Jinglu Ai

2.5k total citations
62 papers, 2.0k citations indexed

About

Jinglu Ai is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jinglu Ai has authored 62 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Neurology, 21 papers in Molecular Biology and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jinglu Ai's work include Traumatic Brain Injury and Neurovascular Disturbances (32 papers), Intracranial Aneurysms: Treatment and Complications (27 papers) and Neuroscience and Neuropharmacology Research (16 papers). Jinglu Ai is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (32 papers), Intracranial Aneurysms: Treatment and Complications (27 papers) and Neuroscience and Neuropharmacology Research (16 papers). Jinglu Ai collaborates with scholars based in Canada, United States and Denmark. Jinglu Ai's co-authors include Mohammed Sabri, R. Loch Macdonald, Andrew Baker, R. Loch Macdonald, Asma Tariq, Mogens Brøndsted Nielsen, Gang Chen, Xueyuan Shang, Josephine A. D’Abbondanza and Olov Sterner and has published in prestigious journals such as PLoS ONE, Brain and Stroke.

In The Last Decade

Jinglu Ai

60 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinglu Ai Canada 30 1.2k 572 384 314 242 62 2.0k
Sudhakar Subramaniam United States 11 798 0.7× 570 1.0× 477 1.2× 422 1.3× 157 0.6× 19 1.7k
Asako Yoritaka Japan 20 1.2k 1.0× 690 1.2× 584 1.5× 311 1.0× 214 0.9× 48 2.2k
Randy L. Hunter United States 17 564 0.5× 443 0.8× 484 1.3× 505 1.6× 94 0.4× 19 1.4k
Shenggang Sun China 23 494 0.4× 569 1.0× 498 1.3× 401 1.3× 157 0.6× 88 1.9k
Masakazu Ibi Japan 25 372 0.3× 627 1.1× 550 1.4× 236 0.8× 186 0.8× 46 2.2k
Lingyun Wu China 25 624 0.5× 757 1.3× 102 0.3× 559 1.8× 216 0.9× 52 1.8k
Anmu Xie China 25 743 0.6× 723 1.3× 397 1.0× 350 1.1× 204 0.8× 99 2.1k
Judes Poirier Canada 25 417 0.4× 601 1.1× 350 0.9× 191 0.6× 171 0.7× 43 1.9k
Haiyan Zhou China 23 646 0.6× 473 0.8× 362 0.9× 213 0.7× 223 0.9× 104 1.6k
Kyoon Huh South Korea 24 311 0.3× 337 0.6× 339 0.9× 206 0.7× 324 1.3× 62 1.6k

