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 5
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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)Jihan Akhtar (1 shared paper)Jian Liu (1 shared paper)
- Journals
- Journal of Virology (2 papers)Virology (2 papers)Journal of General Virology (1 paper)Journal of Biological Chemistry (1 paper)mBio (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher D. O’Donnell
12 papers receiving 508 citations
Peers
Comparison fields: 5 of 64
- Epidemiology 336
- Cell Biology 138
- Immunology 136
- Agronomy and Crop Science 41
- Infectious Diseases 69
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 | 69 | |
| 2 | 2012 | 62 | |
| 3 | 2011 | 61 | |
| 4 | 2008 | 60 | |
| 5 | 2005 | 57 | |
| 6 | 2009 | 50 | |
| 7 | 2007 | 37 | |
| 8 | 2012 | 32 | |
| 9 | 2014 | 31 | |
| 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, Molecular Biology, Rheumatology and Immunology, having authored 12 papers that have together received 512 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 (5 papers), Systemic Lupus Erythematosus Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Epidemiology (336 citations), Cell Biology (138 citations), Immunology (136 citations), Agronomy and Crop Science (41 citations) and Infectious Diseases (69 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, Jihan Akhtar, Jian Liu, Ronald J. Copeland and Yumiko Matsuoka. Their work appears in journals such as Journal of Virology, Virology, Journal of General Virology, Journal of Biological Chemistry 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.