Chaoren Yan
Impact in
- Analytical Chemistry top 5%
Papers in
-
- Carbon and Quantum Dots Applications 15
- Nanocluster Synthesis and Applications 8
- Advanced Nanomaterials in Catalysis 3
- Physiology 11
- Alzheimer's disease research and treatments 11
- Co-authors
- Ping Guan (19 shared papers)Chaoli Wang (12 shared papers)Minling Ding (4 shared papers)Xu Shao (11 shared papers)Huizhe Niu (4 shared papers)Shichao Ding (7 shared papers)Wang Le (1 shared paper)Nan Zhang (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (5 papers)ACS Applied Materials & Interfaces (2 papers)Journal of Materials Science (2 papers)Carbon (1 paper)Nanoscale (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chaoren Yan
26 papers receiving 862 citations
Peers
Comparison fields: 5 of 92
- Catalysis 62
- Analytical Chemistry 84
- Materials Chemistry 371
- Biomedical Engineering 279
- Biomaterials 81
Countries citing papers authored by Chaoren Yan
This map shows the geographic impact of Chaoren Yan'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 Chaoren Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoren Yan more than expected).
Fields of papers citing papers by Chaoren Yan
This network shows the impact of papers produced by Chaoren Yan. 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 Chaoren Yan. The network helps show where Chaoren Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoren Yan, 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 | 2021 | 174 | |
| 2 | 2019 | 93 | |
| 3 | 2021 | 72 | |
| 4 | 2019 | 70 | |
| 5 | 2020 | 66 | |
| 6 | 2022 | 46 | |
| 7 | 2019 | 45 | |
| 8 | 2022 | 38 | |
| 9 | 2021 | 34 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 31 | |
| 12 | 2019 | 30 | |
| 13 | 2019 | 26 | |
| 14 | 2021 | 23 | |
| 15 | 2021 | 14 | |
| 16 | 2024 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2024 | 8 |
About Chaoren Yan
Chaoren Yan is a scholar working on Materials Chemistry, Physiology, Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology, having authored 27 papers that have together received 874 indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (15 papers), Alzheimer's disease research and treatments (11 papers), Nanocluster Synthesis and Applications (8 papers), Electrochemical sensors and biosensors (4 papers), Graphene and Nanomaterials Applications (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Catalysis (62 citations), Analytical Chemistry (84 citations), Materials Chemistry (371 citations), Biomedical Engineering (279 citations) and Biomaterials (81 citations). Chaoren Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ping Guan, Chaoli Wang, Minling Ding, Xu Shao, Huizhe Niu, Shichao Ding, Wang Le, Nan Zhang, Tongtong Huang and Youbei Qiao. Their work appears in journals such as International Journal of Biological Macromolecules, ACS Applied Materials & Interfaces, Journal of Materials Science, Carbon and Nanoscale.
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.