Mario Chan
Impact in
-
- Cystic Fibrosis Research Advances
- Neonatal Respiratory Health Research
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Neonatal Respiratory Health Research 6
- Cystic Fibrosis Research Advances 5
- Genetics 5
- Virus-based gene therapy research 5
- 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)Felix M. Munkonge (4 shared papers)Mamoru Hasegawa (4 shared papers)Deborah R. Gill (5 shared papers)Makoto Inoue (4 shared papers)
- Journals
- Molecular Therapy (2 papers)Gene Therapy (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)Current Gene Therapy (1 paper)European Respiratory Journal (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Mario Chan
17 papers receiving 1.1k citations
Mario Chan's Hit Papers
Peers
Comparison fields: 5 of 80
- Pulmonary and Respiratory Medicine 478
- Genetics 379
- Molecular Biology 539
- Infectious Diseases 138
- Genetics 50
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 | Repeated nebulisation of non-viral CFTR gene therapy in patients with cystic fibrosis: a randomised, double-blind, placebo-controlled, phase 2b trial Hit paper breakdown → | 2015 | 348 |
| 2 | 2008 | 257 | |
| 3 | 2016 | 122 | |
| 4 | 2010 | 107 | |
| 5 | 2012 | 88 | |
| 6 | 2009 | 37 | |
| 7 | 2016 | 33 | |
| 8 | 2014 | 30 | |
| 9 | 2008 | 30 | |
| 10 | 2009 | 27 | |
| 11 | 2014 | 22 | |
| 12 | 2009 | 17 | |
| 13 | 2004 | 13 | |
| 14 | 2018 | 10 | |
| 15 | 2015 | 4 | |
| 16 | 2012 | 1 | |
| 17 | 2025 | 1 |
About Mario Chan
Mario Chan is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Cancer Research, Infectious Diseases and Molecular Medicine, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Virus-based gene therapy research (5 papers), Cystic Fibrosis Research Advances (5 papers), Energy Harvesting in Wireless Networks (4 papers), RNA Interference and Gene Delivery (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Respiratory viral infections research (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (478 citations), Genetics (379 citations), Molecular Biology (539 citations), Infectious Diseases (138 citations) and Genetics (50 citations). Mario Chan has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Eric W.F.W. Alton, Uta Griesenbach, Cuixiang Meng, Raymond Farley, Felix M. Munkonge, Mamoru Hasegawa, Deborah R. Gill, Makoto Inoue, Stephen C. Hyde and Andrea M. Brum. Their work appears in journals such as Molecular Therapy, Gene Therapy, American Journal of Respiratory and Critical Care Medicine, Current Gene Therapy and European Respiratory Journal.
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.