Jun Ren
Impact in
- Endocrinology top 5%
- Infections and bacterial resistance
-
- Infectious Disease Case Reports and Treatments
Papers in
-
- Environmental remediation with nanomaterials 12
- Pollution 12
- Heavy metals in environment 10
- Co-authors
- John F. Prescott (4 shared papers)Ling Tao (14 shared papers)Liang Dai (9 shared papers)Huanzhang Xia (3 shared papers)Xianpu Ni (3 shared papers)Hao Cui (3 shared papers)Gaofeng Wu (2 shared papers)Xiangkai Li (2 shared papers)
In The Last Decade
Jun Ren
47 papers receiving 497 citations
Peers
Comparison fields: 5 of 86
- Endocrinology 73
- Infectious Diseases 113
- Water Science and Technology 84
- Microbiology 4
- Pollution 60
Countries citing papers authored by Jun Ren
This map shows the geographic impact of Jun Ren'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 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 more than expected).
Fields of papers citing papers by Jun Ren
This network shows the impact of papers produced by Jun Ren. 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. The network helps show where Jun Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ren, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 55 | |
| 2 | 2003 | 52 | |
| 3 | 2013 | 33 | |
| 4 | 2003 | 31 | |
| 5 | 2004 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2003 | 28 | |
| 8 | 2015 | 23 | |
| 9 | 2017 | 20 | |
| 10 | 2024 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 2012 | 15 | |
| 13 | 2007 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2010 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2022 | 9 |
About Jun Ren
Jun Ren is a scholar working on Biomedical Engineering, Pollution, Water Science and Technology, Nuclear and High Energy Physics and Astronomy and Astrophysics, having authored 52 papers that have together received 515 indexed citations. Recurring topics across this work include Environmental remediation with nanomaterials (12 papers), Heavy metals in environment (10 papers), Cosmology and Gravitation Theories (8 papers), Adsorption and biosorption for pollutant removal (7 papers), Black Holes and Theoretical Physics (7 papers), Electrokinetic Soil Remediation Techniques (4 papers), Neutrino Physics Research (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Endocrinology (73 citations), Infectious Diseases (113 citations), Water Science and Technology (84 citations), Microbiology (4 citations) and Pollution (60 citations). Jun Ren has collaborated with scholars based in China, Canada and Greece. Frequent co-authors include John F. Prescott, Ling Tao, Liang Dai, Huanzhang Xia, Xianpu Ni, Hao Cui, Gaofeng Wu, Xiangkai Li, Pu Liu and Yanli Zhang. Their work appears in journals such as Veterinary Microbiology, New Journal of Chemistry, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, International Journal of Environmental Science and Technology and International Biodeterioration & Biodegradation.
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.