Kevin She

883 total citations
21 papers, 680 citations indexed

About

Kevin She is a scholar working on Cellular and Molecular Neuroscience, Immunology and Neurology. According to data from OpenAlex, Kevin She has authored 21 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Immunology and 5 papers in Neurology. Recurrent topics in Kevin She's work include Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immunotherapy and Immune Responses (4 papers). Kevin She is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immunotherapy and Immune Responses (4 papers). Kevin She collaborates with scholars based in Canada, United States and Portugal. Kevin She's co-authors include Ann Marie Craig, Parisa Karimi Tari, Kurt Haas, Simon X. Chen, Kirk R. Schultz, Hiromi Shimizu, Gregor S. D. Reid, Steven A. Connor, Donna A. Wall and Tabrez J. Siddiqui and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Kevin She

20 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin She Canada 10 304 242 154 151 90 21 680
Orly Perl Israel 12 266 0.9× 382 1.6× 53 0.3× 151 1.0× 107 1.2× 15 851
Mina Ohadi Iran 18 197 0.6× 525 2.2× 143 0.9× 121 0.8× 106 1.2× 73 1.0k
Julio C. Siciliano France 13 294 1.0× 439 1.8× 42 0.3× 69 0.5× 102 1.1× 20 755
Gor Sarkisyan United States 10 240 0.8× 357 1.5× 26 0.2× 218 1.4× 52 0.6× 11 746
John M. Proctor United States 6 433 1.4× 429 1.8× 21 0.1× 334 2.2× 90 1.0× 6 1.0k
Lihong Shi United States 13 199 0.7× 223 0.9× 29 0.2× 51 0.3× 24 0.3× 27 664
Anna Migdalska‐Richards United Kingdom 11 131 0.4× 190 0.8× 125 0.8× 89 0.6× 283 3.1× 19 1.0k
S Tadokoro Japan 10 201 0.7× 326 1.3× 98 0.6× 35 0.2× 58 0.6× 13 562
Fiona M. Smart United States 8 167 0.5× 271 1.1× 24 0.2× 308 2.0× 121 1.3× 8 747
Olga Golonzhka United States 12 106 0.3× 442 1.8× 32 0.2× 118 0.8× 32 0.4× 17 717

Countries citing papers authored by Kevin She

Since Specialization
Citations

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

Fields of papers citing papers by Kevin She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin She

