Jae‐Hoon Ko

3.6k citations
126 papers · 2.0k · h-index 24

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Antifungal resistance and susceptibility
    • Antibiotic Resistance in Bacteria

Papers in

    • SARS-CoV-2 and COVID-19 Research 29
    • COVID-19 Clinical Research Studies 19
    • Antimicrobial Resistance in Staphylococcus 14
    • Antifungal resistance and susceptibility 9
    • SARS-CoV-2 detection and testing 8
    • Fungal Infections and Studies 6

Jae‐Hoon Ko

120 papers receiving 2.0k citations

Peers

Jae‐Hoon Ko
Comparison fields: 5 of 149
  • Infectious Diseases 834
  • Molecular Medicine 165
  • Applied Microbiology and Biotechnology 57
  • Modeling and Simulation 122
  • Endocrinology 120
Replace Ban Hock Tan with:
Ban Hock Tan Singapore
Won Suk Choi South Korea
Seung‐Ji Kang South Korea
Flavio De Maio Italy
Michela Sali Italy
Taek Soo Kim South Korea
Simone Scheithauer Germany
Jingwen Ai China
Marc Lütgehetmann Germany
Rami Sommerstein Switzerland
Jae‐Hoon Ko relative to Ban Hock Tan Singapore Ban Hock Tan's profile →
Citations per field
00.5×2.7×
Ban Hock Tan · 1×
Citations per year

Countries citing papers authored by Jae‐Hoon Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Hoon Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020199
2 2020169
3 2015120
4 2016103
5 201885
6 202079
7 202073
8 201665
9 202062
10 201760
11 201457
12 201844
13 202337
14 201934
15 201534
16 201731
17 201828
18 201827
19 201726
20 202025

About Jae‐Hoon Ko

Jae‐Hoon Ko is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (29 papers), COVID-19 Clinical Research Studies (19 papers), Antibiotic Resistance in Bacteria (14 papers), Antimicrobial Resistance in Staphylococcus (14 papers), Bacterial Identification and Susceptibility Testing (9 papers), Antifungal resistance and susceptibility (9 papers), SARS-CoV-2 detection and testing (8 papers) and Fungal Infections and Studies (6 papers). The work is most often cited by research in Infectious Diseases (834 citations), Molecular Medicine (165 citations), Applied Microbiology and Biotechnology (57 citations), Modeling and Simulation (122 citations) and Endocrinology (120 citations). Jae‐Hoon Ko has collaborated with scholars based in South Korea, Japan and Germany. Frequent co-authors include Kyong Ran Peck, Doo Ryeon Chung, Cheol‐In Kang, Jin Yong Kim, Sun Young Cho, Yae‐Jean Kim, Young Eun Ha, In Gul Kim, Kwideok Park and Ki Tae Kwon. Their work appears in journals such as Journal of Korean Medical Science, European Journal of Clinical Microbiology & Infectious Diseases, Microbiology Spectrum, International Journal of Infectious Diseases and Vaccine.

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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