Kaidong Wang

1.5k citations
56 papers · 1.2k indexed · h-index 17

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 6
    • Parkinson's Disease Mechanisms and Treatments 4
    • Electrochemical Analysis and Applications 5

Kaidong Wang

53 papers receiving 1.1k citations

Peers

Kaidong Wang
Comparison fields: 5 of 125
  • Electrochemistry 130
  • Health Informatics 22
  • Automotive Engineering 117
  • Bioengineering 46
  • Polymers and Plastics 111
Replace Yi He with:
Yi He China
Tzu‐En Lin Taiwan
Shihao Xu China
Eric Wu United States
Minhan Li China
Gangqiang Zhang China
Ruofan Zhang China
Fenglei Li China
Rong Tan China
Dajing Chen China
Kaidong Wang relative to Yi He China Yi He's profile →
Citations per field
00.5×5.5×
Yi He · 1×
Citations per year

Countries citing papers authored by Kaidong Wang

Since Specialization
Citations

This map shows the geographic impact of Kaidong Wang'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 Kaidong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaidong Wang more than expected).

Fields of papers citing papers by Kaidong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaidong Wang. 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 Kaidong Wang. The network helps show where Kaidong Wang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kaidong Wang, 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 Kaidong Wang Line = papers co-authored together Kaidong Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 202414
5 20245
6 20242
7 20246
8 20243
9 202435
10 202341
11 20236
12 20238
13 202318
14 20231
15 202312
16 202216
17 20227
18 202129
19 2019116
20 19936

About Kaidong Wang

Kaidong Wang is a scholar working on Neurology, Electrochemistry, Health Informatics, Biological Psychiatry and Neurology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Electrochemical Analysis and Applications (5 papers), Electrochemical sensors and biosensors (5 papers), Paraquat toxicity studies and treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Cooperative Communication and Network Coding (3 papers), Advanced Cellulose Research Studies (3 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Electrochemistry (130 citations), Health Informatics (22 citations), Automotive Engineering (117 citations), Bioengineering (46 citations) and Polymers and Plastics (111 citations). Kaidong Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guoqiang Jiang, Can Wu, Yunzhong Liu, Zhiguang Zhou, Konstantinos Psounis, Xiaohui Liu, Feng Wang, Nan Jing, Changming Liu and Feng Wang. Their work appears in journals such as Ecotoxicology and Environmental Safety, Industrial Crops and Products, Bioengineering & Translational Medicine, Science Advances and Biosensors and Bioelectronics.

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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