Linyi Cai

636 citations
21 papers · 492 · 1 hit paper · h-index 13

Impact in

Papers in

    • Connexins and lens biology 6
    • Bone Metabolism and Diseases 4
    • Heat shock proteins research 3
    • Osteoarthritis Treatment and Mechanisms 9

Linyi Cai

21 papers receiving 488 citations

Linyi Cai's Hit Papers

The role of TGF-beta3 in cartilage development and osteoarthritis 2023 · 89 citations
890+1+2Years since publication255075

Peers

Linyi Cai
Comparison fields: 5 of 78
  • Rheumatology 156
  • Cell Biology 101
  • Urology 32
  • Periodontics 23
  • Orthopedics and Sports Medicine 38
Replace Ping Long with:
Ping Long United States
Francesca Posa Italy
Jeeranan Manokawinchoke Thailand
Wikky Tigchelaar‐Gutter Netherlands
Thomas Imhof Germany
Jelena Kocić Serbia
Jianfei Yan China
Lu Luo United States
Zhao Chengyan United States
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Citations per year

Countries citing papers authored by Linyi Cai

Since Specialization
Citations

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

Fields of papers citing papers by Linyi Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of TGF-beta3 in cartilage development and osteoarthritis
Hit paper breakdown →
202389
2 201780
3 201534
4 201933
5 201833
6 202032
7 202029
8 201823
9 201923
10 201820
11 202119
12 201818
13 202018
14 20239
15 20208
16 20167
17 20216
18 20216
19
[The Effects of NF-kappaB Signalling on the TNF-α induced Ratios of MMPs to TIMPs in Chondrocytes].
20162
20 20182

About Linyi Cai

Linyi Cai is a scholar working on Molecular Biology, Rheumatology, Cell Biology, Cancer Research and Pharmacology, having authored 21 papers that have together received 492 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (9 papers), Connexins and lens biology (6 papers), Cellular Mechanics and Interactions (4 papers), Protease and Inhibitor Mechanisms (4 papers), Bone Metabolism and Diseases (4 papers), Heat shock proteins research (3 papers), Cell Adhesion Molecules Research (2 papers) and Oral microbiology and periodontitis research (2 papers). The work is most often cited by research in Rheumatology (156 citations), Cell Biology (101 citations), Urology (32 citations), Periodontics (23 citations) and Orthopedics and Sports Medicine (38 citations). Linyi Cai has collaborated with scholars based in China and Myanmar. Frequent co-authors include Jing Xie, Xuedong Zhou, Xiangli Kong, Xin Xiong, Chenchen Zhou, Demao Zhang, Qingxuan Wang, Yujia Cui, Wei Du and Xiaobing Li. Their work appears in journals such as ACS Biomaterials Science & Engineering, International Journal of Oral Science, Bioscience Reports, Journal of Periodontology and Journal of Biomedical Materials Research Part B Applied Biomaterials.

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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