Mary E. Harvey
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
Papers in
- Genetics 11
- Virus-based gene therapy research 11
-
- Animal Virus Infections Studies 6
- Co-authors
- Stephen J. Russell (12 shared papers)Kah-Whye Peng (8 shared papers)Suzanne M. Greiner (6 shared papers)Roberto Cattaneo (5 shared papers)Takafumi Nakamura (3 shared papers)John C. Morris (2 shared papers)Michael K. O’Connor (2 shared papers)David Dingli (3 shared papers)
- Journals
- Molecular Therapy (3 papers)Blood (3 papers)Nature Biotechnology (2 papers)Human Gene Therapy (2 papers)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Mary E. Harvey
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Genetics 879
- Animal Science and Zoology 275
- Epidemiology 478
- Infectious Diseases 191
- Oncology 259
Countries citing papers authored by Mary E. Harvey
This map shows the geographic impact of Mary E. Harvey'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 Mary E. Harvey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Harvey more than expected).
Fields of papers citing papers by Mary E. Harvey
This network shows the impact of papers produced by Mary E. Harvey. 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 Mary E. Harvey. The network helps show where Mary E. Harvey may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary E. Harvey, 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 | 2003 | 287 | |
| 2 | 2005 | 225 | |
| 3 | 2004 | 108 | |
| 4 | 2006 | 83 | |
| 5 | 2008 | 80 | |
| 6 | 2006 | 76 | |
| 7 | 2007 | 75 | |
| 8 | 2005 | 56 | |
| 9 | 2006 | 53 | |
| 10 | 2003 | 49 | |
| 11 | 2005 | 49 | |
| 12 | 2005 | 26 | |
| 13 | 2006 | 5 | |
| 14 | 2005 | 1 | |
| 15 | 2006 | 1 |
About Mary E. Harvey
Mary E. Harvey is a scholar working on Genetics, Animal Science and Zoology, Epidemiology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Virology and Viral Diseases (11 papers), Animal Virus Infections Studies (6 papers), Viral gastroenteritis research and epidemiology (1 paper), Cancer Research and Treatments (1 paper), interferon and immune responses (1 paper), Respiratory viral infections research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Genetics (879 citations), Animal Science and Zoology (275 citations), Epidemiology (478 citations), Infectious Diseases (191 citations) and Oncology (259 citations). Mary E. Harvey has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Stephen J. Russell, Kah-Whye Peng, Suzanne M. Greiner, Roberto Cattaneo, Takafumi Nakamura, John C. Morris, Michael K. O’Connor, David Dingli, Philip R. Greipp and Charles David James. Their work appears in journals such as Molecular Therapy, Blood, Nature Biotechnology, Human Gene Therapy and Breast Cancer Research and Treatment.
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.