Grace Chan
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
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- RNA Interference and Gene Delivery 6
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- Monoclonal and Polyclonal Antibodies Research 11
- Co-authors
- Richard H. Weisbart (27 shared papers)Robert N. Nishimura (15 shared papers)James E. Hansen (11 shared papers)Terence Y. Pang (2 shared papers)Laurence Lanfumey (2 shared papers)Anthony J. Hannan (2 shared papers)Thibault Renoir (2 shared papers)Caroline Chevarin (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)Cancer Research (3 papers)International Journal of Oncology (2 papers)Polymer (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesAustraliaIreland
In The Last Decade
Grace Chan
43 papers receiving 713 citations
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 212
- Immunology 161
- Toxicology 23
- Rheumatology 98
- Molecular Biology 361
Countries citing papers authored by Grace Chan
This map shows the geographic impact of Grace Chan'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 Grace Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Chan more than expected).
Fields of papers citing papers by Grace Chan
This network shows the impact of papers produced by Grace Chan. 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 Grace Chan. The network helps show where Grace Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 60 | |
| 2 | 2007 | 53 | |
| 3 | 2007 | 47 | |
| 4 | 2012 | 43 | |
| 5 | 1990 | 42 | |
| 6 | 2015 | 40 | |
| 7 | 2012 | 40 | |
| 8 | 2007 | 38 | |
| 9 | 2017 | 35 | |
| 10 | 2005 | 25 | |
| 11 | 2006 | 25 | |
| 12 | 2004 | 23 | |
| 13 | 2003 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2015 | 20 | |
| 16 | 1991 | 18 | |
| 17 | 2006 | 18 | |
| 18 | 2004 | 17 | |
| 19 | 1997 | 15 | |
| 20 | 2022 | 14 |
About Grace Chan
Grace Chan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Genetics, having authored 45 papers that have together received 736 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (6 papers), Cancer Research and Treatments (4 papers), T-cell and B-cell Immunology (4 papers), Cancer-related Molecular Pathways (4 papers), Systemic Lupus Erythematosus Research (4 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (212 citations), Immunology (161 citations), Toxicology (23 citations), Rheumatology (98 citations) and Molecular Biology (361 citations). Grace Chan has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include Richard H. Weisbart, Robert N. Nishimura, James E. Hansen, Terence Y. Pang, Laurence Lanfumey, Anthony J. Hannan, Thibault Renoir, Caroline Chevarin, Diane Hardej and Cesar A. Lau‐Cam. Their work appears in journals such as The Journal of Immunology, Cancer Research, International Journal of Oncology, Polymer and Journal of Biological Chemistry.
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.