Chenhui Ji
Impact in
- Biological Psychiatry top 10%
-
- Diabetes Treatment and Management
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Parkinson's Disease Mechanisms and Treatments 3
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- Nanoplatforms for cancer theranostics 8
- Co-authors
- Dongfang Li (5 shared papers)Christian Hölscher (5 shared papers)Guanglai Li (5 shared papers)Guofang Xue (4 shared papers)Peng Feng (4 shared papers)Shiyong Yu (2 shared papers)Beibei Shen (2 shared papers)Yuan Ma (1 shared paper)
- Journals
- Sensors and Actuators B Chemical (5 papers)Case Studies in Thermal Engineering (3 papers)ACS Applied Materials & Interfaces (2 papers)Neuropharmacology (2 papers)ACS Sensors (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chenhui Ji
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 110
- Biological Psychiatry 52
- Endocrinology, Diabetes and Metabolism 270
- Neurology 135
- Neurology 134
- Cellular and Molecular Neuroscience 159
Countries citing papers authored by Chenhui Ji
This map shows the geographic impact of Chenhui Ji'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 Chenhui Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenhui Ji more than expected).
Fields of papers citing papers by Chenhui Ji
This network shows the impact of papers produced by Chenhui Ji. 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 Chenhui Ji. The network helps show where Chenhui Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenhui Ji, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 110 | |
| 2 | 2018 | 106 | |
| 3 | 2017 | 100 | |
| 4 | 2015 | 92 | |
| 5 | 2019 | 87 | |
| 6 | 2019 | 76 | |
| 7 | 2020 | 72 | |
| 8 | 2017 | 68 | |
| 9 | 2015 | 64 | |
| 10 | 2021 | 59 | |
| 11 | 2024 | 52 | |
| 12 | 2024 | 46 | |
| 13 | 2024 | 42 | |
| 14 | 2018 | 36 | |
| 15 | 2020 | 34 | |
| 16 | 2024 | 29 | |
| 17 | 2024 | 29 | |
| 18 | 2015 | 29 | |
| 19 | 2018 | 22 | |
| 20 | 2022 | 22 |
About Chenhui Ji
Chenhui Ji is a scholar working on Neurology, Biomedical Engineering, Cellular and Molecular Neuroscience, Electrochemistry and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Luminescence and Fluorescent Materials (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Diabetes Treatment and Management (4 papers), Advanced Nanomaterials in Catalysis (3 papers), Nuclear Receptors and Signaling (3 papers), Phase Change Materials Research (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Endocrinology, Diabetes and Metabolism (270 citations), Neurology (135 citations), Neurology (134 citations) and Cellular and Molecular Neuroscience (159 citations). Chenhui Ji has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongfang Li, Christian Hölscher, Guanglai Li, Guofang Xue, Peng Feng, Shiyong Yu, Beibei Shen, Yuan Ma, Ziyue Yuan and Dong Liu. Their work appears in journals such as Sensors and Actuators B Chemical, Case Studies in Thermal Engineering, ACS Applied Materials & Interfaces, Neuropharmacology and ACS Sensors.
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.