Christopher D. O’Donnell
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Herpesvirus Infections and Treatments
- Respiratory viral infections research
- Cytomegalovirus and herpesvirus research
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
Papers in
- Epidemiology 10
- Influenza Virus Research Studies 5
- Herpesvirus Infections and Treatments 5
- Respiratory viral infections research 3
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- Proteoglycans and glycosaminoglycans research 6
- Co-authors
- Deepak Shukla (6 shared papers)Kanta Subbarao (5 shared papers)Vaibhav Tiwari (3 shared papers)Tibor Vályi-Nagy (2 shared papers)Leatrice Vogel (4 shared papers)Mária Kovács (1 shared paper)Hong Jin (1 shared paper)Yumiko Matsuoka (1 shared paper)
- Journals
- Journal of Virology (2 papers)Virology (2 papers)Clinical and Vaccine Immunology (1 paper)Biochemical and Biophysical Research Communications (1 paper)mBio (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher D. O’Donnell
12 papers receiving 525 citations
Peers
Comparison fields: 5 of 64
- Epidemiology 344
- Cell Biology 142
- Immunology 125
- Infectious Diseases 70
- Agronomy and Crop Science 36
Countries citing papers authored by Christopher D. O’Donnell
This map shows the geographic impact of Christopher D. O’Donnell'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 Christopher D. O’Donnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. O’Donnell more than expected).
Fields of papers citing papers by Christopher D. O’Donnell
This network shows the impact of papers produced by Christopher D. O’Donnell. 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 Christopher D. O’Donnell. The network helps show where Christopher D. O’Donnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher D. O’Donnell, 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 | 2005 | 71 | |
| 2 | 2011 | 67 | |
| 3 | 2012 | 63 | |
| 4 | 2008 | 63 | |
| 5 | 2005 | 57 | |
| 6 | 2009 | 54 | |
| 7 | 2007 | 37 | |
| 8 | 2012 | 35 | |
| 9 | 2014 | 33 | |
| 10 | 2009 | 24 | |
| 11 | 2014 | 17 | |
| 12 | 1999 | 12 |
About Christopher D. O’Donnell
Christopher D. O’Donnell is a scholar working on Epidemiology, Cell Biology, Rheumatology, Immunology and Molecular Biology, having authored 12 papers that have together received 533 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (6 papers), Influenza Virus Research Studies (5 papers), Herpesvirus Infections and Treatments (5 papers), Respiratory viral infections research (3 papers), Systemic Lupus Erythematosus Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Epidemiology (344 citations), Cell Biology (142 citations), Immunology (125 citations), Infectious Diseases (70 citations) and Agronomy and Crop Science (36 citations). Christopher D. O’Donnell has collaborated with scholars based in United States. Frequent co-authors include Deepak Shukla, Kanta Subbarao, Vaibhav Tiwari, Tibor Vályi-Nagy, Leatrice Vogel, Mária Kovács, Hong Jin, Yumiko Matsuoka, Chih‐Jen Wei and Ronald J. Copeland. Their work appears in journals such as Journal of Virology, Virology, Clinical and Vaccine Immunology, Biochemical and Biophysical Research Communications and mBio.
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.