Daniel Chui
Impact in
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- CRISPR and Genetic Engineering
- Retinal Development and Disorders
- Protein Tyrosine Phosphatases
- Immunology top 5%
- T-cell and B-cell Immunology
Papers in
-
- Glycosylation and Glycoproteins Research 8
- Protein Tyrosine Phosphatases 3
- CRISPR and Genetic Engineering 1
-
- T-cell and B-cell Immunology 5
- Co-authors
- Jamey D. Marth (16 shared papers)Paul C. Orban (1 shared paper)Kurt W. Marek (3 shared papers)James C. Paulson (2 shared papers)Raheel Shafi (1 shared paper)Gerald Warren Hart (1 shared paper)Lesley G. Ellies (1 shared paper)Sai Prasad N. Iyer (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cell (3 papers)The Journal of Immunology (2 papers)Molecular and Cellular Biology (1 paper)Cell and Tissue Research (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Daniel Chui
17 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 1.9k
- Immunology 426
- Genetics 397
- Developmental Neuroscience 28
- Cell Biology 102
Countries citing papers authored by Daniel Chui
This map shows the geographic impact of Daniel Chui'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 Daniel Chui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Chui more than expected).
Fields of papers citing papers by Daniel Chui
This network shows the impact of papers produced by Daniel Chui. 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 Daniel Chui. The network helps show where Daniel Chui may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Chui, 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 | 2000 | 663 | |
| 2 | 1992 | 517 | |
| 3 | 2000 | 356 | |
| 4 | 1998 | 316 | |
| 5 | 2000 | 276 | |
| 6 | 2001 | 188 | |
| 7 | 2001 | 182 | |
| 8 | 1997 | 179 | |
| 9 | 2006 | 67 | |
| 10 | 1994 | 66 | |
| 11 | 1994 | 52 | |
| 12 | 2002 | 52 | |
| 13 | Receptor-specific allelic exclusion of TCRV alpha-chains during development. | 1998 | 17 |
| 14 | 1998 | 17 | |
| 15 | 2019 | 13 | |
| 16 | 1997 | 6 | |
| 17 | 1994 | 4 |
About Daniel Chui
Daniel Chui is a scholar working on Molecular Biology, Immunology, Genetics, Reproductive Medicine and Rheumatology, having authored 17 papers that have together received 3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), T-cell and B-cell Immunology (5 papers), Protein Tyrosine Phosphatases (3 papers), Genetic and Kidney Cyst Diseases (1 paper), Systemic Lupus Erythematosus Research (1 paper), Animal Genetics and Reproduction (1 paper), Sperm and Testicular Function (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (1.9k citations), Immunology (426 citations), Genetics (397 citations), Developmental Neuroscience (28 citations) and Cell Biology (102 citations). Daniel Chui has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jamey D. Marth, Paul C. Orban, Kurt W. Marek, James C. Paulson, Raheel Shafi, Gerald Warren Hart, Lesley G. Ellies, Sai Prasad N. Iyer, Thierry Hennet and John J. Priatel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, The Journal of Immunology, Molecular and Cellular Biology and Cell and Tissue 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.