Jin Dai

1.0k total citations
28 papers, 476 citations indexed

About

Jin Dai is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Jin Dai has authored 28 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Jin Dai's work include MicroRNA in disease regulation (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Ion Channels and Receptors (3 papers). Jin Dai is often cited by papers focused on MicroRNA in disease regulation (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Ion Channels and Receptors (3 papers). Jin Dai collaborates with scholars based in China, Japan and United States. Jin Dai's co-authors include Shiro Ikegawa, Qing Jiang, Gen Nishimura, Dongquan Shi, Tae‐Joon Cho, Sheila Unger, Andrea Superti‐Furga, Ekkehart Lausch, Cheng Liu and Takahiro Nakamura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Food Chemistry.

In The Last Decade

Jin Dai

26 papers receiving 470 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Dai China 12 224 110 108 96 46 28 476
Hiroki Nakata Japan 14 209 0.9× 24 0.2× 57 0.5× 82 0.9× 74 1.6× 47 639
Ichiro Hikita Japan 11 97 0.4× 70 0.6× 200 1.9× 16 0.2× 38 0.8× 12 787
Youtian Hu China 16 438 2.0× 30 0.3× 55 0.5× 231 2.4× 37 0.8× 31 648
Gabriela Kukova Germany 7 63 0.3× 147 1.3× 92 0.9× 12 0.1× 26 0.6× 13 787
Ke Ma China 11 189 0.8× 15 0.1× 28 0.3× 40 0.4× 25 0.5× 36 435
Mitsuko L. Yamamoto United States 12 240 1.1× 18 0.2× 12 0.1× 31 0.3× 35 0.8× 24 400
Fatemeh Navid United States 14 226 1.0× 129 1.2× 13 0.1× 25 0.3× 15 0.3× 26 774
Dominique Martin Belgium 7 339 1.5× 21 0.2× 113 1.0× 26 0.3× 34 0.7× 9 577
David Piwnica France 12 190 0.8× 13 0.1× 19 0.2× 35 0.4× 36 0.8× 15 594
Tingxi Yu United States 17 685 3.1× 11 0.1× 34 0.3× 74 0.8× 98 2.1× 35 942

Countries citing papers authored by Jin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Dai. A scholar is included among the top collaborators of Jin Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Dai. Jin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Silver, Natalie L., Jin Dai, Akeesha A. Shah, et al.. (2025). HPV status impacts oncobacteria abundance and prognostic relevance in head and neck squamous cell carcinoma. Oncogene. 44(26). 2217–2223.
2.
Li, Ruiqi, Jingyi Zhang, Yibo Zhang, et al.. (2025). Metal amino acid framework (MAF)-mediated macrophage depletion and reprogramming for arthritis treatment. Nano Today. 65. 102856–102856.
3.
4.
Zhang, Hang, Meifeng Chen, Xinglin Wang, et al.. (2023). Transcriptome Analysis of Rhododendron liliiflorum H. Lév. Flower Colour Differences. Horticulturae. 9(1). 82–82. 5 indexed citations
5.
Cao, Taiqiang, et al.. (2023). Model predictive pulse pattern control of permanent magnet synchronous motors for medium- and low-speed optimization. Journal of Power Electronics. 23(9). 1364–1378. 2 indexed citations
6.
Zhou, Zhiwei, Xinyi Xu, Jin Dai, et al.. (2022). Myofibrillar protein-chlorogenic acid complexes ameliorate glucose metabolism via modulating gut microbiota in a type 2 diabetic rat model. Food Chemistry. 409. 135195–135195. 30 indexed citations
7.
Zhen, Yun-Fang, Jin Dai, Lunqing Zhu, et al.. (2021). miR-143 is implicated in growth plate injury by targeting IHH in precartilaginous stem cells. International Journal of Medical Sciences. 18(9). 1999–2007. 1 indexed citations
8.
Dong, Jian, Kaijia Zhang, Gaocai Li, et al.. (2021). CDDO-Im ameliorates osteoarthritis and inhibits chondrocyte apoptosis in mice via enhancing Nrf2-dependent autophagy. Acta Pharmacologica Sinica. 43(7). 1793–1802. 23 indexed citations
9.
Yan, Wenjin, Jin Dai, Dongquan Shi, et al.. (2018). Novel HSPG2 mutations causing Schwartz‑Jampel syndrome type 1 in a Chinese family: A case report. Molecular Medicine Reports. 18(2). 1761–1765. 5 indexed citations
10.
Dai, Jin, Sheng Zhou, Jinzhong Qin, et al.. (2018). Bi-directional regulation of cartilage metabolism by inhibiting BET proteins—analysis of the effect of I-BET151 on human chondrocytes and murine joints. Journal of Orthopaedic Surgery and Research. 13(1). 118–118. 11 indexed citations
11.
Yan, Wenjin, Jin Dai, Zhihong Xu, et al.. (2016). Novel WISP3 mutations causing progressive pseudorheumatoid dysplasia in two Chinese families. Human Genome Variation. 3(1). 16041–16041. 11 indexed citations
12.
Dai, Jin, et al.. (2015). The p47phox deficiency significantly attenuates the pathogenicity of Chlamydia muridarum in the mouse oviduct but not uterine tissues. Microbes and Infection. 18(3). 190–198. 12 indexed citations
13.
Sun, Xin, Zhangsheng Yang, Hongbo Zhang, et al.. (2015). Chlamydia muridarum Induction of Glandular Duct Dilation in Mice. Infection and Immunity. 83(6). 2327–2337. 18 indexed citations
14.
Cho, Tae‐Joon, Kazu Matsumoto, Virginia Fano, et al.. (2012). TRPV4‐pathy manifesting both skeletal dysplasia and peripheral neuropathy: A report of three patients. American Journal of Medical Genetics Part A. 158A(4). 795–802. 45 indexed citations
15.
Dai, Jin, Ok-Hwa Kim, Tae‐Joon Cho, et al.. (2011). A founder mutation of CANT1 common in Korean and Japanese Desbuquois dysplasia. Journal of Human Genetics. 56(5). 398–400. 9 indexed citations
16.
Dai, Jin, Tae‐Joon Cho, Sheila Unger, et al.. (2010). TRPV4-pathy, a novel channelopathy affecting diverse systems. Journal of Human Genetics. 55(7). 400–402. 40 indexed citations
17.
Furuichi, Tatsuya, Jin Dai, Satoru Sakazume, et al.. (2010). CANT1 mutation is also responsible for Desbuquois dysplasia, type 2 and Kim variant. Journal of Medical Genetics. 48(1). 32–37. 35 indexed citations
18.
Nishimura, Gen, Jin Dai, Ekkehart Lausch, et al.. (2010). Spondylo‐epiphyseal dysplasia, Maroteaux type (pseudo‐Morquio syndrome type 2), and parastremmatic dysplasia are caused by TRPV4 mutations. American Journal of Medical Genetics Part A. 152A(6). 1443–1449. 58 indexed citations
19.
Jiang, Qing, Dongquan Shi, Long Yi, et al.. (2006). Replication of the association of the aspartic acid repeat polymorphism in the asporin gene with knee-osteoarthritis susceptibility in Han Chinese. Journal of Human Genetics. 51(12). 1068–1072. 74 indexed citations
20.
Liu, Lei, Jin Dai, Robert R. Fandrich, & Elissavet Kardami. (1997). Cell-cycle dependent anti-FGF-2 staining of chicken cardiac myocytes: Movement from chromosomal to cleavage furrow- and midbody-associated sites. PubMed. 176(1-2). 153–161. 1 indexed citations

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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