Chenhui Ji

1.4k citations
32 papers · 1.1k · h-index 20

Impact in

Papers in

Chenhui Ji

31 papers receiving 1.1k citations

Peers

Chenhui Ji
Comparison fields: 5 of 110
  • Biological Psychiatry 52
  • Neurology 144
  • Endocrinology, Diabetes and Metabolism 248
  • Cellular and Molecular Neuroscience 179
  • Neurology 140
Replace Xiaoying Zhu with:
Xiaoying Zhu China
Jiawei Chen China
Qiao Chen China
Fengshan Yu China
Araceli Díaz-Ruìz Mexico
Xin Wei China
Yazhou Xu China
Roderic H. Fabian United States
Chenhui Ji relative to Xiaoying Zhu China Xiaoying Zhu's profile →
Citations per field
00.5×
Xiaoying Zhu · 1×
Citations per year

Countries citing papers authored by Chenhui Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chenhui Ji Line = papers co-authored together Chenhui Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201893
2 201690
3 201589
4 201788
5 201979
6 201974
7 202067
8 201763
9 201562
10 202151
11 202444
12 202439
13 201835
14 202029
15 201527
16 202427
17 202220
18 202420
19 201820
20 202419

About Chenhui Ji

Chenhui Ji is a scholar working on Biomedical Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 32 papers that have together received 1.1k 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), Parkinson's Disease Mechanisms and Treatments (3 papers), Electrochemical Analysis and Applications (3 papers) and Phase Change Materials Research (3 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Neurology (144 citations), Endocrinology, Diabetes and Metabolism (248 citations), Cellular and Molecular Neuroscience (179 citations) and Neurology (140 citations). Chenhui Ji has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Christian Hölscher, Guanglai Li, Dongfang Li, Guofang Xue, Peng Feng, Shiyong Yu, Beibei Shen, Ziyue Yuan, Yuan Ma and Xiangjian Zhang. 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.

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