Virginia Chen
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Transplantation top 10%
Papers in
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 6
- Cystic Fibrosis Research Advances 4
- Neonatal Respiratory Health Research 4
- Co-authors
- Scott J. Tebbutt (15 shared papers)Casey P. Shannon (6 shared papers)Zsuzsanna Hollander (22 shared papers)Qiong Zhou (1 shared paper)Xuan Xiang (1 shared paper)Tobias R. Kollmann (1 shared paper)Xiao‐Shan Wei (1 shared paper)Eleanor N. Fish (1 shared paper)
- Journals
- Respiratory Research (4 papers)PLoS ONE (4 papers)International Journal of COPD (2 papers)BMC Bioinformatics (2 papers)ESC Heart Failure (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Virginia Chen
29 papers receiving 749 citations
Peers
Comparison fields: 5 of 97
- Infectious Diseases 251
- Transplantation 26
- Emergency Medical Services 54
- Immunology 138
- Neurology 95
Countries citing papers authored by Virginia Chen
This map shows the geographic impact of Virginia Chen'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 Virginia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Chen more than expected).
Fields of papers citing papers by Virginia Chen
This network shows the impact of papers produced by Virginia Chen. 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 Virginia Chen. The network helps show where Virginia Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Virginia Chen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 274 | |
| 2 | 2018 | 98 | |
| 3 | 2018 | 41 | |
| 4 | 2012 | 30 | |
| 5 | 2017 | 29 | |
| 6 | 2019 | 29 | |
| 7 | 2017 | 28 | |
| 8 | 2018 | 22 | |
| 9 | 2010 | 21 | |
| 10 | 2016 | 17 | |
| 11 | 2017 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 1992 | 15 | |
| 14 | 2017 | 14 | |
| 15 | 2015 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2012 | 12 | |
| 18 | 2014 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2019 | 8 |
About Virginia Chen
Virginia Chen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Epidemiology, having authored 31 papers that have together received 756 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Cystic Fibrosis Research Advances (4 papers), Heart Failure Treatment and Management (4 papers), Transplantation: Methods and Outcomes (4 papers), Neonatal Respiratory Health Research (4 papers), Asthma and respiratory diseases (3 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Infectious Diseases (251 citations), Transplantation (26 citations), Emergency Medical Services (54 citations), Immunology (138 citations) and Neurology (95 citations). Virginia Chen has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Scott J. Tebbutt, Casey P. Shannon, Zsuzsanna Hollander, Qiong Zhou, Xuan Xiang, Tobias R. Kollmann, Xiao‐Shan Wei, Eleanor N. Fish, Xu Wang and Zi-Hao Wang. Their work appears in journals such as Respiratory Research, PLoS ONE, International Journal of COPD, BMC Bioinformatics and ESC Heart Failure.
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.