David Tak Yan Yu
- Immunology top 0.5%
- Rheumatology top 0.2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology top 10%
- Hematology top 1%
- Co-authors
- Henry G. KunkelRobert WinchesterShu Man FuH S KoPhilip J. ClementsHarold E. PaulusJames B. PeterJieruo Gu
- Topics
- Spondyloarthritis Studies and Treatments (45 papers)Rheumatoid Arthritis Research and Therapies (40 papers)T-cell and B-cell Immunology (26 papers)
- Cited by
- RheumatologyImmunologyHematology
- Partner nations
- United StatesGermanyChina
In The Last Decade
David Tak Yan Yu
118 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 112
- Immunology 2.5k
- Rheumatology 2.0k
- Radiology, Nuclear Medicine and Imaging 747
- Molecular Biology 737
- Hematology 722
Countries citing papers authored by David Tak Yan Yu
This map shows the geographic impact of David Tak Yan 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 David Tak Yan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tak Yan Yu more than expected).
Fields of papers citing papers by David Tak Yan Yu
This network shows the impact of papers produced by David Tak Yan 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 David Tak Yan Yu. The network helps show where David Tak Yan Yu may publish in the future.
Co-authorship network of co-authors of David Tak Yan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of David Tak Yan Yu. A scholar is included among the top collaborators of David Tak Yan Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Tak Yan Yu. David Tak Yan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 58 | |
| 3 | 27 | |
| 4 | 11 | |
| 5 | 25 | |
| 6 | 7 | |
| 7 | Panamerican Congress of Spondyloarthropathies, Cartagena, Columbia, October 20-22, 2005: Latin American rheumatology comes of age! | 1 |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 81 | |
| 11 | 59 | |
| 12 | The genetically-engineered secretory B27/Q10 chimeric molecule inhibits HLA-B27 restricted alloreactive T-lymphocytes. | 7 |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 36 | |
| 17 | 15 | |
| 18 | 389 | |
| 19 | Effect of corticosteroids on committed lymphocytes. | 10 |
| 20 | 245 |
About David Tak Yan Yu
David Tak Yan Yu is a scholar working on Rheumatology, Immunology and Hematology, having authored 121 papers that have together received 4.9k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (45 papers), Rheumatoid Arthritis Research and Therapies (40 papers) and T-cell and B-cell Immunology (26 papers). The work is most often cited by research in Rheumatology (2.0k citations), Immunology (2.5k citations) and Hematology (722 citations). David Tak Yan Yu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Henry G. Kunkel, Robert Winchester, Shu Man Fu, H S Ko, Philip J. Clements, Harold E. Paulus, James B. Peter, Jieruo Gu, Michael B. A. Oldstone and Peter Schwimmbeck. Their work appears in journals such as The Lancet, Nucleic Acids Research and Journal of Clinical Investigation.
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.