Xuting Bian

778 total citations
25 papers, 569 citations indexed

About

Xuting Bian is a scholar working on Orthopedics and Sports Medicine, Surgery and Rehabilitation. According to data from OpenAlex, Xuting Bian has authored 25 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Orthopedics and Sports Medicine, 12 papers in Surgery and 5 papers in Rehabilitation. Recurrent topics in Xuting Bian's work include Tendon Structure and Treatment (17 papers), Sports injuries and prevention (11 papers) and Shoulder Injury and Treatment (9 papers). Xuting Bian is often cited by papers focused on Tendon Structure and Treatment (17 papers), Sports injuries and prevention (11 papers) and Shoulder Injury and Treatment (9 papers). Xuting Bian collaborates with scholars based in China, United States and Sweden. Xuting Bian's co-authors include Kanglai Tang, Youxing Shi, Yunjiao Wang, Mei Zhou, Gang He, Xia Kang, Mingyu Yang, Hong Tang, Binghua Zhou and Wan Chen and has published in prestigious journals such as Nature Communications, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Xuting Bian

21 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuting Bian China 11 264 263 189 60 56 25 569
Fengfeng Li China 14 143 0.5× 162 0.6× 219 1.2× 37 0.6× 26 0.5× 23 561
Toshiki Miura Japan 18 266 1.0× 205 0.8× 398 2.1× 102 1.7× 29 0.5× 33 917
Samir M. Abdelmagid United States 16 373 1.4× 111 0.4× 76 0.4× 46 0.8× 84 1.5× 17 755
Xuelei Wei China 14 155 0.6× 196 0.7× 245 1.3× 31 0.5× 16 0.3× 21 585
Susann Minkwitz Germany 12 82 0.3× 172 0.7× 190 1.0× 47 0.8× 48 0.9× 15 492
Ryo Nakamichi Japan 12 204 0.8× 182 0.7× 149 0.8× 17 0.3× 41 0.7× 26 558
Jelena Basta‐Pljakic United States 12 202 0.8× 424 1.6× 232 1.2× 26 0.4× 43 0.8× 19 688
Stefanie Korntner Ireland 13 81 0.3× 168 0.6× 173 0.9× 107 1.8× 20 0.4× 26 500
Shama R. Iyer United States 16 415 1.6× 68 0.3× 236 1.2× 43 0.7× 131 2.3× 33 731
Kazumasa Fukushima United States 6 258 1.0× 113 0.4× 233 1.2× 52 0.9× 36 0.6× 9 560

Countries citing papers authored by Xuting Bian

Since Specialization
Citations

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

Fields of papers citing papers by Xuting Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuting Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Xuting Bian. A scholar is included among the top collaborators of Xuting Bian 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 Xuting Bian. Xuting Bian 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.
Xu, Shibo, Pan Huang, Lihang Zhang, et al.. (2025). Dual dynamic cross-linked self-healing chitosan-based hydrogels for microenvironmental reconstruction maintaining mitochondrial homeostasis to ameliorate tendinopathy progression. International Journal of Biological Macromolecules. 338(Pt 2). 149788–149788.
3.
Xie, Qing, Shixiang Guo, Yin Yu, et al.. (2025). Platelet-rich plasma-derived exosomes have the novel ability to alleviate insertional Achilles tendinopathy by promoting tenogenesis in tendon stem/progenitor cells. Biomaterials Advances. 173. 214272–214272. 2 indexed citations
4.
Xie, Haiqiong, Yiru Wang, Fei Liu, et al.. (2024). Strengthening mechanism of TPMS interpenetrating phase composites for bone tissue engineering. Composite Structures. 349-350. 118526–118526. 6 indexed citations
5.
Kang, Xia, Xuting Bian, Lidan Zhang, et al.. (2024). Exercise-induced Musclin determines the fate of fibro-adipogenic progenitors to control muscle homeostasis. Cell stem cell. 31(2). 212–226.e7. 23 indexed citations
6.
Zhou, Mei, Hong Tang, Gang He, et al.. (2024). Inhibition of CX3CL1 by treadmill training prevents osteoclast-induced fibrocartilage complex resorption during TBI healing. Frontiers in Immunology. 14. 1295163–1295163. 2 indexed citations
7.
Kang, Xia, Jindong Tan, Yunjiao Wang, et al.. (2024). Denervation‑induced NRG3 aggravates muscle heterotopic ossification via the ErbB4/PI3K/Akt signaling pathway. Molecular Medicine Reports. 31(1).
8.
Chang, Leslie, Yunjiao Wang, Xuting Bian, et al.. (2024). Haglund resection versus Haglund non-resection for calcific insertional Achilles tendinopathy with Haglund deformity: A retrospective study. Foot and Ankle Surgery. 30(5). 432–439.
9.
Bian, Xuting, et al.. (2024). miR-27b-3p reduces muscle fibrosis during chronic skeletal muscle injury by targeting TGF-βR1/Smad pathway. Journal of Orthopaedic Surgery and Research. 19(1). 329–329. 4 indexed citations
11.
Zhou, Mei, Feng Wang, Hong Tang, et al.. (2023). Effect of treadmill training on fibrocartilage complex repair in tendon-bone insertion healing in the postinflammatory stage. Bone and Joint Research. 12(5). 339–351. 5 indexed citations
12.
Liu, Fei, et al.. (2022). Effect of Pore Size of Porous-Structured Titanium Implants on Tendon Ingrowth. Applied Bionics and Biomechanics. 2022. 1–11. 10 indexed citations
14.
Wang, Jingjing, Hong Tang, Xuting Bian, et al.. (2021). Adipogenic differentiation was inhibited by downregulation of PPARγ signaling pathway in aging tendon stem/progenitor cells. Journal of Orthopaedic Surgery and Research. 16(1). 614–614. 12 indexed citations
15.
Lu, Kang, Hong Tang, Mei Zhou, et al.. (2020). Bionic Silk Fibroin Film Induces Morphological Changes and Differentiation of Tendon Stem/Progenitor Cells. Applied Bionics and Biomechanics. 2020. 1–10. 12 indexed citations
16.
Wang, Yunjiao, Gang He, Hong Tang, et al.. (2019). Exosomes from tendon stem cells promote injury tendon healing through balancing synthesis and degradation of the tendon extracellular matrix. Journal of Cellular and Molecular Medicine. 23(8). 5475–5485. 116 indexed citations
17.
Wang, Yunjiao, Gang He, Hong Tang, et al.. (2019). Aspirin promotes tenogenic differentiation of tendon stem cells and facilitates tendinopathy healing through regulating the GDF7/Smad1/5 signaling pathway. Journal of Cellular Physiology. 235(5). 4778–4789. 31 indexed citations
18.
Xiao, Dongchang, Xiaoning Liu, Min Zhang, et al.. (2018). Direct reprogramming of fibroblasts into neural stem cells by single non-neural progenitor transcription factor Ptf1a. Nature Communications. 9(1). 2865–2865. 72 indexed citations
19.
Kang, Xia, Mingyu Yang, Youxing Shi, et al.. (2018). Interleukin-15 facilitates muscle regeneration through modulation of fibro/adipogenic progenitors. Cell Communication and Signaling. 16(1). 42–42. 80 indexed citations
20.
Bian, Xuting, Hongyu Zhong, Fen Li, et al.. (2016). LXR agonist rescued the deficit in the proliferation of the cerebellar granule cells induced by dexamethasone. Biochemical and Biophysical Research Communications. 477(4). 826–833. 4 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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