Jin-Won Chung
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 11
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 13
- COVID-19 Clinical Research Studies 13
- Antimicrobial Resistance in Staphylococcus 12
- Endocrinology top 5%
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 7
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- Respiratory viral infections research 13
- Influenza Virus Research Studies 12
- Pneumonia and Respiratory Infections 8
- Co-authors
- Yang Soo KimSang‐Ho ChoiSeong‐Ho ChoiJiso RyuMin‐Chul KimNam Joong KimSang‐Oh LeeTae Hyong Kim
- Journals
- Journal of Korean Medical Science (6 papers)Diagnostic Microbiology and Infectious Disease (5 papers)Annals of Laboratory Medicine (4 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Jin-Won Chung
68 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Applied Microbiology and Biotechnology 156
- Molecular Medicine 333
- Infectious Diseases 526
- Endocrinology 86
- Clinical Biochemistry 114
Countries citing papers authored by Jin-Won Chung
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 21 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 15 | |
| 13 | 2018 | 4 | |
| 14 | 2017 | 9 | |
| 15 | 2014 | 28 | |
| 16 | 2012 | 1 | |
| 17 | 2010 | 9 | |
| 18 | 2009 | 2 | |
| 19 | A case of hypersensitivity vasculitis after influenza vaccination | 2008 | 1 |
| 20 | 2002 | 53 |
About Jin-Won Chung
Jin-Won Chung is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), COVID-19 Clinical Research Studies (13 papers), Respiratory viral infections research (13 papers), Influenza Virus Research Studies (12 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Resistance in Bacteria (11 papers), Pneumonia and Respiratory Infections (8 papers) and Bacterial Identification and Susceptibility Testing (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (156 citations), Molecular Medicine (333 citations) and Infectious Diseases (526 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, Jiso Ryu, Min‐Chul Kim, Nam Joong Kim, Sang‐Oh Lee, Tae Hyong Kim, Jun-Hee Woo and Yee Gyung Kwak. Their work appears in journals such as Journal of Korean Medical Science, Diagnostic Microbiology and Infectious Disease, Annals of Laboratory Medicine, PLoS ONE and American Journal of Tropical Medicine and Hygiene.
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.