Jiaying Cai

431 citations
19 papers · 327 · h-index 8

Impact in

Papers in

Jiaying Cai

15 papers receiving 326 citations

Peers

Jiaying Cai
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 126
  • Biomaterials 69
  • Developmental Neuroscience 14
  • Biomedical Engineering 140
  • Modeling and Simulation 14
Replace Hong Cheng with:
Hong Cheng China
Ashwin N. Babu United States
Karl E. Kador United States
Shaofeng An China
Bailey Balouch United States
Ankor González‐Mayorga Spain
Stanley Samuel United States
Colin C Neitzke United States
David Y. Lin United States
Yuqiao Sun China
Jiaying Cai relative to Hong Cheng China Hong Cheng's profile →
Citations per field
00.5×10×14×
Hong Cheng · 1×
Citations per year

Countries citing papers authored by Jiaying Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jiaying Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202292
2 202277
3 202245
4 202330
5 201624
6 202322
7 201211
8 202210
9 20253
10 20243
11 20243
12 20242
13 20232
14 20231
15 20251
16 20251
17 20250
18 20250
19 20250

About Jiaying Cai

Jiaying Cai is a scholar working on Cellular and Molecular Neuroscience, Surgery, Molecular Biology, Biomedical Engineering and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 327 indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Recycling and Waste Management Techniques (1 paper), Virtual Reality Applications and Impacts (1 paper), Groundwater and Watershed Analysis (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (126 citations), Biomaterials (69 citations), Developmental Neuroscience (14 citations), Biomedical Engineering (140 citations) and Modeling and Simulation (14 citations). Jiaying Cai has collaborated with scholars based in China, Singapore and Finland. Frequent co-authors include Renjie Chai, Yangnan Hu, Hao Wei, Hong Cheng, Lin Xia, Zhuoyue Chen, Qiuju Wang, Jiahui Guo, Yuanjin Zhao and Hongyang Wang. Their work appears in journals such as Frontiers in Pharmacology, Ecotoxicology and Environmental Safety, Cancer Cell International, The Science of The Total Environment and Frontiers in Cell and Developmental Biology.

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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