Catherine A. Seamon
Impact in
Papers in
- Co-authors
- Gregory James Kato (12 shared papers)Caterina P. Minniti (5 shared papers)James G. Taylor (3 shared papers)Patricia E. Adams-Graves (2 shared papers)Anna K. Conrey (3 shared papers)Susan L. Moir (6 shared papers)Tae‐Wook Chun (6 shared papers)Victoria Shi (5 shared papers)
- Journals
- Blood (3 papers)Science Translational Medicine (2 papers)Cell Reports (2 papers)American Journal of Hematology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Catherine A. Seamon
26 papers receiving 1.3k citations
Catherine A. Seamon's Hit Papers
Peers
Comparison fields: 5 of 50
- Virology 454
- Genetics 266
- Neurology 108
- Infectious Diseases 129
- Immunology 49
Countries citing papers authored by Catherine A. Seamon
This map shows the geographic impact of Catherine A. Seamon'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 Catherine A. Seamon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine A. Seamon more than expected).
Fields of papers citing papers by Catherine A. Seamon
This network shows the impact of papers produced by Catherine A. Seamon. 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 Catherine A. Seamon. The network helps show where Catherine A. Seamon may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine A. Seamon, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effect of HIV Antibody VRC01 on Viral Rebound after Treatment Interruption Hit paper breakdown → | 2016 | 395 |
| 2 | 2022 | 127 | |
| 3 | 2013 | 114 | |
| 4 | 2013 | 111 | |
| 5 | 2019 | 85 | |
| 6 | 2018 | 81 | |
| 7 | 2013 | 57 | |
| 8 | 2022 | 46 | |
| 9 | 2019 | 35 | |
| 10 | 2013 | 34 | |
| 11 | 2022 | 32 | |
| 12 | Time to HIV viral rebound and frequency of post-treatment control after analytical interruption of antiretroviral therapy: an individual data-based meta-analysis of 24 prospective studies Hit paper breakdown → | 2025 | 32 |
| 13 | 2020 | 27 | |
| 14 | 2023 | 21 | |
| 15 | 2012 | 17 | |
| 16 | 2013 | 17 | |
| 17 | 2014 | 15 | |
| 18 | 2013 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2009 | 8 |
About Catherine A. Seamon
Catherine A. Seamon is a scholar working on Virology, Genetics, Infectious Diseases, Neurology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (9 papers), HIV Research and Treatment (9 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pulmonary Hypertension Research and Treatments (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Virology (454 citations), Genetics (266 citations), Neurology (108 citations), Infectious Diseases (129 citations) and Immunology (49 citations). Catherine A. Seamon has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Gregory James Kato, Caterina P. Minniti, James G. Taylor, Patricia E. Adams-Graves, Anna K. Conrey, Susan L. Moir, Tae‐Wook Chun, Victoria Shi, Erin D. Huiting and Michael C. Sneller. Their work appears in journals such as Blood, Science Translational Medicine, Cell Reports, American Journal of Hematology and Journal of Clinical Investigation.
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.