Countries citing papers authored by Jinglu Ai

Since Specialization
Citations

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

Fields of papers citing papers by Jinglu Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglu Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglu Ai. A scholar is included among the top collaborators of Jinglu Ai 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 Jinglu Ai. Jinglu Ai 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.
Rahmani, Redi, Takeshi Miyamoto, Yoshinobu Kamio, et al.. (2024). Vitamin D deficiency promotes intracranial aneurysm rupture. Journal of Cerebral Blood Flow & Metabolism. 44(7). 1174–1183. 2 indexed citations
2.
Furukawa, Hajime, Hiroki Sato, Daisuke Kudo, et al.. (2024). Pharmacological Inhibition of Epidermal Growth Factor Receptor Prevents Intracranial Aneurysm Rupture by Reducing Endoplasmic Reticulum Stress. Hypertension. 81(3). 572–581.
3.
Sato, Hiroki, et al.. (2023). Abstract TP213: Aging Promotes The Rupture Of Intracranial Aneurysm In Mice. Stroke. 54(Suppl_1).
4.
Korai, Masaaki, James W. Purcell, Yoshinobu Kamio, et al.. (2021). Neutrophil Extracellular Traps Promote the Development of Intracranial Aneurysm Rupture. Hypertension. 77(6). 2084–2093. 38 indexed citations
5.
Tso, Michael K., Paul J. Turgeon, Bert Bosche, et al.. (2021). Gene expression profiling of brain endothelial cells after experimental subarachnoid haemorrhage. Scientific Reports. 11(1). 7818–7818. 7 indexed citations
6.
Wan, Hoyee, Jinglu Ai, Heyu Ni, et al.. (2018). Role of von Willebrand factor and ADAMTS‐13 in early brain injury after experimental subarachnoid hemorrhage. Journal of Thrombosis and Haemostasis. 16(7). 1413–1422. 16 indexed citations
7.
Tso, Michael K., Elliot Lass, Jinglu Ai, & R. Loch Macdonald. (2014). Valproic Acid Treatment After Experimental Subarachnoid Hemorrhage. Acta neurochirurgica. Supplementum. 120. 81–85. 7 indexed citations
8.
Sabri, Mohammed, et al.. (2012). Mechanisms of Microthrombosis and Microcirculatory Constriction After Experimental Subarachnoid Hemorrhage. Acta neurochirurgica. Supplementum. 115. 185–192. 32 indexed citations
9.
Zoerle, Tommaso, Don Ilodigwe, Hoyee Wan, et al.. (2012). Pharmacologic Reduction of Angiographic Vasospasm in Experimental Subarachnoid Hemorrhage: Systematic Review. Acta neurochirurgica. Supplementum. 115. 247–251. 2 indexed citations
10.
Sabri, Mohammed, Jinglu Ai, & R. Loch Macdonald. (2011). Nitric Oxide Related Pathophysiological Changes Following Subarachnoid Haemorrhage. PubMed. 110(Pt 1). 105–109. 8 indexed citations
11.
Ai, Jinglu, et al.. (2011). Developing a Model of Chronic Subdural Hematoma. Acta neurochirurgica. Supplementum. 111. 25–29. 19 indexed citations
12.
Ai, Jinglu, et al.. (2010). Learning deficits after experimental subarachnoid hemorrhage in rats. Neuroscience. 169(4). 1805–1814. 56 indexed citations
13.
Nikitina, Elena, Masataka Takahashi, Zhen‐Du Zhang, et al.. (2010). Alteration in voltage-dependent calcium channels in dog basilar artery after subarachnoid hemorrhage. Journal of neurosurgery. 113(4). 870–880. 23 indexed citations
14.
Chen, Gang, Shiming Zhang, Ji‐Xin Shi, Jinglu Ai, & Chun‐Hua Hang. (2009). Effects of recombinant human erythropoietin (rhEPO) on JAK2/STAT3 pathway and endothelial apoptosis in the rabbit basilar artery after subarachnoid hemorrhage. Cytokine. 45(3). 162–168. 45 indexed citations
15.
Ai, Jinglu, et al.. (2009). Neurological and neurobehavioral assessment of experimental subarachnoid hemorrhage. BMC Neuroscience. 10(1). 103–103. 88 indexed citations
16.
Chen, Gang, Shiming Zhang, Ji‐Xin Shi, et al.. (2009). Simvastatin reduces secondary brain injury caused by cortical contusion in rats: Possible involvement of TLR4/NF-κB pathway. Experimental Neurology. 216(2). 398–406. 112 indexed citations
17.
Jahromi, Babak S., Yasuo Aihara, Jinglu Ai, et al.. (2008). Temporal profile of potassium channel dysfunction in cerebrovascular smooth muscle after experimental subarachnoid haemorrhage. Neuroscience Letters. 440(1). 81–86. 10 indexed citations
18.
Park, Eugene, Jinglu Ai, & Andrew Baker. (2007). Cerebellar injury: clinical relevance and potential in traumatic brain injury research. Progress in brain research. 161. 327–338. 26 indexed citations
19.
Ai, Jinglu, Elaine Liu, Eugene Park, & Andrew Baker. (2006). Structural and functional alterations of cerebellum following fluid percussion injury in rats. Experimental Brain Research. 177(1). 95–112. 12 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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