Jun‐Ren Sun
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Infections and bacterial resistance
Papers in
- Epidemiology 27
- Mycobacterium research and diagnosis 16
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- Tuberculosis Research and Epidemiology 14
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 6
- Co-authors
- Jang‐Jih Lu (10 shared papers)Tzong‐Shi Chiueh (13 shared papers)Cherng‐Lih Perng (9 shared papers)Tein-Yao Chang (7 shared papers)Wei‐Yao Wang (5 shared papers)Shu‐Chen Kuo (22 shared papers)Shih-Yi Lee (4 shared papers)Horng-Yunn Dou (11 shared papers)
In The Last Decade
Jun‐Ren Sun
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Molecular Medicine 359
- Endocrinology 188
- Infectious Diseases 430
- Applied Microbiology and Biotechnology 20
- Epidemiology 316
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 78 | |
| 2 | 2012 | 68 | |
| 3 | 2008 | 66 | |
| 4 | 2017 | 62 | |
| 5 | 2007 | 55 | |
| 6 | 2009 | 49 | |
| 7 | 2018 | 43 | |
| 8 | 2010 | 40 | |
| 9 | 2018 | 38 | |
| 10 | 2014 | 38 | |
| 11 | 2020 | 35 | |
| 12 | 2014 | 35 | |
| 13 | 2012 | 32 | |
| 14 | 2016 | 30 | |
| 15 | 2013 | 30 | |
| 16 | 2009 | 28 | |
| 17 | 2015 | 26 | |
| 18 | 2013 | 24 | |
| 19 | [Studies on human streptococcal infectious syndrome caused by infected pigs]. | 2000 | 22 |
| 20 | 2006 | 20 |
About Jun‐Ren Sun
Jun‐Ren Sun is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Surgery and Endocrinology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Mycobacterium research and diagnosis (16 papers), Tuberculosis Research and Epidemiology (14 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Infections and bacterial resistance (5 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). The work is most often cited by research in Molecular Medicine (359 citations), Endocrinology (188 citations), Infectious Diseases (430 citations), Applied Microbiology and Biotechnology (20 citations) and Epidemiology (316 citations). Jun‐Ren Sun has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Jang‐Jih Lu, Tzong‐Shi Chiueh, Cherng‐Lih Perng, Tein-Yao Chang, Wei‐Yao Wang, Shu‐Chen Kuo, Shih-Yi Lee, Horng-Yunn Dou, Ya‐Sung Yang and Jung‐Chung Lin. Their work appears in journals such as PLoS ONE, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Antimicrobial Chemotherapy, Clinical Microbiology and Infection and BMC 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.