Jun Ren
Impact in
- Organic Chemistry top 1%
- Cyclopropane Reaction Mechanisms
- Catalytic Alkyne Reactions
- Catalytic C–H Functionalization Methods
- Asymmetric Synthesis and Catalysis
- Spectroscopy top 1%
- Molecular Sensors and Ion Detection
Papers in
-
- Luminescence and Fluorescent Materials 26
-
- Cyclopropane Reaction Mechanisms 29
- Catalytic Alkyne Reactions 21
- Asymmetric Synthesis and Catalysis 15
- Co-authors
- Zhongwen Wang (41 shared papers)Xianwei Meng (23 shared papers)Xiangling Ren (23 shared papers)He Tian (6 shared papers)Da‐Hui Qu (6 shared papers)Fangqiong Tang (13 shared papers)Qiaochun Wang (5 shared papers)Siyang Xing (7 shared papers)
- Journals
- Dyes and Pigments (14 papers)Organic Letters (8 papers)Sensors and Actuators B Chemical (6 papers)Biosensors and Bioelectronics (5 papers)Tetrahedron (5 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Jun Ren
210 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 144
- Organic Chemistry 2.0k
- Spectroscopy 959
- Biochemistry 321
- Materials Chemistry 1.8k
- Biomaterials 494
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 217 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 258 | |
| 2 | 2004 | 221 | |
| 3 | 2004 | 179 | |
| 4 | 2013 | 170 | |
| 5 | 2010 | 166 | |
| 6 | 2022 | 158 | |
| 7 | 2011 | 117 | |
| 8 | 2016 | 110 | |
| 9 | 2013 | 104 | |
| 10 | 2012 | 97 | |
| 11 | 2011 | 94 | |
| 12 | 2017 | 93 | |
| 13 | 2009 | 89 | |
| 14 | 2014 | 85 | |
| 15 | 2013 | 77 | |
| 16 | 2005 | 71 | |
| 17 | 2011 | 66 | |
| 18 | 2008 | 61 | |
| 19 | 2010 | 61 | |
| 20 | 2013 | 60 |
About Jun Ren
Jun Ren is a scholar working on Materials Chemistry, Organic Chemistry, Molecular Biology, Electrical and Electronic Engineering and Spectroscopy, having authored 217 papers that have together received 5.3k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (32 papers), Cyclopropane Reaction Mechanisms (29 papers), Luminescence and Fluorescent Materials (26 papers), Advanced biosensing and bioanalysis techniques (24 papers), Catalytic Alkyne Reactions (21 papers), Nanoplatforms for cancer theranostics (20 papers), Asymmetric Synthesis and Catalysis (15 papers) and Sulfur Compounds in Biology (15 papers). The work is most often cited by research in Organic Chemistry (2.0k citations), Spectroscopy (959 citations), Biochemistry (321 citations), Materials Chemistry (1.8k citations) and Biomaterials (494 citations). Jun Ren has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Zhongwen Wang, Xianwei Meng, Xiangling Ren, He Tian, Da‐Hui Qu, Fangqiong Tang, Qiaochun Wang, Siyang Xing, Jie Fang and Changhui Fu. Their work appears in journals such as Dyes and Pigments, Organic Letters, Sensors and Actuators B Chemical, Biosensors and Bioelectronics and Tetrahedron.
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.