Jieli Chen

19.3k total citations · 3 hit papers
190 papers, 15.7k citations indexed

About

Jieli Chen is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Jieli Chen has authored 190 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Neurology, 58 papers in Molecular Biology and 47 papers in Genetics. Recurrent topics in Jieli Chen's work include Neuroinflammation and Neurodegeneration Mechanisms (54 papers), Mesenchymal stem cell research (47 papers) and Neurogenesis and neuroplasticity mechanisms (47 papers). Jieli Chen is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (54 papers), Mesenchymal stem cell research (47 papers) and Neurogenesis and neuroplasticity mechanisms (47 papers). Jieli Chen collaborates with scholars based in United States, China and United Kingdom. Jieli Chen's co-authors include Michael Chopp, Mei Lü, Yi Li, Lei Wang, Dunyue Lu, Poornima Venkat, Alex Zacharek, Zhenggang Zhang, Subhash C. Gautam and Mark Katakowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Jieli Chen

185 papers receiving 15.4k citations

Hit Papers

Therapeutic Benefit of Intravenous Administration of Bone... 2001 2026 2009 2017 2001 2003 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jieli Chen United States 62 5.6k 5.2k 4.2k 3.9k 2.8k 190 15.7k
Zheng Gang Zhang United States 62 2.1k 0.4× 6.7k 1.3× 3.3k 0.8× 2.1k 0.5× 1.6k 0.6× 144 12.5k
Asim Mahmood United States 55 2.8k 0.5× 3.8k 0.7× 1.1k 0.3× 2.0k 0.5× 1.5k 0.5× 129 10.4k
Lin Xie China 49 1.3k 0.2× 4.3k 0.8× 2.6k 0.6× 4.5k 1.2× 3.3k 1.2× 181 11.3k
Dunyue Lu United States 43 3.4k 0.6× 2.5k 0.5× 1.1k 0.3× 2.2k 0.6× 1.6k 0.5× 58 7.6k
Xiao Mao United States 53 1.5k 0.3× 5.5k 1.1× 3.0k 0.7× 5.1k 1.3× 4.5k 1.6× 125 13.6k
Guido Stoll Germany 69 1.3k 0.2× 3.7k 0.7× 4.7k 1.1× 1.2k 0.3× 3.8k 1.3× 258 15.9k
Takaaki Kirino Japan 66 1.1k 0.2× 5.0k 1.0× 2.9k 0.7× 2.4k 0.6× 4.9k 1.7× 273 17.0k
Ling Wei United States 51 1.9k 0.3× 2.5k 0.5× 1.8k 0.4× 1.4k 0.4× 1.6k 0.6× 191 8.1k
Alison E. Willing United States 42 3.3k 0.6× 2.6k 0.5× 1.6k 0.4× 2.1k 0.5× 1.5k 0.5× 130 7.1k
Isao Date Japan 47 1.6k 0.3× 2.7k 0.5× 1.4k 0.3× 1.5k 0.4× 2.6k 0.9× 440 9.2k

