Carole E. Harbison
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Virology top 10%
Papers in
- Genetics 9
- Virus-based gene therapy research 8
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- Parvovirus B19 Infection Studies 4
- HIV/AIDS Research and Interventions 2
- Co-authors
- Colin R. Parrish (7 shared papers)John A. Chiorini (2 shared papers)Shiho Fujisaka (1 shared paper)Maja M. Janas (2 shared papers)Samir Softic (1 shared paper)Brian T. O’Neill (1 shared paper)Olga Ilkayeva (1 shared paper)Tata Nageswara Rao (1 shared paper)
- Journals
- Journal of Virology (5 papers)Veterinary Pathology (3 papers)Toxicologic Pathology (3 papers)Cancer Research (2 papers)Endocrinology (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Carole E. Harbison
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Animal Science and Zoology 186
- Virology 78
- Infectious Diseases 254
- Endocrinology, Diabetes and Metabolism 196
- Genetics 321
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 | 261 | |
| 2 | 2018 | 200 | |
| 3 | 2011 | 87 | |
| 4 | 2012 | 69 | |
| 5 | 2012 | 55 | |
| 6 | 2018 | 54 | |
| 7 | 2008 | 51 | |
| 8 | 2011 | 46 | |
| 9 | 2012 | 44 | |
| 10 | 2009 | 38 | |
| 11 | 2009 | 29 | |
| 12 | 2014 | 21 | |
| 13 | 2014 | 20 | |
| 14 | 2022 | 17 | |
| 15 | 2017 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2013 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2007 | 9 | |
| 20 | 2014 | 7 |
About Carole E. Harbison
Carole E. Harbison is a scholar working on Genetics, Infectious Diseases, Immunology, 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 (8 papers), Animal Virus Infections Studies (6 papers), HIV Research and Treatment (4 papers), Parvovirus B19 Infection Studies (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), HIV/AIDS Research and Interventions (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Animal Science and Zoology (186 citations), Virology (78 citations), Infectious Diseases (254 citations), Endocrinology, Diabetes and Metabolism (196 citations) and Genetics (321 citations). Carole E. Harbison has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Colin R. Parrish, John A. Chiorini, Shiho Fujisaka, Maja M. Janas, Samir Softic, Brian T. O’Neill, Olga Ilkayeva, Tata Nageswara Rao, Christopher B. Newgard and Manoj K. Gupta. Their work appears in journals such as Journal of Virology, Veterinary Pathology, Toxicologic Pathology, Cancer Research and Endocrinology.
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.