Sun Kim

80 papers receiving 3.1k citations

Peers

Sun Kim
Comparison fields: 5 of 135
  • Endocrinology 254
  • Molecular Medicine 211
  • Infectious Diseases 634
  • Plant Science 1.0k
  • Pharmacology 455
Replace Herbert Hof with:
Herbert Hof Germany
Edwin J.A. Veldhuizen Netherlands
Nongnuch Vanittanakom Thailand
Seán Doyle Ireland
José Júlio Costa Sidrim Brazil
Elizabeth J. Harry Australia
Thierry Fontaine France
Vincent M. Bruno United States
Vinod Nair United States
Rossana de Aguiar Cordeiro Brazil
Sun Kim relative to Herbert Hof Germany Herbert Hof's profile →
Citations per field
00.5×2.6×
Herbert Hof · 1×
Citations per year

Countries citing papers authored by Sun Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sun Kim Line = papers co-authored together Sun Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20187
3 20163
4 2015315
5 201412
6 201490
7 201086
8 201033
9 201024
10 2008202
11 2008226
12 20084
13 200624
14 2006126
15
Growth and Yield of Soybeans as Affected by Density of Echinochloa crus-galli in Paddy Field
20051
16 200543
17 200523
18
Weed Control of Sulfonylurea Resistant Japanese bulrush(Scirpus juncoides) in paddy of Korea
20031
19
Weed Control of Small flatsedge (Cyperus difformis L.) with Resistant Response to Sulfonylurea Herbicides in the Paddy of Korea
20036
20
Effect of Different Fertilization Practices on Yield of a Wheat-Maize Rotation and Soil Fertility
20023

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.

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