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin She. A scholar is included among the top collaborators of Kevin She 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 Kevin She. Kevin She 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.
Yuan, Naijun, Wenjun Zhu, Qingyu Ma, et al.. (2024). Luteolin ameliorates chronic stress-induced depressive-like behaviors in mice by promoting the Arginase-1+ microglial phenotype via a PPARγ-dependent mechanism. Acta Pharmacologica Sinica. 46(3). 575–591. 9 indexed citations
2.
She, Kevin, Naijun Yuan, Minyi Huang, et al.. (2024). Emerging role of microglia in the developing dopaminergic system: Perturbation by early life stress. Neural Regeneration Research. 21(1). 126–140. 5 indexed citations
3.
Zhao, Hongyun, Shun Zheng, Yi Ma, et al.. (2021). 43P Assessment of biomarker kinetics for ADG106 (anti-CD137 agonist) as monotherapy or combined with toripalimab. Annals of Oncology. 32. S1389–S1390. 1 indexed citations
4.
Richardson, Gary, Francis Parnis, Anis Hamid, et al.. (2021). 137P Phase I dose-finding study of a novel anti-CTLA-4 antibody ADG116 as monotherapy in patients with advanced solid tumors. Annals of Oncology. 32. S1436–S1437. 1 indexed citations
5.
Lancaster, Jason W., Laura McAuliffe, Elizabeth A. O’Gara, et al.. (2020). Impact of antibiotic choice on readmission in adults experiencing an acute COPD exacerbation. American Journal of Health-System Pharmacy. 78(Supplement_1). S26–S32. 4 indexed citations
6.
Vieira, Marta, Joana S. Ferreira, Kevin She, et al.. (2015). Multiple domains in the C-terminus of NMDA receptor GluN2B subunit contribute to neuronal death following in vitro ischemia. Neurobiology of Disease. 89. 223–234. 35 indexed citations
7.
Siddiqui, Tabrez J., Parisa Karimi Tari, Steven A. Connor, et al.. (2013). An LRRTM4-HSPG Complex Mediates Excitatory Synapse Development on Dentate Gyrus Granule Cells. Neuron. 79(4). 680–695. 137 indexed citations
8.
Milnerwood, Austen J., Marja D. Sepers, Kevin She, et al.. (2012). Opposing Roles of Synaptic and Extrasynaptic NMDA Receptor Signaling in Cocultured Striatal and Cortical Neurons. Journal of Neuroscience. 32(12). 3992–4003. 108 indexed citations
9.
She, Kevin, Jacqueline K. Rose, & Ann Marie Craig. (2012). Differential stimulus-dependent synaptic recruitment of CaMKIIα by intracellular determinants of GluN2B. Molecular and Cellular Neuroscience. 51(3-4). 68–78. 8 indexed citations
10.
She, Kevin, Joana S. Ferreira, Ana Luı́sa Carvalho, & Ann Marie Craig. (2012). Glutamate Binding to the GluN2B Subunit Controls Surface Trafficking of N-Methyl-d-aspartate (NMDA) Receptors*. Journal of Biological Chemistry. 287(33). 27432–27445. 30 indexed citations
11.
Ferreira, Joana S., et al.. (2011). Activity and Protein Kinase C Regulate Synaptic Accumulation of N-Methyl-d-aspartate (NMDA) Receptors Independently of GluN1 Splice Variant. Journal of Biological Chemistry. 286(32). 28331–28342. 9 indexed citations
12.
She, Kevin & Ann Marie Craig. (2011). NMDA Receptors Mediate Synaptic Competition in Culture. PLoS ONE. 6(9). e24423–e24423. 5 indexed citations
13.
Chen, Simon X., Parisa Karimi Tari, Kevin She, & Kurt Haas. (2010). Neurexin-Neuroligin Cell Adhesion Complexes Contribute to Synaptotropic Dendritogenesis via Growth Stabilization Mechanisms In Vivo. Neuron. 67(6). 967–983. 90 indexed citations
14.
Fujii, Hisaki, Geoff D.E. Cuvelier, Kevin She, et al.. (2007). Biomarkers in newly diagnosed pediatric-extensive chronic graft-versus-host disease: a report from the Children's Oncology Group. Blood. 111(6). 3276–3285. 104 indexed citations
15.
She, Kevin, Andrew L. Gilman, Hiromi Shimizu, et al.. (2007). Altered Toll-Like Receptor 9 Responses in Circulating B Cells at the Onset of Extensive Chronic Graft-versus-Host Disease. Biology of Blood and Marrow Transplantation. 13(4). 386–397. 65 indexed citations
16.
Corthals, Sophie L., et al.. (2005). Differential immune effects mediated by Toll‐like receptors stimulation in precursor B‐cell acute lymphoblastic leukaemia. British Journal of Haematology. 132(4). 452–458. 24 indexed citations
17.
She, Kevin, et al.. (2005). Increased TLR9 Responses in B Cells at the Onset of Chronic GVHD. Journal of Pediatric Hematology/Oncology. 27(9). 468–468. 1 indexed citations
19.
She, Kevin, Andrew L. Gilman, & Kirk R. Schultz. (2004). An Exaggerated B Cell CpG Response in Human Chronic Graft-versus-Host Disease: A Potential Mechanism and Biomarker for Diagnosis of Chronic GVHD.. Blood. 104(11). 4966–4966. 1 indexed citations
20.
She, Kevin. (2003). So you want to Work with Giants: The BAC Vector. 9 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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