Chuan‐Kun Ran
Impact in
- Process Chemistry and Technology top 0.5%
- Carbon dioxide utilization in catalysis
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- CO2 Reduction Techniques and Catalysts
Papers in
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- Carbon dioxide utilization in catalysis 25
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- Radical Photochemical Reactions 12
- Catalytic C–H Functionalization Methods 9
- Chemical Synthesis and Reactions 2
- Co-authors
- Da‐Gang Yu (26 shared papers)Li‐Li Liao (14 shared papers)Jian‐Heng Ye (12 shared papers)Yong‐Yuan Gui (5 shared papers)Wei Zhang (8 shared papers)Guo‐Quan Sun (4 shared papers)Lei Song (6 shared papers)Xiao‐Wang Chen (4 shared papers)
In The Last Decade
Chuan‐Kun Ran
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 36
- Process Chemistry and Technology 706
- Renewable Energy, Sustainability and the Environment 566
- Pharmaceutical Science 180
- Organic Chemistry 739
- Catalysis 154
Countries citing papers authored by Chuan‐Kun Ran
This map shows the geographic impact of Chuan‐Kun Ran'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 Chuan‐Kun Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuan‐Kun Ran more than expected).
Fields of papers citing papers by Chuan‐Kun Ran
This network shows the impact of papers produced by Chuan‐Kun Ran. 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 Chuan‐Kun Ran. The network helps show where Chuan‐Kun Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuan‐Kun Ran, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2022 | 125 | |
| 3 | 2021 | 113 | |
| 4 | 2020 | 102 | |
| 5 | 2024 | 88 | |
| 6 | 2023 | 84 | |
| 7 | 2021 | 79 | |
| 8 | 2021 | 71 | |
| 9 | 2022 | 60 | |
| 10 | 2023 | 48 | |
| 11 | 2022 | 43 | |
| 12 | 2024 | 40 | |
| 13 | 2024 | 36 | |
| 14 | 2019 | 34 | |
| 15 | 2020 | 33 | |
| 16 | 2021 | 27 | |
| 17 | 2024 | 20 | |
| 18 | 2020 | 18 | |
| 19 | 2018 | 16 | |
| 20 | 2024 | 15 |
About Chuan‐Kun Ran
Chuan‐Kun Ran is a scholar working on Process Chemistry and Technology, Organic Chemistry, Renewable Energy, Sustainability and the Environment, Inorganic Chemistry and Pharmaceutical Science, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Carbon dioxide utilization in catalysis (25 papers), CO2 Reduction Techniques and Catalysts (17 papers), Radical Photochemical Reactions (12 papers), Catalytic C–H Functionalization Methods (9 papers), Asymmetric Hydrogenation and Catalysis (5 papers), Chemical Synthesis and Reactions (2 papers), Ionic liquids properties and applications (2 papers) and Fluorine in Organic Chemistry (2 papers). The work is most often cited by research in Process Chemistry and Technology (706 citations), Renewable Energy, Sustainability and the Environment (566 citations), Pharmaceutical Science (180 citations), Organic Chemistry (739 citations) and Catalysis (154 citations). Chuan‐Kun Ran has collaborated with scholars based in China, Poland and Singapore. Frequent co-authors include Da‐Gang Yu, Li‐Li Liao, Jian‐Heng Ye, Yong‐Yuan Gui, Wei Zhang, Guo‐Quan Sun, Lei Song, Xiao‐Wang Chen, Tianyu Gao and Si‐Shun Yan. Their work appears in journals such as Angewandte Chemie International Edition, Chinese Journal of Chemistry, Journal of the American Chemical Society, CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) and Science China Chemistry.
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.