Zhijie Dai

594 total citations
13 papers, 260 citations indexed

About

Zhijie Dai is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Zhijie Dai has authored 13 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Genetics. Recurrent topics in Zhijie Dai's work include MicroRNA in disease regulation (3 papers), Pancreatic function and diabetes (3 papers) and Genetic Syndromes and Imprinting (2 papers). Zhijie Dai is often cited by papers focused on MicroRNA in disease regulation (3 papers), Pancreatic function and diabetes (3 papers) and Genetic Syndromes and Imprinting (2 papers). Zhijie Dai collaborates with scholars based in China, Hong Kong and Canada. Zhijie Dai's co-authors include Zhiguang Zhou, Ying Zheng, Zhen Wang, Hongwei Shen, Jian Lin, Shan Wang, Kam Shing Lau, Dengshun Miao, Sookja Kim Chung and Yijie Hu and has published in prestigious journals such as Journal of Bone and Mineral Research, Neurobiology of Aging and Bone.

In The Last Decade

Zhijie Dai

13 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhijie Dai China 10 118 69 57 38 32 13 260
Anwesh Kamireddy United States 3 190 1.6× 37 0.5× 88 1.5× 43 1.1× 29 0.9× 3 305
Ping Xue China 12 125 1.1× 55 0.8× 46 0.8× 16 0.4× 17 0.5× 39 341
Keke Huang China 12 88 0.7× 30 0.4× 55 1.0× 36 0.9× 31 1.0× 21 281
Xiao Ping Zhu China 11 183 1.6× 58 0.8× 29 0.5× 55 1.4× 37 1.2× 18 330
Luguo Sun China 12 228 1.9× 43 0.6× 41 0.7× 20 0.5× 33 1.0× 16 372
Shih‐Yen Weng Taiwan 8 159 1.3× 31 0.4× 43 0.8× 15 0.4× 35 1.1× 14 428
Yuxue Sun China 10 138 1.2× 44 0.6× 41 0.7× 10 0.3× 36 1.1× 24 347
Marcelo Correia Portugal 13 315 2.7× 102 1.5× 43 0.8× 20 0.5× 36 1.1× 22 495
Yanxia Ma China 9 182 1.5× 63 0.9× 18 0.3× 27 0.7× 28 0.9× 25 297
Fiona M. Russell United Kingdom 8 280 2.4× 72 1.0× 64 1.1× 11 0.3× 33 1.0× 11 350

Countries citing papers authored by Zhijie Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhijie Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijie Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijie Dai. A scholar is included among the top collaborators of Zhijie 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 Zhijie Dai. Zhijie Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Sun, Dongdong, Yijie Hu, Xin Li, et al.. (2024). Unlocking the full potential of memory T cells in adoptive T cell therapy for hematologic malignancies. International Immunopharmacology. 144. 113392–113392. 37 indexed citations
2.
Song, Tengwei, et al.. (2024). Myo-inositol rescued insulin resistance and dyslipidemia in db/db mice. Journal of Applied Biomedicine. 22(2). 74–80. 3 indexed citations
3.
Li, Xin, Shengdan Nie, Xin Hu, et al.. (2021). Overexpression of Annexin A2 promotes proliferation by forming a Glypican 1/c-Myc positive feedback loop: prognostic significance in human glioma. Cell Death and Disease. 12(3). 261–261. 20 indexed citations
6.
Song, Tao, Mingyu Zhang, Jun Wu, et al.. (2020). Glioma progression is suppressed by Naringenin and APO2L combination therapy via the activation of apoptosis in vitro and in vivo. Investigational New Drugs. 38(6). 1743–1754. 15 indexed citations
7.
Luo, Shuoming, Xia Li, Gan Huang, et al.. (2019). Distinct two different ages associated with clinical profiles of acute onset type 1 diabetes in Chinese patients. Diabetes/Metabolism Research and Reviews. 36(2). e3209–e3209. 12 indexed citations
9.
Song, Tengwei, Mingyu Zhang, Yong Guo, et al.. (2016). Roles of microRNA-99 family in human glioma. OncoTargets and Therapy. 9. 3613–3613. 17 indexed citations
10.
Wang, Zhen, et al.. (2016). Immunological Aspects of Fulminant Type 1 Diabetes in Chinese. Journal of Immunology Research. 2016. 1–6. 12 indexed citations
11.
Zheng, Ying, Zhen Wang, Hongwei Shen, et al.. (2015). miR-101a and miR-30b contribute to inflammatory cytokine-mediated β-cell dysfunction. Laboratory Investigation. 95(12). 1387–1397. 61 indexed citations
12.
Dai, Zhijie, et al.. (2010). Sodium/myo-inositol cotransporter 1 and myo-inositol are essential for osteogenesis and bone formation. Bone. 47. S371–S371. 2 indexed citations
13.
Dai, Zhijie, et al.. (2010). Sodium/myo-inositol cotransporter 1 and myo-inositol are essential for osteogenesis and bone formation. Journal of Bone and Mineral Research. 26(3). 582–590. 47 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026