Clarine Long
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- T-cell and Retrovirus Studies
- Immune Cell Function and Interaction
Papers in
- Genetics 14
- Virus-based gene therapy research 13
- Co-authors
- Masakazu Hatanaka (4 shared papers)Raymond V. Gilden (4 shared papers)Myriam Scherer (2 shared papers)Stephen Oroszlan (2 shared papers)Rita Del Giudice (1 shared paper)W P Tsai (1 shared paper)Howard P. Charman (2 shared papers)Kathleen Dungan (3 shared papers)
- Journals
- Journal of General Virology (4 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Journal of Virology (3 papers)International Journal of Cancer (2 papers)Virology (2 papers)
- Partner nations
- United StatesAustraliaIran
In The Last Decade
Clarine Long
32 papers receiving 443 citations
Peers
Comparison fields: 5 of 70
- Virology 45
- Immunology 169
- Agronomy and Crop Science 72
- Animal Science and Zoology 69
- Microbiology 33
Countries citing papers authored by Clarine Long
This map shows the geographic impact of Clarine Long'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 Clarine Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clarine Long more than expected).
Fields of papers citing papers by Clarine Long
This network shows the impact of papers produced by Clarine Long. 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 Clarine Long. The network helps show where Clarine Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Clarine Long, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 74 | |
| 2 | 1975 | 66 | |
| 3 | 1976 | 57 | |
| 4 | 1975 | 52 | |
| 5 | 2019 | 30 | |
| 6 | 1973 | 28 | |
| 7 | 1980 | 25 | |
| 8 | 1973 | 19 | |
| 9 | 1978 | 19 | |
| 10 | 1973 | 15 | |
| 11 | 1972 | 15 | |
| 12 | 1973 | 14 | |
| 13 | 1977 | 13 | |
| 14 | 1977 | 11 | |
| 15 | 1980 | 11 | |
| 16 | 1975 | 10 | |
| 17 | 2024 | 8 | |
| 18 | 2025 | 8 | |
| 19 | Analysis of transcription during type C viral induction using cell permeabilization techniques. | 1980 | 8 |
| 20 | 1981 | 7 |
About Clarine Long
Clarine Long is a scholar working on Genetics, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 33 papers that have together received 526 indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Animal Virus Infections Studies (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Herpesvirus Infections and Treatments (3 papers), Diabetes Management and Research (2 papers), Thyroid and Parathyroid Surgery (2 papers) and Diversity and Career in Medicine (2 papers). The work is most often cited by research in Virology (45 citations), Immunology (169 citations), Agronomy and Crop Science (72 citations), Animal Science and Zoology (69 citations) and Microbiology (33 citations). Clarine Long has collaborated with scholars based in United States, Australia and Iran. Frequent co-authors include Masakazu Hatanaka, Raymond V. Gilden, Myriam Scherer, Stephen Oroszlan, Rita Del Giudice, W P Tsai, Howard P. Charman, Kathleen Dungan, M. J. Van Der Maaten and L O Arthur. Their work appears in journals such as Journal of General Virology, The Journal of Clinical Endocrinology & Metabolism, Journal of Virology, International Journal of Cancer and 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.