Yong Chong
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 18
- COVID-19 Clinical Research Studies 10
- Tuberculosis Research and Epidemiology 8
-
- Antibiotic Resistance in Bacteria 10
- Co-authors
- Shinji ShimodaNobuyuki ShimonoYoshikiyo ItoTomohiko KamimuraKoichi AkashiHideyuki IkematsuToshihiro MiyamotoJun Hayashi
- Journals
- PLoS ONE (5 papers)Vaccine (4 papers)Influenza and Other Respiratory Viruses (4 papers)International Journal of Hematology (3 papers)Open Forum Infectious Diseases (3 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Yong Chong
105 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 392
- Endocrinology 218
- Applied Microbiology and Biotechnology 74
- Infectious Diseases 353
- Virology 85
Countries citing papers authored by Yong Chong
This map shows the geographic impact of Yong Chong'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 Yong Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Chong more than expected).
Fields of papers citing papers by Yong Chong
This network shows the impact of papers produced by Yong Chong. 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 Yong Chong. The network helps show where Yong Chong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yong Chong, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 11 | |
| 13 | 2019 | 6 | |
| 14 | Neuraminidase Amino Acid Sequences of Influenza A/H3N2 and B Viruses Isolated from Influenza Patients in the 2014/15 Japanese Influenza Season. | 2016 | 2 |
| 15 | 2016 | 14 | |
| 16 | 2013 | 27 | |
| 17 | Plasmid-Mediated Fluoroquinolone Efflux Pump Gene, qepA , in Escherichia coli Clinical Isolates from Korea | 2008 | 1 |
| 18 | 2004 | 29 | |
| 19 | 2002 | 1 | |
| 20 | 2000 | 5 |
About Yong Chong
Yong Chong is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Clinical Biochemistry and Virology, having authored 107 papers that have together received 1.9k indexed citations. Recurring topics across this work include Respiratory viral infections research (27 papers), Influenza Virus Research Studies (25 papers), SARS-CoV-2 and COVID-19 Research (18 papers), Mycobacterium research and diagnosis (12 papers), COVID-19 Clinical Research Studies (10 papers), Antibiotic Resistance in Bacteria (10 papers), Immune Cell Function and Interaction (9 papers) and Tuberculosis Research and Epidemiology (8 papers). The work is most often cited by research in Molecular Medicine (392 citations), Endocrinology (218 citations), Applied Microbiology and Biotechnology (74 citations), Infectious Diseases (353 citations) and Virology (85 citations). Yong Chong has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Shinji Shimoda, Nobuyuki Shimono, Yoshikiyo Ito, Tomohiko Kamimura, Koichi Akashi, Hideyuki Ikematsu, Toshihiro Miyamoto, Jun Hayashi, Yojiro Arinobu and Susan Chan. Their work appears in journals such as PLoS ONE, Vaccine, Influenza and Other Respiratory Viruses, International Journal of Hematology 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.