Sun Bean Kim

1.4k citations
67 papers · 1.0k · h-index 18

Impact in

Papers in

    • Antifungal resistance and susceptibility 5
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 and COVID-19 Research 4
    • HIV/AIDS Research and Interventions 3
    • Antibiotic Resistance in Bacteria 8

Sun Bean Kim

62 papers receiving 1.0k citations

Peers

Sun Bean Kim
Comparison fields: 5 of 62
  • Molecular Medicine 96
  • Microbiology 11
  • Infectious Diseases 221
  • Applied Microbiology and Biotechnology 20
  • Virology 26
Replace Paloma Gijón with:
Paloma Gijón Spain
Jacques Simkins United States
Melchor Riera Spain
Perrine Parize France
Lemonia Skoura Greece
Jen-Hsien Wang Taiwan
Étienne Canouï France
Gaye Usluer Türkiye
Laura Alagna Italy
Emanuele Palomba Italy
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Citations per field
00.5×2×2.8×
Paloma Gijón · 1×
Citations per year

Countries citing papers authored by Sun Bean Kim

Since Specialization
Citations

This map shows the geographic impact of Sun Bean 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 Bean 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 Bean Kim more than expected).

Fields of papers citing papers by Sun Bean Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015154
2 2012117
3 201550
4 201347
5 202343
6 201441
7 201337
8 201737
9 201233
10 201631
11 201430
12 201525
13 202124
14 201422
15 201121
16 201321
17 202221
18 201319
19 202317
20 201716

About Sun Bean Kim

Sun Bean Kim is a scholar working on Infectious Diseases, Molecular Medicine, Virology, Epidemiology and Emergency Medicine, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Antifungal resistance and susceptibility (5 papers), Sepsis Diagnosis and Treatment (5 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), HIV Research and Treatment (3 papers), HIV-related health complications and treatments (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Molecular Medicine (96 citations), Microbiology (11 citations), Infectious Diseases (221 citations), Applied Microbiology and Biotechnology (20 citations) and Virology (26 citations). Sun Bean Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sang Hoon Han, Nam Su Ku, Jun Yong Choi, Young Goo Song, June Myung Kim, Su Jin Jeong, Jin Young Ahn, Je Eun Song, Min Hyung Kim and Young Kyung Yoon. Their work appears in journals such as Scandinavian Journal of Infectious Diseases, AIDS Research and Human Retroviruses, Journal of Korean Medical Science, PLoS ONE and American Journal of Infection Control.

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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