Calvin Yu
Impact in
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- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Immunodeficiency and Autoimmune Disorders 1
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- Connexins and lens biology 1
- Protein Tyrosine Phosphatases 1
- Co-authors
- Anthony DeFranco (2 shared papers)T. S. Benedict Yen (1 shared paper)Clifford A. Lowell (1 shared paper)Mani Larijani (2 shared papers)Lap‐Chee Tsui (1 shared paper)Martin L. Breitman (1 shared paper)Alusha A. Mamchak (1 shared paper)Animesh Garg (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)The Journal of Immunology (1 paper)Nucleic Acids Research (1 paper)Current Biology (1 paper)Seminars in Immunology (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Calvin Yu
7 papers receiving 270 citations
Calvin Yu's Hit Papers
Peers
Comparison fields: 5 of 72
- Nephrology 36
- Immunology 100
- Rheumatology 29
- Immunology and Allergy 9
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by Calvin Yu
This map shows the geographic impact of Calvin 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 Calvin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calvin Yu more than expected).
Fields of papers citing papers by Calvin Yu
This network shows the impact of papers produced by Calvin 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 Calvin Yu. The network helps show where Calvin Yu may publish in the future.
Co-authors
The 22 scholars most cited alongside Calvin 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 | 2001 | 92 | |
| 2 | Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments Hit paper breakdown → | 2023 | 89 |
| 3 | 1990 | 26 | |
| 4 | 1999 | 25 | |
| 5 | 2002 | 24 | |
| 6 | 1998 | 16 | |
| 7 | 1994 | 6 |
About Calvin Yu
Calvin Yu is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 278 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Connexins and lens biology (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Systemic Lupus Erythematosus Research (1 paper), Modular Robots and Swarm Intelligence (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Nephrology (36 citations), Immunology (100 citations), Rheumatology (29 citations), Immunology and Allergy (9 citations) and Computer Vision and Pattern Recognition (29 citations). Calvin Yu has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Anthony DeFranco, T. S. Benedict Yen, Clifford A. Lowell, Mani Larijani, Lap‐Chee Tsui, Martin L. Breitman, Alusha A. Mamchak, Animesh Garg, Yunrong Guo and Nikita Rudin. Their work appears in journals such as IEEE Robotics and Automation Letters, The Journal of Immunology, Nucleic Acids Research, Current Biology and Seminars in Immunology.
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.