Ruizhuo Ning

994 total citations
25 papers, 815 citations indexed

About

Ruizhuo Ning is a scholar working on Neurology, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Ruizhuo Ning has authored 25 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 8 papers in Epidemiology and 7 papers in Clinical Biochemistry. Recurrent topics in Ruizhuo Ning's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neurological Disease Mechanisms and Treatments (7 papers) and Acute Ischemic Stroke Management (7 papers). Ruizhuo Ning is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neurological Disease Mechanisms and Treatments (7 papers) and Acute Ischemic Stroke Management (7 papers). Ruizhuo Ning collaborates with scholars based in United States, China and Canada. Ruizhuo Ning's co-authors include Michael Chopp, Jieli Chen, Alex Zacharek, Tao Yan, Poornima Venkat, Xu Cui, Cynthia J. Roberts, Changsheng Qu, Ye Xiong and Asim Mahmood and has published in prestigious journals such as PLoS ONE, Stroke and Brain Research.

In The Last Decade

Ruizhuo Ning

25 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruizhuo Ning United States 19 294 272 194 155 154 25 815
Amjad Shehadah United States 19 242 0.8× 323 1.2× 117 0.6× 109 0.7× 148 1.0× 22 747
Toshinori Takagi Japan 19 283 1.0× 316 1.2× 207 1.1× 322 2.1× 146 0.9× 53 1.0k
Fengfeng Tian Japan 14 193 0.7× 357 1.3× 185 1.0× 113 0.7× 70 0.5× 17 704
Kuniyuki Nakamura Japan 19 518 1.8× 310 1.1× 175 0.9× 114 0.7× 58 0.4× 50 1.1k
Kaukab Maqbool Hassan India 7 269 0.9× 201 0.7× 163 0.8× 91 0.6× 169 1.1× 8 724
Ruidong Ye China 22 413 1.4× 509 1.9× 301 1.6× 290 1.9× 115 0.7× 49 1.5k
Xuying He China 18 218 0.7× 388 1.4× 178 0.9× 455 2.9× 115 0.7× 45 1.1k
Kazuhide Furuya Japan 16 205 0.7× 221 0.8× 100 0.5× 252 1.6× 105 0.7× 27 841
Lulu Wen China 16 191 0.6× 557 2.0× 118 0.6× 112 0.7× 92 0.6× 25 968
Deepti Navaratna United States 11 292 1.0× 347 1.3× 125 0.6× 97 0.6× 47 0.3× 12 883

Countries citing papers authored by Ruizhuo Ning

Since Specialization
Citations

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

Fields of papers citing papers by Ruizhuo Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruizhuo Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhuo Ning. A scholar is included among the top collaborators of Ruizhuo Ning 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 Ruizhuo Ning. Ruizhuo Ning 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.
Yu, Qian, Ruizhuo Ning, Aoxing Liu, et al.. (2024). 1296P A phase II study to evaluate the efficacy and safety of BB-1701 in advanced or metastatic NSCLC patients with HER2 mutation/amplification. Annals of Oncology. 35. S825–S825. 1 indexed citations
2.
Venkat, Poornima, Ruizhuo Ning, Alex Zacharek, et al.. (2020). Treatment with an Angiopoietin‐1 mimetic peptide promotes neurological recovery after stroke in diabetic rats. CNS Neuroscience & Therapeutics. 27(1). 48–59. 18 indexed citations
3.
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
4.
Yan, Tao, Poornima Venkat, Michael Chopp, et al.. (2018). APX3330 Promotes Neurorestorative Effects after Stroke in Type One Diabetic Rats. Aging and Disease. 9(3). 453–453. 14 indexed citations
5.
Wang, Jing, Ruizhuo Ning, & Yuping Wang. (2016). Plasma D-dimer Level, the Promising Prognostic Biomarker for the Acute Cerebral Infarction Patients. Journal of Stroke and Cerebrovascular Diseases. 25(8). 2011–2015. 36 indexed citations
6.
Yan, Tao, Poornima Venkat, Michael Chopp, et al.. (2016). Neurorestorative Responses to Delayed Human Mesenchymal Stromal Cells Treatment of Stroke in Type 2 Diabetic Rats. Stroke. 47(11). 2850–2858. 35 indexed citations
7.
Yan, Tao, Poornima Venkat, Michael Chopp, et al.. (2015). Neurorestorative Therapy of Stroke in Type 2 Diabetes Mellitus Rats Treated With Human Umbilical Cord Blood Cells. Stroke. 46(9). 2599–2606. 56 indexed citations
8.
Cui, Xu, Michael Chopp, Alex Zacharek, et al.. (2015). Deficiency of Brain ATP-Binding Cassette Transporter A-1 Exacerbates Blood–Brain Barrier and White Matter Damage After Stroke. Stroke. 46(3). 827–834. 47 indexed citations
9.
Yan, Tao, Poornima Venkat, Xinchun Ye, et al.. (2014). HUCBCs Increase Angiopoietin 1 and Induce Neurorestorative Effects after Stroke in T1DMRats. CNS Neuroscience & Therapeutics. 20(10). 935–944. 42 indexed citations
10.
Mali, Vishal, Ruizhuo Ning, Jieli Chen, et al.. (2014). Impairment of aldehyde dehydrogenase-2 by 4-hydroxy-2-nonenal adduct formation and cardiomyocyte hypertrophy in mice fed a high-fat diet and injected with low-dose streptozotocin. Experimental Biology and Medicine. 239(5). 610–618. 58 indexed citations
11.
Ding, Guangliang, Tao Yan, Jieli Chen, et al.. (2014). Persistent Cerebrovascular Damage After Stroke in Type Two Diabetic Rats Measured by Magnetic Resonance Imaging. Stroke. 46(2). 507–512. 36 indexed citations
12.
Yan, Tao, Michael Chopp, Ruizhuo Ning, et al.. (2013). Intracranial Aneurysm Formation in Type-One Diabetes Rats. PLoS ONE. 8(7). e67949–e67949. 14 indexed citations
13.
Ye, Xinchun, Tao Yan, Michael Chopp, et al.. (2013). Combination BMSC and Niaspan Treatment of Stroke Enhances White Matter Remodeling and Synaptic Protein Expression in Diabetic Rats. International Journal of Molecular Sciences. 14(11). 22221–22232. 16 indexed citations
14.
Cui, Xu, Michael Chopp, Alex Zacharek, et al.. (2013). Endothelial Nitric Oxide Synthase Regulates White Matter Changes via the BDNF/TrkB Pathway after Stroke in Mice. PLoS ONE. 8(11). e80358–e80358. 32 indexed citations
15.
Yan, Tao, Xinchun Ye, Michael Chopp, et al.. (2013). Niaspan Attenuates the Adverse Effects of Bone Marrow Stromal Cell Treatment of Stroke in Type One Diabetic Rats. PLoS ONE. 8(11). e81199–e81199. 19 indexed citations
16.
17.
Ning, Ruizhuo, Michael Chopp, Tao Yan, et al.. (2012). Tissue plasminogen activator treatment of stroke in type-1 diabetes rats. Neuroscience. 222. 326–332. 46 indexed citations
18.
Ning, Ruizhuo, Ye Xiong, Asim Mahmood, et al.. (2011). Erythropoietin promotes neurovascular remodeling and long-term functional recovery in rats following traumatic brain injury. Brain Research. 1384. 140–150. 34 indexed citations
19.
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
20.

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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