Sun Kim
Impact in
- Endocrinology top 2%
- Molecular Medicine top 2%
Papers in
-
- Gut microbiota and health 6
- Gene expression and cancer classification 4
- Epidemiology 17
- Burkholderia infections and melioidosis 14
- Co-authors
- William C. Nierman (22 shared papers)Junghyun Hwang (8 shared papers)Han Song (6 shared papers)David DeShazer (6 shared papers)Yun‐Cheol Na (1 shared paper)Young Yoo (1 shared paper)Ricky L. Ulrich (4 shared papers)Hyojeong Yi (15 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (4 papers)Journal of Bacteriology (4 papers)PLoS Pathogens (3 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sun Kim
63 papers receiving 2.9k citations
Sun Kim's Hit Papers
Peers
Comparison fields: 5 of 127
- Endocrinology 233
- Molecular Medicine 185
- Infectious Diseases 575
- Pharmacology 437
- Plant Science 857
Countries citing papers authored by Sun Kim
This map shows the geographic impact of Sun 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 Sun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Kim more than expected).
Fields of papers citing papers by Sun Kim
This network shows the impact of papers produced by Sun 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 Sun Kim. The network helps show where Sun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Faecalibacterium prausnitzii subspecies–level dysbiosis in the human gut microbiome underlying atopic dermatitis Hit paper breakdown → | 2015 | 324 |
| 2 | 2007 | 273 | |
| 3 | 2007 | 272 | |
| 4 | 2008 | 226 | |
| 5 | 2008 | 202 | |
| 6 | 2005 | 132 | |
| 7 | 2006 | 129 | |
| 8 | 2006 | 119 | |
| 9 | 2005 | 103 | |
| 10 | 2008 | 96 | |
| 11 | 2004 | 91 | |
| 12 | 2010 | 88 | |
| 13 | 2010 | 86 | |
| 14 | 2021 | 53 | |
| 15 | 1997 | 50 | |
| 16 | 2004 | 48 | |
| 17 | 2005 | 44 | |
| 18 | 2005 | 38 | |
| 19 | 1993 | 32 | |
| 20 | 2012 | 31 |
About Sun Kim
Sun Kim is a scholar working on Molecular Biology, Epidemiology, Plant Science, Infectious Diseases and Pharmacology, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (14 papers), Antibiotic Resistance in Bacteria (10 papers), Antifungal resistance and susceptibility (8 papers), Mycotoxins in Agriculture and Food (7 papers), Gut microbiota and health (6 papers), Bacterial Genetics and Biotechnology (5 papers), Microbial Natural Products and Biosynthesis (5 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Endocrinology (233 citations), Molecular Medicine (185 citations), Infectious Diseases (575 citations), Pharmacology (437 citations) and Plant Science (857 citations). Sun Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include William C. Nierman, Junghyun Hwang, Han Song, David DeShazer, Yun‐Cheol Na, Young Yoo, Ricky L. Ulrich, Hyojeong Yi, Natalie D. Fedorova and Stephen K. Farrand. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, PLoS Pathogens, Scientific Reports and PLoS ONE.
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.