Choon Kim

1.4k citations
41 papers · 1.2k · h-index 18

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 17
    • Clostridium difficile and Clostridium perfringens research 4
    • RNA and protein synthesis mechanisms 6
    • Bacterial biofilms and quorum sensing 6

Choon Kim

38 papers receiving 1.1k citations

Peers

Choon Kim
Comparison fields: 5 of 71
  • Molecular Medicine 415
  • Infectious Diseases 510
  • Clinical Biochemistry 116
  • Applied Microbiology and Biotechnology 25
  • Endocrinology 50
Replace Jennifer Fishovitz with:
Jennifer Fishovitz United States
Jacob Poehlsgaard Denmark
Tomomi Hishinuma Japan
Steve N. Leonard United States
Q. C. Truong-Bolduc United States
Shang Wei Wu United States
Yoshikuni Onodera Japan
Liqun Xiong United States
Christoph M. Ernst Germany
Heidi Gumpert Denmark
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Citations per field
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Jennifer Fishovitz · 1×
Citations per year

Countries citing papers authored by Choon Kim

Since Specialization
Citations

This map shows the geographic impact of Choon 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 Choon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Choon Kim more than expected).

Fields of papers citing papers by Choon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choon 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 Choon Kim. The network helps show where Choon Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Choon 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 Choon Kim Line = papers co-authored together Choon Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002149
2 2012115
3 2012109
4 201385
5 201466
6 200462
7 201360
8 200559
9 200651
10 200742
11 200437
12 200431
13 200827
14 201927
15 200624
16 201622
17 200721
18 201717
19 201817
20 202013

About Choon Kim

Choon Kim is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Genetics and Pharmacology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Bacterial Genetics and Biotechnology (16 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial biofilms and quorum sensing (6 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). The work is most often cited by research in Molecular Medicine (415 citations), Infectious Diseases (510 citations), Clinical Biochemistry (116 citations), Applied Microbiology and Biotechnology (25 citations) and Endocrinology (50 citations). Choon Kim has collaborated with scholars based in United States, Spain and Portugal. Frequent co-authors include Shahriar Mobashery, Alexander Tomasz, Sergei B. Vakulenko, Marilyn Chung, Hermı́nia de Lencastre, Michael Mwangi, Susana Gardete, Dušan Hesek, Matthew T. G. Holden and Jalal Haddad. Their work appears in journals such as Biochemistry, Antimicrobial Agents and Chemotherapy, Journal of Biological Chemistry, ACS Chemical Biology and Protein Science.

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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