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
-
- Ubiquitin and proteasome pathways 2
- Single-cell and spatial transcriptomics 1
- Advanced biosensing and bioanalysis techniques 1
-
- Immune Cell Function and Interaction 2
- Co-authors
- Anitha Kannan (2 shared papers)Helen Cumming (1 shared paper)Samuel C. Forster (1 shared paper)Paul J. Hertzog (1 shared paper)Marion Massé (1 shared paper)Ross Chapman (1 shared paper)Monica Driscoll (2 shared papers)Donald G. Payan (5 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Communications Biology (2 papers)The Journal of Immunology (1 paper)Journal of Proteome Research (1 paper)Microvascular Research (1 paper)
- Partner nations
- United StatesAustraliaAustria
In The Last Decade
Simon Yu
12 papers receiving 1.1k citations
Simon Yu's Hit Papers
Peers
Comparison fields: 5 of 96
- Aging 69
- Immunology 587
- Virology 71
- Oncology 233
- Molecular Biology 474
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 | 610 |
| 2 | 2005 | 161 | |
| 3 | 2010 | 72 | |
| 4 | 2004 | 61 | |
| 5 | 2003 | 57 | |
| 6 | 2004 | 51 | |
| 7 | 2004 | 34 | |
| 8 | 1980 | 26 | |
| 9 | 2012 | 22 | |
| 10 | 2010 | 20 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 2 |
About Simon Yu
Simon Yu is a scholar working on Molecular Biology, Immunology, Endocrine and Autonomic Systems, Oncology and Physiology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spaceflight effects on biology (2 papers), Ubiquitin and proteasome pathways (2 papers), Circadian rhythm and melatonin (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Immune Cell Function and Interaction (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Aging (69 citations), Immunology (587 citations), Virology (71 citations), Oncology (233 citations) and Molecular Biology (474 citations). Simon Yu has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Anitha Kannan, Helen Cumming, Samuel C. Forster, Paul J. Hertzog, Marion Massé, Ross Chapman, Monica Driscoll, Donald G. Payan, Hiroaki Iwasa and Jian Xue. Their work appears in journals such as Journal of Biological Chemistry, Communications Biology, The Journal of Immunology, Journal of Proteome Research and Microvascular Research.
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.