Patrick S. Moore
- Oncology top 0.01%
- Viral-associated cancers and disorders 100
- Polyomavirus and related diseases 46
- Epidemiology top 0.02%
- Cytomegalovirus and herpesvirus research 99
- Herpesvirus Infections and Treatments 74
- Infectious Diseases top 0.05%
- Parvovirus B19 Infection Studies 28
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment 30
- Physiology top 0.2%
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- Full-Duplex Wireless Communications 30
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- Plant Virus Research Studies 23
- Co-authors
- Yuan ChangEthel CesarmanDaniel M. KnowlesMasahiro ShudaHuichen FengFrank LeeJanice CulpepperMelissa S. Pessin
- Journals
- Journal of Virology (16 papers)Blood (10 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Patrick S. Moore
281 papers receiving 31.2k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Oncology 24.9k
- Epidemiology 13.7k
- Infectious Diseases 6.6k
- Pathology and Forensic Medicine 5.0k
- Physiology 4.4k
Countries citing papers authored by Patrick S. Moore
This map shows the geographic impact of Patrick S. Moore'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 Patrick S. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick S. Moore more than expected).
Fields of papers citing papers by Patrick S. Moore
This network shows the impact of papers produced by Patrick S. Moore. 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 Patrick S. Moore. The network helps show where Patrick S. Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick S. Moore, 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 | 2023 | 8 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 35 | |
| 7 | 2021 | 30 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 35 | |
| 10 | 2019 | 22 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 203 | |
| 13 | 2017 | 43 | |
| 14 | 2017 | 19 | |
| 15 | 2017 | 74 | |
| 16 | 2016 | 18 | |
| 17 | 2015 | 53 | |
| 18 | 2010 | 339 | |
| 19 | T antigen mutations are a human tumor-specific signature for Merkel cell polyomavirusbreakdown → | 2008 | 550 |
| 20 | Clonal Integration of a Polyomavirus in Human Merkel Cell Carcinomabreakdown → | 2008 | 2212 |
About Patrick S. Moore
Patrick S. Moore is a scholar working on Oncology, Epidemiology and Parasitology, having authored 284 papers that have together received 31.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (100 papers), Cytomegalovirus and herpesvirus research (99 papers), Herpesvirus Infections and Treatments (74 papers), Polyomavirus and related diseases (46 papers), Lymphoma Diagnosis and Treatment (30 papers), Full-Duplex Wireless Communications (30 papers), Parvovirus B19 Infection Studies (28 papers) and Plant Virus Research Studies (23 papers). The work is most often cited by research in Oncology (24.9k citations), Epidemiology (13.7k citations) and Infectious Diseases (6.6k citations). Patrick S. Moore has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Yuan Chang, Ethel Cesarman, Daniel M. Knowles, Masahiro Shuda, Huichen Feng, Frank Lee, Janice Culpepper, Melissa S. Pessin, Jonathan Said and Chris Boshoff. Their work appears in journals such as Journal of Virology, Blood, Proceedings of the National Academy of Sciences, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Science.
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.