Jiabing Shen

499 total citations
42 papers, 377 citations indexed

About

Jiabing Shen is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jiabing Shen has authored 42 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 21 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jiabing Shen's work include Intracerebral and Subarachnoid Hemorrhage Research (23 papers), Kruppel-like factors research (9 papers) and Nerve injury and regeneration (8 papers). Jiabing Shen is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (23 papers), Kruppel-like factors research (9 papers) and Nerve injury and regeneration (8 papers). Jiabing Shen collaborates with scholars based in China, United States and Macao. Jiabing Shen's co-authors include Kaifu Ke, Maohong Cao, Yan Song, Xiaomei Chen, Yonghua Liu, Keke Huo, Ying Chen, Maosheng Cao, Jianhong Shen and Chengwei Duan and has published in prestigious journals such as The Journal of Physiology, Brain Research and Annals of Oncology.

In The Last Decade

Jiabing Shen

37 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiabing Shen China 13 192 141 74 69 44 42 377
Nadiya Byts Finland 10 141 0.7× 134 1.0× 85 1.1× 40 0.6× 26 0.6× 13 449
Justyna Okarmus Denmark 12 187 1.0× 134 1.0× 82 1.1× 67 1.0× 36 0.8× 14 362
Nicola Lax United Kingdom 5 268 1.4× 115 0.8× 78 1.1× 132 1.9× 35 0.8× 5 505
Alexandra I. Rosa Portugal 10 244 1.3× 85 0.6× 80 1.1× 67 1.0× 29 0.7× 16 473
Alicia Gates United States 9 189 1.0× 63 0.4× 85 1.1× 107 1.6× 36 0.8× 10 381
Qiaoying Huang China 12 228 1.2× 75 0.5× 131 1.8× 47 0.7× 42 1.0× 28 423
Shuxuan Huang China 12 184 1.0× 174 1.2× 73 1.0× 137 2.0× 48 1.1× 24 487
Laura Rué Belgium 13 266 1.4× 114 0.8× 193 2.6× 63 0.9× 54 1.2× 21 453
April Cox United States 12 226 1.2× 92 0.7× 126 1.7× 53 0.8× 19 0.4× 17 498
Christine Couch United States 9 184 1.0× 59 0.4× 40 0.5× 87 1.3× 44 1.0× 10 381

Countries citing papers authored by Jiabing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jiabing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiabing Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiabing Shen. A scholar is included among the top collaborators of Jiabing Shen 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 Jiabing Shen. Jiabing Shen 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.
Niu, Liang, et al.. (2025). Tetrandrine induces cell cycle arrest in cutaneous melanoma cells by inhibiting IL-6/CDC42 signaling. Archives of Dermatological Research. 317(1). 442–442.
2.
Yang, Jia‐Wei, Chengwei Duan, Xiangyang Zhu, Jiabing Shen, & Qiuhong Ji. (2025). The clinical value of triglyceride to high-density lipoprotein cholesterol ratio for predicting stroke-associated pneumonia after spontaneous intracerebral hemorrhage. BMC Neurology. 25(1). 148–148. 1 indexed citations
3.
Shen, Jiabing, et al.. (2023). Deubiquitylating Enzyme OTUB1 Facilitates Neuronal Survival After Intracerebral Hemorrhage Via Inhibiting NF-κB-triggered Apoptotic Cascades. Molecular Neurobiology. 61(3). 1726–1736. 2 indexed citations
4.
5.
Ke, Kaifu, et al.. (2022). Neuroprotective effects of insulin-like growth factor-2 in 6-hydroxydopamine-induced cellular and mouse models of Parkinson’s disease. Neural Regeneration Research. 18(5). 1099–1099. 8 indexed citations
6.
Zhang, Wen, et al.. (2021). SKP-SCs transplantation alleviates 6-OHDA-induced dopaminergic neuronal injury by modulating autophagy. Cell Death and Disease. 12(7). 674–674. 7 indexed citations
7.
Liang, Jingjing, Jinglei Wang, Jiabing Shen, et al.. (2021). Intracarotid Transplantation of Skin-Derived Precursor Schwann Cells Promotes Functional Recovery After Acute Ischemic Stroke in Rats. Frontiers in Neurology. 12. 613547–613547. 2 indexed citations
8.
9.
Chen, Ying, Jiabing Shen, Maosheng Cao, et al.. (2020). Skin-derived precursor Schwann cells protect SH-SY5Y cells against 6-OHDA-induced neurotoxicity by PI3K/AKT/Bcl-2 pathway. Brain Research Bulletin. 161. 84–93. 12 indexed citations
10.
Zhou, Tingting, Hongmei Wang, Jiabing Shen, et al.. (2019). The p35/CDK5 signaling is regulated by p75NTR in neuronal apoptosis after intracerebral hemorrhage. Journal of Cellular Physiology. 234(9). 15856–15871. 21 indexed citations
11.
Wang, Yueju, et al.. (2018). Bex1 attenuates neuronal apoptosis in rat intracerebral hemorrhage model. Pathology - Research and Practice. 214(4). 527–535. 8 indexed citations
12.
Shen, Jiabing, Tingting Zhou, Haizhen Li, et al.. (2018). Cab45s inhibits neuronal apoptosis following intracerebral hemorrhage in adult rats. Brain Research Bulletin. 143. 36–44. 12 indexed citations
13.
Xie, Lili, Aihong Li, Jiabing Shen, et al.. (2016). OTUB1 attenuates neuronal apoptosis after intracerebral hemorrhage. Molecular and Cellular Biochemistry. 422(1-2). 171–180. 14 indexed citations
14.
Zhu, Xinhui, Ying Zhou, Ran Tao, et al.. (2015). Upregulation of PTP1B After Rat Spinal Cord Injury. Inflammation. 38(5). 1891–1902. 9 indexed citations
15.
Shen, Jiabing, Yan Song, Maohong Cao, et al.. (2015). EP3, Prostaglandin E2 Receptor Subtype 3, Associated with Neuronal Apoptosis Following Intracerebral Hemorrhage. Cellular and Molecular Neurobiology. 36(6). 971–980. 8 indexed citations
16.
Shen, Jiabing, et al.. (2015). Protective Effect of Pyrroloquinoline Quinone (PQQ) in Rat Model of Intracerebral Hemorrhage. Cellular and Molecular Neurobiology. 35(7). 921–930. 24 indexed citations
17.
Ke, Kaifu, Yan Song, Jiabing Shen, et al.. (2014). Up-Regulation of Glis2 Involves in Neuronal Apoptosis After Intracerebral Hemorrhage in Adult Rats. Cellular and Molecular Neurobiology. 35(3). 345–354. 12 indexed citations
18.
Chen, Xiaomei, Jiabing Shen, Yang Wang, et al.. (2014). Up-Regulation of c-Fos Associated with Neuronal Apoptosis Following Intracerebral Hemorrhage. Cellular and Molecular Neurobiology. 35(3). 363–376. 31 indexed citations
19.
Song, Yan, Jianhong Shen, Jiabing Shen, et al.. (2014). Up-Regulation of Podoplanin Involves in Neuronal Apoptosis in LPS-Induced Neuroinflammation. Cellular and Molecular Neurobiology. 34(6). 839–849. 17 indexed citations
20.
Li, Lei, Kaifu Ke, Wei Xu, et al.. (2013). Up-regulation of NFATc4 Involves in Neuronal Apoptosis Following Intracerebral Hemorrhage. Cellular and Molecular Neurobiology. 33(7). 893–905. 25 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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