Wayne Tsang

1.2k citations
8 papers · 1.0k · h-index 8

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments

Papers in

Wayne Tsang

8 papers receiving 1000 citations

Peers

Wayne Tsang
Comparison fields: 5 of 76
  • Developmental Neuroscience 155
  • Neurology 277
  • Cancer Research 133
  • Cellular and Molecular Neuroscience 166
  • Genetics 84
Replace Kenneth Davies with:
Kenneth Davies United States
Qingjiang Li United States
Satoru Ishibashi Japan
Takeru Hamashima Japan
Patrick Ventura United States
J Kałuza Poland
Anil Zechariah Germany
Amin Boroujerdi United States
Hahn-Young Kim South Korea
Friederike Knerlich‐Lukoschus Germany
Wayne Tsang relative to Kenneth Davies United States Kenneth Davies's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Wayne Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Wayne Tsang, 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 Wayne Tsang Line = papers co-authored together Wayne Tsang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2002354
2 2002321
3 1999108
4 200187
5 200171
6 199963
7 200412
8 199911

About Wayne Tsang

Wayne Tsang is a scholar working on Epidemiology, Neurology, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (4 papers), Acute Ischemic Stroke Management (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Axon Guidance and Neuronal Signaling (1 paper), MRI in cancer diagnosis (1 paper), Protease and Inhibitor Mechanisms (1 paper) and Blood Coagulation and Thrombosis Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (155 citations), Neurology (277 citations), Cancer Research (133 citations), Cellular and Molecular Neuroscience (166 citations) and Genetics (84 citations). Wayne Tsang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Michael Chopp, Ruilan Zhang, Zheng Gang Zhang, Cecylia Powers, Daniel C. Morris, Anton Goussev, Zhenggang Zhang, Ying Wang, Li Zhang and Lijie Zhang. Their work appears in journals such as Brain Research, Journal of Cerebral Blood Flow & Metabolism, Neuroreport, Stroke and Journal of Neuroscience.

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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