Jason Shing-Cheong Kwan

734 total citations
9 papers, 550 citations indexed

About

Jason Shing-Cheong Kwan is a scholar working on Neurology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Jason Shing-Cheong Kwan has authored 9 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Epidemiology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jason Shing-Cheong Kwan's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Multiple Sclerosis Research Studies (3 papers). Jason Shing-Cheong Kwan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Multiple Sclerosis Research Studies (3 papers). Jason Shing-Cheong Kwan collaborates with scholars based in Hong Kong, China and Macao. Jason Shing-Cheong Kwan's co-authors include Roy Chun-Laam Ng, Min Jian, Koon Ho Chan, Karen S.L. Lam, Sookja Kim Chung, Koon‐Ho Chan, Kenneth K.Y. Cheng, Philip Wing‐Lok Ho, Jessica Wing-Man Ho and Aimin Xu and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Molecular Psychiatry.

In The Last Decade

Jason Shing-Cheong Kwan

8 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Shing-Cheong Kwan Hong Kong 8 230 225 156 117 106 9 550
Dale Pavlovski Australia 5 147 0.6× 144 0.6× 115 0.7× 94 0.8× 72 0.7× 6 431
Jenna Bloemer United States 13 102 0.4× 185 0.8× 87 0.6× 168 1.4× 63 0.6× 20 599
Gemma Comes Spain 18 127 0.6× 388 1.7× 150 1.0× 304 2.6× 44 0.4× 28 908
Erica Acquarone United States 6 97 0.4× 198 0.9× 52 0.3× 136 1.2× 33 0.3× 11 497
Pongpan Tanajak Thailand 14 72 0.3× 249 1.1× 95 0.6× 355 3.0× 51 0.5× 16 820
Tomislav Santro Australia 6 74 0.3× 146 0.6× 193 1.2× 189 1.6× 38 0.4× 7 513
Gwangho Yoon South Korea 13 54 0.2× 175 0.8× 140 0.9× 164 1.4× 37 0.3× 18 535
Ines Stölting Germany 10 56 0.2× 301 1.3× 72 0.5× 251 2.1× 61 0.6× 19 601
A. Cárdenas Spain 8 65 0.3× 154 0.7× 205 1.3× 142 1.2× 34 0.3× 11 534
Yilong Shan China 14 126 0.5× 95 0.4× 213 1.4× 110 0.9× 14 0.1× 33 606

Countries citing papers authored by Jason Shing-Cheong Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Jason Shing-Cheong Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Shing-Cheong Kwan. 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 Jason Shing-Cheong Kwan. The network helps show where Jason Shing-Cheong Kwan may publish in the future.

Co-authorship network of co-authors of Jason Shing-Cheong Kwan

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

All Works

9 of 9 papers shown
1.
2.
Ng, Roy Chun-Laam, Min Jian, Jason Shing-Cheong Kwan, et al.. (2024). Liver-specific adiponectin gene therapy suppresses microglial NLRP3-inflammasome activation for treating Alzheimer’s disease. Journal of Neuroinflammation. 21(1). 77–77. 16 indexed citations
3.
Yick, Leung-Wah, et al.. (2023). T follicular helper cells contribute to pathophysiology in a model of neuromyelitis optica spectrum disorders. JCI Insight. 8(4). 7 indexed citations
4.
Yick, Leung-Wah, et al.. (2020). Memantine ameliorates motor impairments and pathologies in a mouse model of neuromyelitis optica spectrum disorders. Journal of Neuroinflammation. 17(1). 236–236. 27 indexed citations
5.
Ng, Roy Chun-Laam, Min Jian, Jason Shing-Cheong Kwan, et al.. (2020). Chronic oral administration of adipoRon reverses cognitive impairments and ameliorates neuropathology in an Alzheimer’s disease mouse model. Molecular Psychiatry. 26(10). 5669–5689. 66 indexed citations
6.
Jian, Min, et al.. (2019). Adiponectin suppresses amyloid-β oligomer (AβO)-induced inflammatory response of microglia via AdipoR1-AMPK-NF-κB signaling pathway. Journal of Neuroinflammation. 16(1). 110–110. 131 indexed citations
7.
Ng, Roy Chun-Laam, et al.. (2018). Aquaporin-4 Autoantibodies From Neuromyelitis Optica Spectrum Disorder Patients Induce Complement-Independent Immunopathologies in Mice. Frontiers in Immunology. 9. 1438–1438. 34 indexed citations
8.
Ng, Roy Chun-Laam, Min Jian, Jason Shing-Cheong Kwan, et al.. (2016). Chronic adiponectin deficiency leads to Alzheimer’s disease-like cognitive impairments and pathologies through AMPK inactivation and cerebral insulin resistance in aged mice. Molecular Neurodegeneration. 11(1). 71–71. 145 indexed citations
9.
Chan, Koon‐Ho, Karen S.L. Lam, Jason Shing-Cheong Kwan, et al.. (2012). Adiponectin is Protective against Oxidative Stress Induced Cytotoxicity in Amyloid-Beta Neurotoxicity. PLoS ONE. 7(12). e52354–e52354. 124 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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