Jun‐Ren Sun

60 papers receiving 1.1k citations

Peers

Jun‐Ren Sun
Comparison fields: 5 of 95
  • Molecular Medicine 358
  • Endocrinology 205
  • Infectious Diseases 464
  • Applied Microbiology and Biotechnology 30
  • Microbiology 10
Replace Fabrice Compain with:
Fabrice Compain France
Sook-In Jung South Korea
H. Vu Thien France
Kotaro Aoki Japan
J. Croizé France
Mikala Wang Denmark
Sohei Harada Japan
Eui-Chong Kim South Korea
Dolunay Gülmez Türkiye
Amanda Harrington United States
Jun‐Ren Sun relative to Fabrice Compain France Fabrice Compain's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun‐Ren Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun‐Ren Sun Line = papers co-authored together Jun‐Ren Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201273
2 201267
3 200866
4 201753
5 200948
6 200747
7 201839
8 201039
9 201438
10 201837
11 201434
12 202033
13 201232
14 201330
15 200928
16 201627
17 201525
18 201324
19
[Studies on human streptococcal infectious syndrome caused by infected pigs].
200022
20 201220

About Jun‐Ren Sun

Jun‐Ren Sun is a scholar working on Molecular Medicine, Microbiology, Endocrinology, Infectious Diseases and Epidemiology, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (23 papers), Antibiotic Resistance in Bacteria (20 papers), Tuberculosis Research and Epidemiology (15 papers), Infectious Diseases and Tuberculosis (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), COVID-19 Clinical Research Studies (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Molecular Medicine (358 citations), Endocrinology (205 citations), Infectious Diseases (464 citations), Applied Microbiology and Biotechnology (30 citations) and Microbiology (10 citations). Jun‐Ren Sun has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Jang‐Jih Lu, Tzong‐Shi Chiueh, Cherng‐Lih Perng, Tein‐Yao Chang, Wei‐Yao Wang, Shu‐Chen Kuo, Horng-Yunn Dou, Shih-Yi Lee, 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, BMC Infectious Diseases and Clinical Microbiology 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.

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