William Tsao

558 citations
10 papers · 365 · h-index 8

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Neurogenetic and Muscular Disorders Research 6
    • Amyotrophic Lateral Sclerosis Research 6

William Tsao

10 papers receiving 353 citations

Peers

William Tsao
Comparison fields: 5 of 68
  • Neurology 144
  • Genetics 95
  • Biomaterials 70
  • Neurology 23
  • Molecular Biology 180
Replace Agnese Ramirez with:
Agnese Ramirez Italy
Joyoti Dey United States
Stefania Marcuzzo Italy
Elysse A. Orchard United States
Antonio Vallarola Italy
Cinzia Bragato Italy
Haiping He China
Lorenzo Schiaffino Italy
Cungang Fan China
William Tsao relative to Agnese Ramirez Italy Agnese Ramirez's profile →
Citations per field
00.5×1.5×
Agnese Ramirez · 1×
Citations per year

Countries citing papers authored by William Tsao

Since Specialization
Citations

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

Fields of papers citing papers by William Tsao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Tsao, 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 William Tsao Line = papers co-authored together William Tsao links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2004118
2 201291
3 201739
4 202234
5 200434
6 202015
7 201913
8 202410
9 20077
10 20194

About William Tsao

William Tsao is a scholar working on Genetics, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Physiology, having authored 10 papers that have together received 365 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (6 papers), Genetic Neurodegenerative Diseases (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Poisoning and overdose treatments (1 paper), Allergic Rhinitis and Sensitization (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Dermatology and Skin Diseases (1 paper). The work is most often cited by research in Neurology (144 citations), Genetics (95 citations), Biomaterials (70 citations), Neurology (23 citations) and Molecular Biology (180 citations). William Tsao has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Tamara Minko, Vitaly P. Pozharov, Refika I. Pakunlu, Philip C. Wong, Yang Wang, Thomas J. Cook, Jonathan P. Ling, Donald L. Price, Yun Ha Jeong and Po‐Min Chiang. Their work appears in journals such as Experimental Neurology, Science Translational Medicine, Allergy, Medicine and Molecular Pharmaceutics.

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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