 | 43 | |
| 15 | 2015 | 42 | |
| 16 | 2013 | 41 | |
| 17 | 2014 | 38 | |
| 18 | 2002 | 37 | |
| 19 | 2021 | 35 | |
| 20 | 2004 | 35 |
About Suk Kim
Suk Kim is a scholar working on Small Animals, Immunology, Food Science, Epidemiology and Endocrinology, having authored 203 papers that have together received 3.0k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (94 papers), Galectins and Cancer Biology (42 papers), Burkholderia infections and melioidosis (27 papers), Escherichia coli research studies (26 papers), Salmonella and Campylobacter epidemiology (22 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Animal Nutrition and Physiology (14 papers) and Coccidia and coccidiosis research (13 papers). The work is most often cited by research in Small Animals (1.1k citations), Endocrinology (260 citations), Immunology (710 citations), Microbiology (202 citations) and Parasitology (185 citations). Suk Kim has collaborated with scholars based in South Korea, Japan and Philippines. Frequent co-authors include Masahisa Watarai, Hu-Jang Lee, Man Hee Rhee, Toshikazu Shirahata, Alisha Wehdnesday Bernardo Reyes, Wongi Min, Kenta Watanabe, Lauren Togonon Arayan, Wongi Min and Tran Xuan Ngoc Huy. Their work appears in journals such as Microbial Pathogenesis, Veterinary Microbiology, Journal of Veterinary Science, Infection and Immunity and BMC 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.