Jae‐Cheol Kwon

552 citations
21 papers · 394 · h-index 11

Impact in

Papers in

    • Antifungal resistance and susceptibility 11
    • Antimicrobial Resistance in Staphylococcus 5
    • Fungal Infections and Studies 6
    • Pneumocystis jirovecii pneumonia detection and treatment 5

Jae‐Cheol Kwon

18 papers receiving 386 citations

Peers

Jae‐Cheol Kwon
Comparison fields: 5 of 52
  • Molecular Medicine 99
  • Infectious Diseases 192
  • Applied Microbiology and Biotechnology 18
  • Endocrinology 34
  • Clinical Biochemistry 38
Replace H. Sprecher with:
H. Sprecher Israel
Stefania Santilli Italy
Maria Daniela Bergamasco Brazil
Johanna Kessel Germany
Fiona Senchyna United States
Bonnie C Prokesch United States
Naoya Nishiyama Japan
Rosy Priya Kodiyanplakkal United States
Carlos Alberto Pires Pereira Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Jae‐Cheol Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Cheol Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Cheol Kwon. 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 Jae‐Cheol Kwon. The network helps show where Jae‐Cheol Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201158
2 201253
3 201253
4 201144
5 201234
6 201330
7 201628
8 201122
9 201121
10 201114
11 201011
12 20117
13 20137
14 20125
15 20113
16 20092
17 20111
18 20111
19
Incidence and clinical course of HELLP syndrome in pregnant women
20040
20 20110

About Jae‐Cheol Kwon

Jae‐Cheol Kwon is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Molecular Medicine and Small Animals, having authored 21 papers that have together received 394 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (11 papers), Fungal Infections and Studies (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antibiotic Resistance in Bacteria (3 papers), Streptococcal Infections and Treatments (2 papers) and Infectious Diseases and Mycology (2 papers). The work is most often cited by research in Molecular Medicine (99 citations), Infectious Diseases (192 citations), Applied Microbiology and Biotechnology (18 citations), Endocrinology (34 citations) and Clinical Biochemistry (38 citations). Jae‐Cheol Kwon has collaborated with scholars based in South Korea. Frequent co-authors include Si‐Hyun Kim, Su‐Mi Choi, Dong‐Gun Lee, Jin‐Hong Yoo, Sun Hee Park, Jung‐Hyun Choi, Chulmin Park, Dong‐Seok Yim, Eun‐Young Kwon and Seunghoon Han. Their work appears in journals such as Mycoses, Journal of Korean Medical Science, Microbial Drug Resistance, International Journal of Infectious Diseases and BMC Infectious Diseases.

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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