James Wassil
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Epidemiology top 10%
- Pneumonia and Respiratory Infections
- Influenza Virus Research Studies
- Respiratory viral infections research
- Infective Endocarditis Diagnosis and Management
Papers in
- Epidemiology 11
- Pneumonia and Respiratory Infections 11
- Respiratory viral infections research 4
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Influenza Virus Research Studies 2
- Virology and Viral Diseases 2
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- Bacterial Infections and Vaccines 8
- Co-authors
- Peter Dull (3 shared papers)Duccio Medini (1 shared paper)Maria Stella (1 shared paper)Daniela Toneatto (2 shared papers)Jeffrey J. Stoddard (1 shared paper)Miguel O’Ryan (1 shared paper)E. David G. McIntosh (3 shared papers)Michael Bröker (2 shared papers)
- Journals
- Vaccine (5 papers)Drugs (1 paper)Epidemiology and Infection (1 paper)The Lancet Infectious Diseases (1 paper)Environmental Chemistry Letters (1 paper)
- Partner nations
- United StatesSwitzerlandChile
In The Last Decade
James Wassil
13 papers receiving 437 citations
Peers
Comparison fields: 5 of 51
- Microbiology 300
- Epidemiology 240
- Molecular Medicine 29
- Endocrinology 29
- Applied Microbiology and Biotechnology 6
Countries citing papers authored by James Wassil
This map shows the geographic impact of James Wassil'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 James Wassil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Wassil more than expected).
Fields of papers citing papers by James Wassil
This network shows the impact of papers produced by James Wassil. 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 James Wassil. The network helps show where James Wassil may publish in the future.
Co-authors
The 25 scholars most cited alongside James Wassil, 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 | 2013 | 130 | |
| 2 | 2015 | 94 | |
| 3 | 2015 | 67 | |
| 4 | 2021 | 48 | |
| 5 | 2021 | 36 | |
| 6 | 2023 | 22 | |
| 7 | 2015 | 19 | |
| 8 | 2013 | 12 | |
| 9 | 2014 | 9 | |
| 10 | 2024 | 6 | |
| 11 | 2012 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2012 | 4 |
About James Wassil
James Wassil is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 456 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (11 papers), Bacterial Infections and Vaccines (8 papers), Respiratory viral infections research (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Influenza Virus Research Studies (2 papers), Virology and Viral Diseases (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Microbiology (300 citations), Epidemiology (240 citations), Molecular Medicine (29 citations), Endocrinology (29 citations) and Applied Microbiology and Biotechnology (6 citations). James Wassil has collaborated with scholars based in United States, Switzerland and Chile. Frequent co-authors include Peter Dull, Duccio Medini, Maria Stella, Daniela Toneatto, Jeffrey J. Stoddard, Miguel O’Ryan, E. David G. McIntosh, Michael Bröker, Jo Anne Welsch and Ray Borrow. Their work appears in journals such as Vaccine, Drugs, Epidemiology and Infection, The Lancet Infectious Diseases and Environmental Chemistry Letters.
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.