Simon Yu
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 5%
- interferon and immune responses
- Phagocytosis and Immune Regulation
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Anitha Kannan (2 shared papers)Ross Chapman (1 shared paper)Samuel C. Forster (1 shared paper)Helen E. Cumming (1 shared paper)Marion Massé (1 shared paper)Paul J. Hertzog (1 shared paper)Monica Driscoll (2 shared papers)Donald G. Payan (5 shared papers)
- Journals
- Journal of Proteome Research (2 papers)Journal of Biological Chemistry (2 papers)Cancer Research (1 paper)Microvascular Research (1 paper)Experimental Gerontology (1 paper)
- Partner nations
- United StatesAustraliaAustria
In The Last Decade
Simon Yu
13 papers receiving 1.3k citations
Simon Yu's Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 75
- Immunology 623
- Virology 75
- Oncology 241
- Molecular Biology 541
Countries citing papers authored by Simon Yu
This map shows the geographic impact of Simon Yu'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 Simon Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Yu more than expected).
Fields of papers citing papers by Simon Yu
This network shows the impact of papers produced by Simon Yu. 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 Simon Yu. The network helps show where Simon Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Yu, 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 | INTERFEROME v2.0: an updated database of annotated interferon-regulated genes Hit paper breakdown → | 2012 | 699 |
| 2 | 2005 | 169 | |
| 3 | 2010 | 78 | |
| 4 | 2004 | 63 | |
| 5 | 2003 | 61 | |
| 6 | 2015 | 53 | |
| 7 | 2004 | 52 | |
| 8 | 2001 | 51 | |
| 9 | 2004 | 35 | |
| 10 | 1980 | 27 | |
| 11 | 2010 | 26 | |
| 12 | 2012 | 24 | |
| 13 | 2020 | 17 |
About Simon Yu
Simon Yu is a scholar working on Aging, Immunology, Endocrine and Autonomic Systems, Molecular Biology and Spectroscopy, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Circadian rhythm and melatonin (2 papers), T-cell and B-cell Immunology (2 papers), Spaceflight effects on biology (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Immune Cell Function and Interaction (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Aging (75 citations), Immunology (623 citations), Virology (75 citations), Oncology (241 citations) and Molecular Biology (541 citations). Simon Yu has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Anitha Kannan, Ross Chapman, Samuel C. Forster, Helen E. Cumming, Marion Massé, Paul J. Hertzog, Monica Driscoll, Donald G. Payan, Jian Xue and Hiroaki Iwasa. Their work appears in journals such as Journal of Proteome Research, Journal of Biological Chemistry, Cancer Research, Microvascular Research and Experimental Gerontology.
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.