Jin-Won Chung

2.2k citations
71 papers · 1.2k · h-index 18

Impact in

Papers in

    • Respiratory viral infections research 10
    • Influenza Virus Research Studies 9
    • Pneumonia and Respiratory Infections 8
    • Antimicrobial Resistance in Staphylococcus 10
    • SARS-CoV-2 and COVID-19 Research 9
    • COVID-19 Clinical Research Studies 8

Jin-Won Chung

68 papers receiving 1.2k citations

Peers

Jin-Won Chung
Comparison fields: 5 of 95
  • Molecular Medicine 300
  • Applied Microbiology and Biotechnology 89
  • Infectious Diseases 420
  • Critical Care and Intensive Care Medicine 50
  • Endocrinology 58
Replace Oryan Henig with:
Oryan Henig Israel
Béatrice Grabein Germany
Assunta Sartor Italy
Benjamin Davido France
Kyoung Ho Roh South Korea
Ioanna Korbila Greece
Khetam Hussein Israel
Donald J. Lyon Hong Kong
Daniel A. Green United States
Hae Suk Cheong South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Jin-Won Chung

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Won Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Won Chung. 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 Jin-Won Chung. The network helps show where Jin-Won Chung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003149
2 2021104
3 200582
4 202058
5 200857
6 200253
7 201047
8 201835
9 200229
10 202128
11 201428
12 200926
13 202223
14 201521
15 200219
16 201119
17 202018
18 202218
19 201517
20 201117

About Jin-Won Chung

Jin-Won Chung is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Public Health, Environmental and Occupational Health and Surgery, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Respiratory viral infections research (10 papers), Influenza Virus Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Pneumonia and Respiratory Infections (8 papers), COVID-19 Clinical Research Studies (8 papers) and Streptococcal Infections and Treatments (6 papers). The work is most often cited by research in Molecular Medicine (300 citations), Applied Microbiology and Biotechnology (89 citations), Infectious Diseases (420 citations), Critical Care and Intensive Care Medicine (50 citations) and Endocrinology (58 citations). Jin-Won Chung has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Yang Soo Kim, Sang‐Ho Choi, Seong‐Ho Choi, Min‐Chul Kim, Jiso Ryu, Nam Joong Kim, Tae Hyong Kim, Sang‐Oh Lee, Jun-Hee Woo and Yee Gyung Kwak. Their work appears in journals such as Journal of Korean Medical Science, Diagnostic Microbiology and Infectious Disease, PLoS ONE, Annals of Laboratory Medicine and Vaccines.

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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