Jinghong Kou

703 total citations
16 papers, 598 citations indexed

About

Jinghong Kou is a scholar working on Neurology, Physiology and Immunology. According to data from OpenAlex, Jinghong Kou has authored 16 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 10 papers in Physiology and 5 papers in Immunology. Recurrent topics in Jinghong Kou's work include Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Immune Response and Inflammation (4 papers). Jinghong Kou is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Immune Response and Inflammation (4 papers). Jinghong Kou collaborates with scholars based in United States, France and China. Jinghong Kou's co-authors include Ken-ichiro Fukuchi, Jeong-Eun Lim, Robert Lalonde, Min Song, Abhinandan Pattanayak, Jingji Jin, Junling Yang, Hong‐Duck Kim, Kazuki Tahara and Jamaal Rehman and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and American Journal Of Pathology.

In The Last Decade

Jinghong Kou

16 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinghong Kou United States 12 333 287 186 174 107 16 598
Muxian Zhang China 5 423 1.3× 325 1.1× 222 1.2× 209 1.2× 94 0.9× 6 736
Selina Imboywa United States 4 301 0.9× 363 1.3× 233 1.3× 108 0.6× 82 0.8× 5 625
Mengqi Xia United States 6 416 1.2× 409 1.4× 254 1.4× 218 1.3× 90 0.8× 9 841
Juan E. Tichauer Chile 11 310 0.9× 182 0.6× 174 0.9× 161 0.9× 61 0.6× 17 611
Ron Strohmeyer United States 7 371 1.1× 412 1.4× 190 1.0× 122 0.7× 60 0.6× 8 656
Alexander A. Loboda United States 4 604 1.8× 319 1.1× 219 1.2× 390 2.2× 95 0.9× 5 897
Xianyuan Xiang Germany 10 588 1.8× 286 1.0× 160 0.9× 355 2.0× 68 0.6× 16 822
Shun‐Fat Lau Hong Kong 9 289 0.9× 204 0.7× 204 1.1× 106 0.6× 60 0.6× 10 504
Kazuki Tahara United States 7 221 0.7× 218 0.8× 168 0.9× 156 0.9× 60 0.6× 7 493
Cathrin Schnack Germany 12 147 0.4× 279 1.0× 272 1.5× 104 0.6× 72 0.7× 15 671

Countries citing papers authored by Jinghong Kou

Since Specialization
Citations

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

Fields of papers citing papers by Jinghong Kou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinghong Kou

This figure shows the co-authorship network connecting the top 25 collaborators of Jinghong Kou. A scholar is included among the top collaborators of Jinghong Kou 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 Jinghong Kou. Jinghong Kou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Yang, Junling, et al.. (2020). Lipopolysaccharide-Induced Exosomal miR-146a Is Involved in Altered Expression of Alzheimer’s Risk Genes Via Suppression of TLR4 Signaling. Journal of Molecular Neuroscience. 71(6). 1245–1255. 25 indexed citations
2.
Yang, Junling, Jinghong Kou, Robert Lalonde, & Ken-ichiro Fukuchi. (2017). Intracranial IL-17A overexpression decreases cerebral amyloid angiopathy by upregulation of ABCA1 in an animal model of Alzheimer’s disease. Brain Behavior and Immunity. 65. 262–273. 40 indexed citations
3.
Go, Michelle Sy, Jinghong Kou, Jeong-Eun Lim, Junling Yang, & Ken-ichiro Fukuchi. (2016). Microglial response to LPS increases in wild-type mice during aging but diminishes in an Alzheimer's mouse model: Implication of TLR4 signaling in disease progression. Biochemical and Biophysical Research Communications. 479(2). 331–337. 72 indexed citations
4.
Yang, Junling, Jinghong Kou, Jeong-Eun Lim, Robert Lalonde, & Ken-ichiro Fukuchi. (2015). Intracranial delivery of interleukin-17A via adeno-associated virus fails to induce physical and learning disabilities and neuroinflammation in mice but improves glucose metabolism through AKT signaling pathway. Brain Behavior and Immunity. 53. 84–95. 6 indexed citations
5.
Kou, Jinghong, Junling Yang, Jeong-Eun Lim, et al.. (2014). Catalytic Immunoglobulin Gene Delivery in a Mouse Model of Alzheimer’s Disease: Prophylactic and Therapeutic Applications. Molecular Neurobiology. 51(1). 43–56. 19 indexed citations
6.
Yang, Junling, Abhinandan Pattanayak, Min Song, et al.. (2012). Muscle-Directed Anti-Aβ Single-Chain Antibody Delivery via AAV1 Reduces Cerebral Aβ Load in an Alzheimer’s Disease Mouse Model. Journal of Molecular Neuroscience. 49(2). 277–288. 19 indexed citations
7.
Kou, Jinghong, Min Song, Abhinandan Pattanayak, et al.. (2012). Combined treatment of Aβ immunization with statin in a mouse model of Alzheimer's disease. Journal of Neuroimmunology. 244(1-2). 70–83. 11 indexed citations
8.
Lim, Jeong-Eun, Jinghong Kou, Min Song, et al.. (2011). MyD88 Deficiency Ameliorates β-Amyloidosis in an Animal Model of Alzheimer's Disease. American Journal Of Pathology. 179(3). 1095–1103. 56 indexed citations
9.
Kou, Jinghong, Hong-Duck Kim, Abhinandan Pattanayak, et al.. (2011). Anti-Amyloid-β Single-Chain Antibody Brain Delivery Via AAV Reduces Amyloid Load But May Increase Cerebral Hemorrhages in an Alzheimer's Disease Mouse Model. Journal of Alzheimer s Disease. 27(1). 23–38. 29 indexed citations
10.
Song, Min, et al.. (2011). The effects of MyD88 deficiency on exploratory activity, anxiety, motor coordination, and spatial learning in C57BL/6 and APPswe/PS1dE9 mice. Behavioural Brain Research. 227(1). 36–42. 28 indexed citations
11.
Song, Min, Jingji Jin, Jeong-Eun Lim, et al.. (2011). TLR4 mutation reduces microglial activation, increases Aβ deposits and exacerbates cognitive deficits in a mouse model of Alzheimer's disease. Journal of Neuroinflammation. 8(1). 92–92. 243 indexed citations
12.
Kou, Jinghong, et al.. (2010). Simvastatin enhances immune responses to Aβ vaccination and attenuates vaccination-induced behavioral alterations. Brain Research. 1356. 102–111. 7 indexed citations
13.
Kou, Jinghong, et al.. (2007). Neurotoxicity in murine striatal dopaminergic pathways following long-term application of low doses of permethrin and MPTP. Toxicology Letters. 171(3). 154–161. 14 indexed citations
14.
Kou, Jinghong & Masami Yoshimura. (2007). Isoform‐Specific Enhancement of Adenylyl Cyclase Activity by n‐Alkanols. Alcoholism Clinical and Experimental Research. 31(9). 1467–1472. 10 indexed citations
15.
Kou, Jinghong, David C. Klorig, & Jeffrey R. Bloomquist. (2006). Potentiating effect of the ATP-sensitive potassium channel blocker glibenclamide on complex I inhibitor neurotoxicity in vitro and in vivo. NeuroToxicology. 27(5). 826–834. 13 indexed citations
16.
Kou, Jinghong, et al.. (2005). Neurotoxicity in murine striatal dopaminergic pathways following co-application of permethrin, chlorpyrifos, and MPTP. Pesticide Biochemistry and Physiology. 85(2). 68–75. 6 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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