Zhenming Tian

814 total citations · 1 hit paper
16 papers, 611 citations indexed

About

Zhenming Tian is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Zhenming Tian has authored 16 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Zhenming Tian's work include Spinal Cord Injury Research (7 papers), Nerve injury and regeneration (5 papers) and MicroRNA in disease regulation (4 papers). Zhenming Tian is often cited by papers focused on Spinal Cord Injury Research (7 papers), Nerve injury and regeneration (5 papers) and MicroRNA in disease regulation (4 papers). Zhenming Tian collaborates with scholars based in China, Germany and United States. Zhenming Tian's co-authors include Bin Liu, Limin Rong, Yuyong Chen, Lei He, Can Liu, Lei Fan, Tianwei He, Depeng Wu, Qing Zhou and Mao Pang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Carbohydrate Polymers and Gene.

In The Last Decade

Zhenming Tian

14 papers receiving 605 citations

Hit Papers

Bone marrow mesenchymal stem cell-derived exosomes protec... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bone marrow mesenchymal stem cell-derived exosomes protect cartilage damage and relieve knee osteoarthritis pain in a rat model of osteoarthritis
    2020 306 citations Lei He, Tianwei He et al. Stem Cell Research & Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenming Tian China 10 363 181 164 113 105 16 611
Dingfei Qian China 13 399 1.1× 48 0.3× 162 1.0× 171 1.5× 98 0.9× 18 754
Depeng Wu China 7 331 0.9× 193 1.1× 153 0.9× 44 0.4× 23 0.2× 7 458
Maryam K. Mohammed United States 9 515 1.4× 69 0.4× 214 1.3× 59 0.5× 28 0.3× 18 954
Yonghui Hou China 14 257 0.7× 39 0.2× 121 0.7× 84 0.7× 52 0.5× 22 519
Pengyu Tang China 17 889 2.4× 85 0.5× 304 1.9× 421 3.7× 164 1.6× 33 1.4k
Yu Chai China 14 311 0.9× 123 0.7× 81 0.5× 29 0.3× 19 0.2× 39 698
Xianjian Qiu China 15 317 0.9× 253 1.4× 130 0.8× 143 1.3× 10 0.1× 26 818
Simona Zanotti Italy 19 774 2.1× 57 0.3× 114 0.7× 26 0.2× 138 1.3× 52 979
Boguslawa Sadowski Germany 8 253 0.7× 298 1.6× 75 0.5× 20 0.2× 40 0.4× 8 648

Countries citing papers authored by Zhenming Tian

Since Specialization
Citations

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

Fields of papers citing papers by Zhenming Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenming Tian

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

All Works

16 of 16 papers shown
1.
2.
Yao, Hui, Zhenming Tian, Yang Yang, et al.. (2024). Inhibition of MST1 ameliorates neuronal apoptosis via GSK3β/β-TrCP/NRF2 pathway in spinal cord injury accompanied by diabetes. Redox Biology. 71. 103104–103104. 19 indexed citations
3.
Li, Na, Zhenming Tian, Tianwei He, et al.. (2024). Double-target magnetic stimulation attenuates oligodendrocyte apoptosis and oxidative stress impairment after spinal cord injury via GAP43. The Spine Journal. 25(4). 820–842. 2 indexed citations
4.
Tian, Zhenming, Carmen Chan, Hong Li, et al.. (2024). Self‐Healing COCu‐Tac Hydrogel Enhances iNSCs Transplantation for Spinal Cord Injury by Promoting Mitophagy via the FKBP52/AKT Pathway. Advanced Science. 12(3). e2407757–e2407757.
5.
6.
Li, Hong, Zhenming Tian, Qian Liang, et al.. (2023). HGF secreted by hUC-MSCs mitigates neuronal apoptosis to repair the injured spinal cord via phosphorylation of Akt/FoxO3a pathway. Biochemical and Biophysical Research Communications. 692. 149321–149321. 1 indexed citations
7.
8.
Wang, Ruofei, et al.. (2022). Sustained release of hydrogen sulfide from anisotropic ferrofluid hydrogel for the repair of spinal cord injury. Bioactive Materials. 23. 118–128. 40 indexed citations
9.
Luo, Wenjing, Huiming Xu, Li Xu, et al.. (2022). Remyelination in neuromyelitis optica spectrum disorder is promoted by edaravone through mTORC1 signaling activation. Glia. 71(2). 284–304. 18 indexed citations
10.
Lu, Yubao, Wei Zhang, Zhenming Tian, et al.. (2022). The optimal transplantation strategy of umbilical cord mesenchymal stem cells in spinal cord injury: a systematic review and network meta-analysis based on animal studies. Stem Cell Research & Therapy. 13(1). 441–441. 9 indexed citations
11.
Chen, Yuyong, Zhenming Tian, Lei He, et al.. (2021). Exosomes derived from miR-26a-modified MSCs promote axonal regeneration via the PTEN/AKT/mTOR pathway following spinal cord injury. Stem Cell Research & Therapy. 12(1). 224–224. 83 indexed citations
12.
Liu, Can, Lei Fan, Zhenming Tian, et al.. (2021). Self-curling electroconductive nerve dressing for enhancing peripheral nerve regeneration in diabetic rats. Bioactive Materials. 6(11). 3892–3903. 55 indexed citations
13.
Wang, Nanxiang, Yang Yang, Mao Pang, et al.. (2020). MicroRNA-135a-5p Promotes the Functional Recovery of Spinal Cord Injury by Targeting SP1 and ROCK. Molecular Therapy — Nucleic Acids. 22. 1063–1077. 30 indexed citations
14.
Yang, Yang, Tingting Cao, Zhenming Tian, et al.. (2020). Subarachnoid transplantation of human umbilical cord mesenchymal stem cell in rodent model with subacute incomplete spinal cord injury: Preclinical safety and efficacy study. Experimental Cell Research. 395(2). 112184–112184. 28 indexed citations
15.
He, Lei, Tianwei He, Qing Zhou, et al.. (2020). Bone marrow mesenchymal stem cell-derived exosomes protect cartilage damage and relieve knee osteoarthritis pain in a rat model of osteoarthritis. Stem Cell Research & Therapy. 11(1). 276–276. 306 indexed citations breakdown →
16.
Wang, Nanxiang, Lei He, Yang Yang, et al.. (2019). Integrated analysis of competing endogenous RNA (ceRNA) networks in subacute stage of spinal cord injury. Gene. 726. 144171–144171. 17 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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