Countries citing papers authored by Jieli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jieli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieli Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jieli Chen. A scholar is included among the top collaborators of Jieli Chen 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 Jieli Chen. Jieli Chen 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.
Xie, Xiaobo, Zhaoying Wu, Chengqiang Wang, et al.. (2025). Relieving oxidative stress microenvironment and promoting vascularized bone formation to treat femoral head necrosis using 3D-printed scaffold with ultralong-term multienzyme-like activity. Journal of Orthopaedic Translation. 53. 206–220. 1 indexed citations
2.
Qi, Zhi, et al.. (2025). Targeting CD38 to alleviate brain endothelial cell dysfunction and cognitive impairment in vascular dementia. Journal of Pharmacological Sciences. 158(4). 310–321.
3.
Wang, Lijun, et al.. (2024). Three-dimensional transient modeling and simulation of high-current multi-component vacuum arc under transverse magnetic field. Journal of Applied Physics. 136(11). 1 indexed citations
5.
Wang, Qingqing, Guifa Long, Jieli Chen, et al.. (2023). A highly active and stable single-atom catalyst for oxygen reduction with axial Fe-O coordination prepared through a fast medium-temperature pyrolysis process. Applied Catalysis B: Environmental. 337. 123009–123009. 20 indexed citations
7.
Zhao, Qiang, Tao Yan, Michael Chopp, Poornima Venkat, & Jieli Chen. (2019). Brain–kidney interaction: Renal dysfunction following ischemic stroke. Journal of Cerebral Blood Flow & Metabolism. 40(2). 246–262. 67 indexed citations
8.
Venkat, Poornima, Jieli Chen, & Michael Chopp. (2018). Exosome-mediated amplification of endogenous brain repair mechanisms and brain and systemic organ interaction in modulating neurological outcome after stroke. Journal of Cerebral Blood Flow & Metabolism. 38(12). 2165–2178. 56 indexed citations
9.
Yan, Tao, Zhili Chen, Michael Chopp, et al.. (2018). Inflammatory responses mediate brain–heart interaction after ischemic stroke in adult mice. Journal of Cerebral Blood Flow & Metabolism. 40(6). 1213–1229. 46 indexed citations
10.
Yu, Peng, Poornima Venkat, Michael Chopp, et al.. (2018). Role of microRNA-126 in vascular cognitive impairment in mice. Journal of Cerebral Blood Flow & Metabolism. 39(12). 2497–2511. 54 indexed citations
11.
Zacharek, Alex, Amjad Shehadah, Jieli Chen, et al.. (2010). Comparison of Bone Marrow Stromal Cells Derived From Stroke and Normal Rats for Stroke Treatment. Stroke. 41(3). 524–530. 54 indexed citations
12.
Chen, Jieli, Xu Cui, Alex Zacharek, et al.. (2010). White Matter Damage and the Effect of Matrix Metalloproteinases in Type 2 Diabetic Mice After Stroke. Stroke. 42(2). 445–452. 98 indexed citations
13.
Qu, Changsheng, Asim Mahmood, Ruizhuo Ning, et al.. (2010). The Treatment of Traumatic Brain Injury with Velcade. Journal of Neurotrauma. 27(9). 1625–1634. 13 indexed citations
14.
Chen, Jieli & Michael Chopp. (2010). Niacin, an Old Drug, has New Effects on Central Nervous System Disease. 2(1). 7 indexed citations
15.
Chen, Jieli, Alex Zacharek, Ang Li, et al.. (2007). Atorvastatin Promotes Presenilin-1 Expression and Notch1 Activity and Increases Neural Progenitor Cell Proliferation After Stroke. Stroke. 39(1). 220–226. 52 indexed citations
16.
Lü, Mei, Jieli Chen, Dunyue Lu, et al.. (2003). Global test statistics for treatment effect of stroke and traumatic brain injury in rats with administration of bone marrow stromal cells. Journal of Neuroscience Methods. 128(1-2). 183–190. 79 indexed citations
17.
Wang, Lei, et al.. (2001). Neurotrophins promote bone marrow stromal cells (MSCs) to express neural proteins in vitro. Stroke. 32. 334–334. 1 indexed citations
18.
Zhang, Li, Jieli Chen, Yi Li, Zheng Gang Zhang, & Michael Chopp. (2000). Quantitative measurement of motor and somatosensory impairments after mild (30 min) and severe (2 h) transient middle cerebral artery occlusion in rats. Journal of the Neurological Sciences. 174(2). 141–146. 104 indexed citations
20.
Wang, Lei, Yi Li, Jieli Chen, & Michael Chopp. (2000). Bone marrow stromal cells of bcl-2 transgenic mice express widespread Bcl-2 protein and reduce apoptosis in a serum-free medium. Stroke. 32. 380–380. 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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