Mario Chan
Impact in
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- Virus-based gene therapy research
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- Neonatal Respiratory Health Research
- Cystic Fibrosis Research Advances
Papers in
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- Cystic Fibrosis Research Advances 3
- Neonatal Respiratory Health Research 3
- Genetics 4
- Virus-based gene therapy research 4
- Co-authors
- Eric W.F.W. Alton (8 shared papers)Uta Griesenbach (6 shared papers)Cuixiang Meng (5 shared papers)Raymond Farley (4 shared papers)Mamoru Hasegawa (4 shared papers)Felix M. Munkonge (4 shared papers)Deborah R. Gill (5 shared papers)Makoto Inoue (4 shared papers)
- Journals
- Molecular Therapy (2 papers)Current Gene Therapy (1 paper)Biomaterials (1 paper)Journal of Biological Chemistry (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Mario Chan
12 papers receiving 346 citations
Peers
Comparison fields: 5 of 59
- Genetics 156
- Pulmonary and Respiratory Medicine 133
- Infectious Diseases 65
- Cancer Research 36
- Molecular Biology 139
Countries citing papers authored by Mario Chan
This map shows the geographic impact of Mario 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 Mario Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Chan more than expected).
Fields of papers citing papers by Mario Chan
This network shows the impact of papers produced by Mario 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 Mario Chan. The network helps show where Mario Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario 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 | 2010 | 97 | |
| 2 | 2012 | 79 | |
| 3 | 2009 | 32 | |
| 4 | 2008 | 28 | |
| 5 | 2009 | 26 | |
| 6 | 2014 | 23 | |
| 7 | 2014 | 21 | |
| 8 | 2005 | 19 | |
| 9 | 2004 | 13 | |
| 10 | 2018 | 11 | |
| 11 | 2015 | 3 | |
| 12 | 2012 | 1 |
About Mario Chan
Mario Chan is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Infectious Diseases, Epidemiology and Electrical and Electronic Engineering, having authored 12 papers that have together received 353 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Cystic Fibrosis Research Advances (3 papers), Breast Cancer Treatment Studies (3 papers), Neonatal Respiratory Health Research (3 papers), Respiratory viral infections research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Energy Harvesting in Wireless Networks (3 papers) and Breast Lesions and Carcinomas (2 papers). The work is most often cited by research in Genetics (156 citations), Pulmonary and Respiratory Medicine (133 citations), Infectious Diseases (65 citations), Cancer Research (36 citations) and Molecular Biology (139 citations). Mario Chan has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Eric W.F.W. Alton, Uta Griesenbach, Cuixiang Meng, Raymond Farley, Mamoru Hasegawa, Felix M. Munkonge, Deborah R. Gill, Makoto Inoue, Stephen C. Hyde and Andrea M. Brum. Their work appears in journals such as Molecular Therapy, Current Gene Therapy, Biomaterials, Journal of Biological Chemistry and European Journal of Cancer.
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.