Casey Hanson
Impact in
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- Viral-associated cancers and disorders
- Polyomavirus and related diseases
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- Lymphoma Diagnosis and Treatment
Papers in
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- Genomics and Chromatin Dynamics 4
- Gene expression and cancer classification 2
- Genomics and Phylogenetic Studies 1
- Co-authors
- Saurabh Sinha (5 shared papers)K Gajl-Peczalska (1 shared paper)John H. Kersey (1 shared paper)B. A. Peterson (1 shared paper)Kenneth L. McClain (1 shared paper)Glauco Frizzera (1 shared paper)Junmei Cairns (2 shared papers)Ulla Delle (1 shared paper)
- Journals
- BMC Biology (1 paper)The Pharmacogenomics Journal (1 paper)Genome biology (1 paper)Journal of Clinical Investigation (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Casey Hanson
9 papers receiving 222 citations
Peers
Comparison fields: 5 of 60
- Oncology 88
- Pathology and Forensic Medicine 47
- Health Information Management 9
- Rheumatology 27
- Infectious Diseases 32
Countries citing papers authored by Casey Hanson
This map shows the geographic impact of Casey Hanson'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 Casey Hanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Hanson more than expected).
Fields of papers citing papers by Casey Hanson
This network shows the impact of papers produced by Casey Hanson. 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 Casey Hanson. The network helps show where Casey Hanson may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey Hanson, 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 | Clonal rearrangement for immunoglobulin and T-cell receptor genes in systemic Castleman's disease. Association with Epstein-Barr virus. | 1988 | 99 |
| 2 | 1990 | 34 | |
| 3 | 2013 | 19 | |
| 4 | A rapid and simplified technique for analysis of archival formalin-fixed, paraffin-embedded tissue by fluorescence in situ hybridization (FISH). | 1996 | 18 |
| 5 | 2016 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2015 | 11 | |
| 9 | 2019 | 10 |
About Casey Hanson
Casey Hanson is a scholar working on Molecular Biology, Infectious Diseases, Computer Networks and Communications, Cellular and Molecular Neuroscience and Oncology, having authored 9 papers that have together received 236 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Gene expression and cancer classification (2 papers), Internet Traffic Analysis and Secure E-voting (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), IgG4-Related and Inflammatory Diseases (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Oncology (88 citations), Pathology and Forensic Medicine (47 citations), Health Information Management (9 citations), Rheumatology (27 citations) and Infectious Diseases (32 citations). Casey Hanson has collaborated with scholars based in United States and Sweden. Frequent co-authors include Saurabh Sinha, K Gajl-Peczalska, John H. Kersey, B. A. Peterson, Kenneth L. McClain, Glauco Frizzera, Junmei Cairns, Ulla Delle, Ingrida Verbiené and ANNA WEIMARCK. Their work appears in journals such as BMC Biology, The Pharmacogenomics Journal, Genome biology, Journal of Clinical Investigation and Genome Research.
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.