Edward K. L. Chan
- Rheumatology top 0.1%
- Systemic Lupus Erythematosus Research 55
- Immunology top 0.2%
- Cancer Research top 0.2%
- MicroRNA in disease regulation 35
- Molecular Biology top 0.2%
- RNA Research and Splicing 54
- RNA and protein synthesis mechanisms 26
- Glycosylation and Glycoproteins Research 23
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- Monoclonal and Polyclonal Antibodies Research 82
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- Inflammatory Myopathies and Dermatomyositis 25
- Cytomegalovirus and herpesvirus research 22
- Co-authors
- Eng M. TanMinoru SatohMarvin J. FritzlerKaleb M. PauleyLuís Eduardo Coelho AndradeMd A. NahidJohn C. HamelJill P. Buyon
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (4 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Edward K. L. Chan
351 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Rheumatology 3.8k
- Immunology 4.9k
- Cancer Research 3.5k
- Molecular Biology 10.7k
- Radiology, Nuclear Medicine and Imaging 2.9k
Countries citing papers authored by Edward K. L. Chan
This map shows the geographic impact of Edward K. L. 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 Edward K. L. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward K. L. Chan more than expected).
Fields of papers citing papers by Edward K. L. Chan
This network shows the impact of papers produced by Edward K. L. 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 Edward K. L. Chan. The network helps show where Edward K. L. Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward K. L. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 11 | |
| 8 | 2016 | 7 | |
| 9 | 2015 | 35 | |
| 10 | 2014 | 14 | |
| 11 | 2013 | 101 | |
| 12 | 2013 | 58 | |
| 13 | 2007 | 23 | |
| 14 | 2004 | 1 | |
| 15 | 2004 | 2 | |
| 16 | 2003 | 25 | |
| 17 | 2000 | 143 | |
| 18 | Accessibility of SSA/Ro and SSB/La antigens to maternal autoantibodies in apoptotic human fetal cardiac myocytes. | 1998 | 106 |
| 19 | 1998 | 26 | |
| 20 | Antinuclear antibodies in Sjogrens syndrome | 1992 | 2 |
About Edward K. L. Chan
Edward K. L. Chan is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 361 papers that have together received 20.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (82 papers), Systemic Lupus Erythematosus Research (55 papers), RNA Research and Splicing (54 papers), MicroRNA in disease regulation (35 papers), RNA and protein synthesis mechanisms (26 papers), Inflammatory Myopathies and Dermatomyositis (25 papers), Glycosylation and Glycoproteins Research (23 papers) and Cytomegalovirus and herpesvirus research (22 papers). The work is most often cited by research in Rheumatology (3.8k citations), Immunology (4.9k citations) and Cancer Research (3.5k citations). Edward K. L. Chan has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Eng M. Tan, Minoru Satoh, Marvin J. Fritzler, Kaleb M. Pauley, Luís Eduardo Coelho Andrade, Md A. Nahid, John C. Hamel, Jill P. Buyon, Westley H. Reeves and Theophany Eystathioy. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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.