Jongyoun Yi
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
-
- Viral Infections and Vectors 10
- Antimicrobial Resistance in Staphylococcus 7
- Tuberculosis Research and Epidemiology 5
- Co-authors
- Myoung‐don OhPyoeng Gyun ChoeNam Joong KimSu Jin ChoiNak‐Hyun KimJong‐Koo LeeKye‐Hyung KimGayeon Kim
- Journals
- Annals of Laboratory Medicine (12 papers)Journal of Korean Medical Science (6 papers)Emerging infectious diseases (3 papers)International Journal of Infectious Diseases (2 papers)Open Forum Infectious Diseases (2 papers)
- Partner nations
- South KoreaSri LankaEthiopia
In The Last Decade
Jongyoun Yi
51 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Infectious Diseases 936
- Parasitology 145
- Ecology, Evolution, Behavior and Systematics 365
- Applied Microbiology and Biotechnology 38
- Molecular Medicine 84
Countries citing papers authored by Jongyoun Yi
This map shows the geographic impact of Jongyoun Yi'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 Jongyoun Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongyoun Yi more than expected).
Fields of papers citing papers by Jongyoun Yi
This network shows the impact of papers produced by Jongyoun Yi. 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 Jongyoun Yi. The network helps show where Jongyoun Yi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jongyoun Yi, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 1 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 9 | |
| 10 | 2016 | 26 | |
| 11 | 2015 | 14 | |
| 12 | 2015 | 11 | |
| 13 | 2015 | 12 | |
| 14 | 2015 | 0 | |
| 15 | 2014 | 23 | |
| 16 | 2012 | 3 | |
| 17 | 2011 | 39 | |
| 18 | 2009 | 14 | |
| 19 | 2005 | 64 | |
| 20 | 2004 | 3 |
About Jongyoun Yi
Jongyoun Yi is a scholar working on Microbiology, Infectious Diseases, Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Mycobacterium research and diagnosis (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotic Resistance in Bacteria (7 papers), Vector-Borne Animal Diseases (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Tuberculosis Research and Epidemiology (5 papers) and Infective Endocarditis Diagnosis and Management (5 papers). The work is most often cited by research in Infectious Diseases (936 citations), Parasitology (145 citations), Ecology, Evolution, Behavior and Systematics (365 citations), Applied Microbiology and Biotechnology (38 citations) and Molecular Medicine (84 citations). Jongyoun Yi has collaborated with scholars based in South Korea, Sri Lanka and Ethiopia. Frequent co-authors include Myoung‐don Oh, Pyoeng Gyun Choe, Nam Joong Kim, Su Jin Choi, Nak‐Hyun Kim, Jong‐Koo Lee, Kye‐Hyung Kim, Gayeon Kim, Kang Il Jun and Eui-Chong Kim. Their work appears in journals such as Annals of Laboratory Medicine, Journal of Korean Medical Science, Emerging infectious diseases, International Journal of Infectious Diseases and Open Forum 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.