Jason Kwan

400 citations
8 papers · 327 · h-index 7

Impact in

  • Neurology top 10%
    • Peripheral Neuropathies and Disorders
    • Neurological Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
    • Multiple Sclerosis Research Studies

Papers in

Jason Kwan

7 papers receiving 323 citations

Peers

Jason Kwan
Comparison fields: 5 of 59
  • Neurology 72
  • Pathology and Forensic Medicine 99
  • Neurology 78
  • Physiology 92
  • Biological Psychiatry 8
Replace Ф. А. Хабиров with:
Ф. А. Хабиров Russia
Grigorios Kalaitzidis United States
Franziska Bachhuber Germany
Johan Keppens Belgium
A. Ammendola Italy
Doortje Dekens Netherlands
Hitaru Kishida Japan
Megan A. Iida United States
Laura Turpín‐Fenoll Spain
Jenna L. Gollihue United States
Jason Kwan relative to Ф. А. Хабиров Russia Ф. А. Хабиров's profile →
Citations per field
00.5×3.0×
Ф. А. Хабиров · 1×
Citations per year

Countries citing papers authored by Jason Kwan

Since Specialization
Citations

This map shows the geographic impact of Jason 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 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 Kwan more than expected).

Fields of papers citing papers by Jason Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jason Kwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jason Kwan Line = papers co-authored together Jason Kwan links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2012148
2 201252
3 201041
4 200833
5 201022
6 201216
7 201115
8
Adiponectin gene therapy for Alzheimer disease in a mouse model: abridged secondary publication.
20200

About Jason Kwan

Jason Kwan is a scholar working on Pathology and Forensic Medicine, Physiology, Pharmacology, Neurology and Rheumatology, having authored 8 papers that have together received 327 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (4 papers), Alzheimer's disease research and treatments (2 papers), Vitamin C and Antioxidants Research (1 paper), Computational Drug Discovery Methods (1 paper), Nutrition, Genetics, and Disease (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Myasthenia Gravis and Thymoma (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Neurology (72 citations), Pathology and Forensic Medicine (99 citations), Neurology (78 citations), Physiology (92 citations) and Biological Psychiatry (8 citations). Jason Kwan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Philip Wing‐Lok Ho, Andrew Chu, Marwan N. Sabbagh, Jesse M. Hunter, Tyler A. Kokjohn, Michael Malek‐Ahmadi, Chera L. Maarouf, Christine M. Belden, Alex E. Roher and Thomas G. Beach. Their work appears in journals such as Journal of Neuroimmunology, European Journal of Neurology, Journal of Neuroinflammation, Biochemical and Biophysical Research Communications and Clinical Neurology and Neurosurgery.

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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