Robert Donnelly
Impact in
- Biological Psychiatry top 2%
- Virology top 2%
Papers in
-
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 4
- Immunology 22
- Immune Cell Function and Interaction 7
- interferon and immune responses 6
- Reproductive System and Pregnancy 5
- Co-authors
- David E. Sleat (5 shared papers)Peter Lobel (5 shared papers)István Sohár (3 shared papers)Chang‐Gong Liu (2 shared papers)Michael P. Vitek (3 shared papers)Raju K. Pullarkat (2 shared papers)Sidney Pestka (10 shared papers)Henry Lackland (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Cellular Physiology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Clinical and Vaccine Immunology (2 papers)Cell Cycle (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robert Donnelly
87 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 145
- Biological Psychiatry 142
- Virology 210
- Immunology 934
- Physiology 1.1k
- Neurology 279
Countries citing papers authored by Robert Donnelly
This map shows the geographic impact of Robert Donnelly'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 Robert Donnelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Donnelly more than expected).
Fields of papers citing papers by Robert Donnelly
This network shows the impact of papers produced by Robert Donnelly. 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 Robert Donnelly. The network helps show where Robert Donnelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Donnelly, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 491 | |
| 2 | 1997 | 479 | |
| 3 | 1994 | 223 | |
| 4 | 2002 | 142 | |
| 5 | 1995 | 137 | |
| 6 | 2000 | 134 | |
| 7 | 2014 | 134 | |
| 8 | 1999 | 132 | |
| 9 | 1978 | 128 | |
| 10 | 1998 | 110 | |
| 11 | 2003 | 96 | |
| 12 | 2021 | 85 | |
| 13 | 2019 | 80 | |
| 14 | 1990 | 76 | |
| 15 | 2008 | 68 | |
| 16 | 2010 | 67 | |
| 17 | 2013 | 63 | |
| 18 | 1994 | 63 | |
| 19 | 1996 | 62 | |
| 20 | 1993 | 53 |
About Robert Donnelly
Robert Donnelly is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Epidemiology, having authored 88 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Immune Cell Function and Interaction (7 papers), interferon and immune responses (6 papers), RNA Research and Splicing (5 papers), Lysosomal Storage Disorders Research (5 papers), Reproductive System and Pregnancy (5 papers), Cellular transport and secretion (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Biological Psychiatry (142 citations), Virology (210 citations), Immunology (934 citations), Physiology (1.1k citations) and Neurology (279 citations). Robert Donnelly has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David E. Sleat, Peter Lobel, István Sohár, Chang‐Gong Liu, Michael P. Vitek, Raju K. Pullarkat, Sidney Pestka, Henry Lackland, Thomas M. Mariano and Dmitry Goldgaber. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular Physiology, Proceedings of the National Academy of Sciences, Clinical and Vaccine Immunology and Cell Cycle.
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.