Robert E. Donahue
Impact in
- Hematology top 0.2%
- Hematopoietic Stem Cell Transplantation
- Genetics top 0.2%
- Virus-based gene therapy research
Papers in
- Genetics 96
- Virus-based gene therapy research 93
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- RNA Interference and Gene Delivery 54
- CRISPR and Genetic Engineering 40
- Co-authors
- Mark E. Metzger (86 shared papers)Cynthia E. Dunbar (82 shared papers)Steven C. Clark (8 shared papers)Brian Agricola (27 shared papers)Gordon Wong (3 shared papers)John F. Tisdale (47 shared papers)Stephanie Sellers (26 shared papers)David G. Nathan (4 shared papers)
- Journals
- Blood (55 papers)Molecular Therapy (17 papers)Human Gene Therapy (14 papers)Experimental Hematology (7 papers)Journal of Virology (5 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Robert E. Donahue
175 papers receiving 7.8k citations
Robert E. Donahue's Hit Papers
Peers
Comparison fields: 5 of 123
- Hematology 2.0k
- Genetics 3.5k
- Virology 452
- Immunology 1.9k
- Genetics 853
Countries citing papers authored by Robert E. Donahue
This map shows the geographic impact of Robert E. Donahue'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 E. Donahue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Donahue more than expected).
Fields of papers citing papers by Robert E. Donahue
This network shows the impact of papers produced by Robert E. Donahue. 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 E. Donahue. The network helps show where Robert E. Donahue may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert E. Donahue, 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human IL-3 (multi-CSF): Identification by expression cloning of a novel hematopoietic growth factor related to murine IL-3 Hit paper breakdown → | 1986 | 742 |
| 2 | 1992 | 440 | |
| 3 | 1986 | 362 | |
| 4 | 1985 | 326 | |
| 5 | 1988 | 286 | |
| 6 | 1995 | 236 | |
| 7 | 1998 | 224 | |
| 8 | 2011 | 207 | |
| 9 | 1987 | 203 | |
| 10 | 1988 | 165 | |
| 11 | 1987 | 161 | |
| 12 | 2006 | 153 | |
| 13 | 2004 | 139 | |
| 14 | 2007 | 138 | |
| 15 | 1996 | 136 | |
| 16 | 2014 | 130 | |
| 17 | 2005 | 127 | |
| 18 | 2007 | 123 | |
| 19 | 2002 | 108 | |
| 20 | 1999 | 102 |
About Robert E. Donahue
Robert E. Donahue is a scholar working on Genetics, Molecular Biology, Hematology, Immunology and Oncology, having authored 177 papers that have together received 8.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (93 papers), RNA Interference and Gene Delivery (54 papers), CRISPR and Genetic Engineering (40 papers), Hematopoietic Stem Cell Transplantation (34 papers), CAR-T cell therapy research (28 papers), Immunotherapy and Immune Responses (14 papers), HIV Research and Treatment (13 papers) and Erythrocyte Function and Pathophysiology (12 papers). The work is most often cited by research in Hematology (2.0k citations), Genetics (3.5k citations), Virology (452 citations), Immunology (1.9k citations) and Genetics (853 citations). Robert E. Donahue has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Mark E. Metzger, Cynthia E. Dunbar, Steven C. Clark, Brian Agricola, Gordon Wong, John F. Tisdale, Stephanie Sellers, David G. Nathan, Aylin Bonifacino and Allen E. Krouse. Their work appears in journals such as Blood, Molecular Therapy, Human Gene Therapy, Experimental Hematology and Journal of Virology.
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.