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 27
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- CO2 Reduction Techniques and Catalysts 19
- Co-authors
- Da‐Gang Yu (28 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
29 papers receiving 1.4k citations
Chuan‐Kun Ran's Hit Papers
Peers
Comparison fields: 5 of 38
- Process Chemistry and Technology 828
- Renewable Energy, Sustainability and the Environment 672
- Pharmaceutical Science 209
- Organic Chemistry 885
- Inorganic Chemistry 335
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 134 | |
| 2 | 2022 | 134 | |
| 3 | 2020 | 132 | |
| 4 | Recent Advances in Electrochemical Carboxylation with CO 2 Hit paper breakdown → | 2024 | 129 |
| 5 | 2021 | 124 | |
| 6 | 2020 | 107 | |
| 7 | 2023 | 94 | |
| 8 | 2021 | 90 | |
| 9 | 2021 | 75 | |
| 10 | 2022 | 61 | |
| 11 | 2023 | 56 | |
| 12 | 2024 | 53 | |
| 13 | 2022 | 46 | |
| 14 | 2024 | 38 | |
| 15 | 2020 | 35 | |
| 16 | 2019 | 35 | |
| 17 | 2021 | 28 | |
| 18 | 2020 | 23 | |
| 19 | 2024 | 21 | |
| 20 | 2018 | 18 |
About Chuan‐Kun Ran
Chuan‐Kun Ran is a scholar working on Process Chemistry and Technology, Renewable Energy, Sustainability and the Environment, Organic Chemistry, Inorganic Chemistry and Pharmaceutical Science, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Carbon dioxide utilization in catalysis (27 papers), CO2 Reduction Techniques and Catalysts (19 papers), Radical Photochemical Reactions (13 papers), Catalytic C–H Functionalization Methods (9 papers), Asymmetric Hydrogenation and Catalysis (6 papers), Ionic liquids properties and applications (2 papers), Chemical Synthesis and Reactions (2 papers) and Fluorine in Organic Chemistry (2 papers). The work is most often cited by research in Process Chemistry and Technology (828 citations), Renewable Energy, Sustainability and the Environment (672 citations), Pharmaceutical Science (209 citations), Organic Chemistry (885 citations) and Inorganic Chemistry (335 citations). Chuan‐Kun Ran has collaborated with scholars based in China, Poland and Hungary. 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 Wen‐Jun Zhou. Their work appears in journals such as Angewandte Chemie International Edition, ACS Catalysis, Chinese Journal of Chemistry, 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.