Wayne To
Impact in
- Immunology top 1%
- Psoriasis: Treatment and Pathogenesis
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Dermatology top 1%
- Dermatology and Skin Diseases
Papers in
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- T-cell and B-cell Immunology 2
-
- Protein purification and stability 1
- Co-authors
- Jonathon D. Sedgwick (2 shared papers)Sérgio A. Lira (1 shared paper)Yi Chen (1 shared paper)Brian W. P. Seymour (1 shared paper)Linda Lucian (1 shared paper)Jonathan Sherlock (1 shared paper)Tatyana Churakova (1 shared paper)Sandra Zurawski (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Nature Medicine (1 paper)Nature (1 paper)Current Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Wayne To
6 papers receiving 3.6k citations
Wayne To's Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 2.4k
- Dermatology 447
- Immunology and Allergy 186
- Pathology and Forensic Medicine 489
- Oncology 663
Countries citing papers authored by Wayne To
This map shows the geographic impact of Wayne To'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 To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne To more than expected).
Fields of papers citing papers by Wayne To
This network shows the impact of papers produced by Wayne To. 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 To. The network helps show where Wayne To may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne To, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Interleukin-23 rather than interleukin-12 is the critical cytokine for autoimmune inflammation of the brain Hit paper breakdown → | 2003 | 2297 |
| 2 | CCL27–CCR10 interactions regulate T cell–mediated skin inflammation Hit paper breakdown → | 2002 | 592 |
| 3 | 2009 | 340 | |
| 4 | 1999 | 224 | |
| 5 | 2005 | 158 | |
| 6 | 2010 | 40 |
About Wayne To
Wayne To is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Dermatology, having authored 6 papers that have together received 3.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers), Pancreatic function and diabetes (1 paper), Cell Image Analysis Techniques (1 paper), Diabetes Management and Research (1 paper), Protein purification and stability (1 paper), Dermatology and Skin Diseases (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Immunology (2.4k citations), Dermatology (447 citations), Immunology and Allergy (186 citations), Pathology and Forensic Medicine (489 citations) and Oncology (663 citations). Wayne To has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Jonathon D. Sedgwick, Sérgio A. Lira, Yi Chen, Brian W. P. Seymour, Linda Lucian, Jonathan Sherlock, Tatyana Churakova, Sandra Zurawski, Maria Wiekowski and Daniel M. Gorman. Their work appears in journals such as Nature Biotechnology, Nature Medicine, Nature, Current Biology and PLoS ONE.
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.