Jun‐Ren Sun
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Antimicrobial Resistance in Staphylococcus
- Antifungal resistance and susceptibility
Papers in
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- Tuberculosis Research and Epidemiology 16
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 3
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- Antibiotic Resistance in Bacteria 19
- Co-authors
- Tzong‐Shi Chiueh (16 shared papers)Jang‐Jih Lu (11 shared papers)Cherng‐Lih Perng (11 shared papers)Tein-Yao Chang (8 shared papers)Wei‐Yao Wang (5 shared papers)Shu‐Chen Kuo (22 shared papers)Shih-Yi Lee (5 shared papers)Ya‐Sung Yang (17 shared papers)
In The Last Decade
Jun‐Ren Sun
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Molecular Medicine 387
- Infectious Diseases 459
- Endocrinology 68
- Clinical Biochemistry 45
- Microbiology 7
Countries citing papers authored by Jun‐Ren Sun
This map shows the geographic impact of Jun‐Ren Sun'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 Jun‐Ren Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Ren Sun more than expected).
Fields of papers citing papers by Jun‐Ren Sun
This network shows the impact of papers produced by Jun‐Ren Sun. 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 Jun‐Ren Sun. The network helps show where Jun‐Ren Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Ren Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 78 | |
| 2 | 2012 | 69 | |
| 3 | 2008 | 67 | |
| 4 | 2017 | 64 | |
| 5 | 2007 | 56 | |
| 6 | 2009 | 55 | |
| 7 | 2018 | 46 | |
| 8 | 2014 | 41 | |
| 9 | 2018 | 41 | |
| 10 | 2010 | 40 | |
| 11 | 2020 | 36 | |
| 12 | 2014 | 34 | |
| 13 | 2012 | 33 | |
| 14 | 2013 | 31 | |
| 15 | 2016 | 30 | |
| 16 | 2009 | 29 | |
| 17 | 2015 | 27 | |
| 18 | 2013 | 25 | |
| 19 | 2012 | 22 | |
| 20 | 2006 | 21 |
About Jun‐Ren Sun
Jun‐Ren Sun is a scholar working on Infectious Diseases, Molecular Medicine, Clinical Biochemistry, Endocrinology and Epidemiology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Tuberculosis Research and Epidemiology (16 papers), Bacterial Identification and Susceptibility Testing (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (4 papers), Infections and bacterial resistance (3 papers), COVID-19 Clinical Research Studies (3 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Molecular Medicine (387 citations), Infectious Diseases (459 citations), Endocrinology (68 citations), Clinical Biochemistry (45 citations) and Microbiology (7 citations). Jun‐Ren Sun has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Tzong‐Shi Chiueh, Jang‐Jih Lu, Cherng‐Lih Perng, Tein-Yao Chang, Wei‐Yao Wang, Shu‐Chen Kuo, Shih-Yi Lee, Ya‐Sung Yang, Horng-Yunn Dou and Jung‐Chung Lin. Their work appears in journals such as PLoS ONE, Clinical Microbiology and Infection, Journal of Antimicrobial Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases and Journal of Microbiology Immunology and Infection.
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.