Carole E. Harbison
Impact in
- Virology top 5%
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
- Genetics 8
- Virus-based gene therapy research 7
- Co-authors
- Colin R. Parrish (7 shared papers)John A. Chiorini (2 shared papers)Samir Softic (1 shared paper)Tata Nageswara Rao (1 shared paper)Brian T. O’Neill (1 shared paper)Manoj K. Gupta (1 shared paper)Jennifer L. S. Willoughby (1 shared paper)Christopher B. Newgard (1 shared paper)
- Journals
- Journal of Virology (5 papers)Veterinary Pathology (3 papers)Toxicologic Pathology (3 papers)Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Carole E. Harbison
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Virology 76
- Animal Science and Zoology 173
- Infectious Diseases 237
- Genetics 314
- Endocrinology, Diabetes and Metabolism 175
Countries citing papers authored by Carole E. Harbison
This map shows the geographic impact of Carole E. Harbison'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 Carole E. Harbison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carole E. Harbison more than expected).
Fields of papers citing papers by Carole E. Harbison
This network shows the impact of papers produced by Carole E. Harbison. 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 Carole E. Harbison. The network helps show where Carole E. Harbison may publish in the future.
Co-authors
The 25 scholars most cited alongside Carole E. Harbison, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 270 | |
| 2 | 2018 | 212 | |
| 3 | 2011 | 86 | |
| 4 | 2012 | 70 | |
| 5 | 2012 | 56 | |
| 6 | 2018 | 54 | |
| 7 | 2008 | 52 | |
| 8 | 2011 | 47 | |
| 9 | 2012 | 44 | |
| 10 | 2009 | 38 | |
| 11 | 2009 | 29 | |
| 12 | 2014 | 21 | |
| 13 | 2014 | 20 | |
| 14 | 2022 | 18 | |
| 15 | 2017 | 16 | |
| 16 | 2019 | 14 | |
| 17 | 2013 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2007 | 9 | |
| 20 | 2022 | 8 |
About Carole E. Harbison
Carole E. Harbison is a scholar working on Genetics, Immunology, Infectious Diseases, Molecular Biology and Animal Science and Zoology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Animal Virus Infections Studies (5 papers), HIV Research and Treatment (4 papers), Parvovirus B19 Infection Studies (3 papers), RNA Interference and Gene Delivery (2 papers), HIV/AIDS Research and Interventions (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Virology (76 citations), Animal Science and Zoology (173 citations), Infectious Diseases (237 citations), Genetics (314 citations) and Endocrinology, Diabetes and Metabolism (175 citations). Carole E. Harbison has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Colin R. Parrish, John A. Chiorini, Samir Softic, Tata Nageswara Rao, Brian T. O’Neill, Manoj K. Gupta, Jennifer L. S. Willoughby, Christopher B. Newgard, Natalie Keirstead and Shiho Fujisaka. Their work appears in journals such as Journal of Virology, Veterinary Pathology, Toxicologic Pathology, Cancer Research and Journal of Clinical Oncology.
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.