Sun Kim
Impact in
- Endocrinology top 2%
- Molecular Medicine top 2%
Papers in
-
- Antibiotic Resistance in Bacteria 12
-
- Agriculture, Soil, Plant Science 12
- Co-authors
- William C. NiermanJunghyun HwangHan SongDavid DeShazerYoung YooYun‐Cheol NaRicky L. UlrichHyojeong Yi
- Journals
- BMC Genomics (5 papers)Journal of Bacteriology (4 papers)Antimicrobial Agents and Chemotherapy (4 papers)PLoS Pathogens (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Sun Kim
80 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 135
- Endocrinology 254
- Molecular Medicine 211
- Infectious Diseases 634
- Plant Science 1.0k
- Pharmacology 455
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2018 | 7 | |
| 3 | 2016 | 3 | |
| 4 | 2015 | 315 | |
| 5 | 2014 | 12 | |
| 6 | 2014 | 90 | |
| 7 | 2010 | 86 | |
| 8 | 2010 | 33 | |
| 9 | 2010 | 24 | |
| 10 | 2008 | 202 | |
| 11 | 2008 | 226 | |
| 12 | 2008 | 4 | |
| 13 | 2006 | 24 | |
| 14 | 2006 | 126 | |
| 15 | Growth and Yield of Soybeans as Affected by Density of Echinochloa crus-galli in Paddy Field | 2005 | 1 |
| 16 | 2005 | 43 | |
| 17 | 2005 | 23 | |
| 18 | Weed Control of Sulfonylurea Resistant Japanese bulrush(Scirpus juncoides) in paddy of Korea | 2003 | 1 |
| 19 | Weed Control of Small flatsedge (Cyperus difformis L.) with Resistant Response to Sulfonylurea Herbicides in the Paddy of Korea | 2003 | 6 |
| 20 | Effect of Different Fertilization Practices on Yield of a Wheat-Maize Rotation and Soil Fertility | 2002 | 3 |
About Sun Kim
Sun Kim is a scholar working on Molecular Medicine, Ecology, Evolution, Behavior and Systematics, Plant Science, Infectious Diseases and Pharmacology, having authored 81 papers that have together received 3.2k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (14 papers), Agriculture, Soil, Plant Science (12 papers), Antibiotic Resistance in Bacteria (12 papers), Antifungal resistance and susceptibility (9 papers), Genomics and Phylogenetic Studies (7 papers), Ecology and Conservation Studies (7 papers), Gut microbiota and health (7 papers) and Mycotoxins in Agriculture and Food (7 papers). The work is most often cited by research in Endocrinology (254 citations), Molecular Medicine (211 citations), Infectious Diseases (634 citations), Plant Science (1.0k citations) and Pharmacology (455 citations). Sun Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include William C. Nierman, Junghyun Hwang, Han Song, David DeShazer, Young Yoo, Yun‐Cheol Na, Ricky L. Ulrich, Hyojeong Yi, Natalie D. Fedorova and Stephen K. Farrand. Their work appears in journals such as BMC Genomics, Journal of Bacteriology, Antimicrobial Agents and Chemotherapy, PLoS Pathogens 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.