Paul Fields
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Genetics top 2%
- Virus-based gene therapy research
Papers in
- Co-authors
- Katherine A. High (8 shared papers)Roland W. Herzog (8 shared papers)Laurie A. Boyer (4 shared papers)J. Nathan Hagstrom (5 shared papers)Linda B. Couto (5 shared papers)Valder R. Arruda (7 shared papers)Lauren E. Surface (3 shared papers)Vincent L. Butty (2 shared papers)
- Journals
- Blood (4 papers)Frontiers in Immunology (3 papers)Molecular Therapy (3 papers)Gastroenterology (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Paul Fields
48 papers receiving 3.3k citations
Paul Fields's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 644
- Genetics 1.2k
- Oncology 763
- Molecular Biology 2.0k
- Infectious Diseases 454
Countries citing papers authored by Paul Fields
This map shows the geographic impact of Paul Fields'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 Paul Fields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Fields more than expected).
Fields of papers citing papers by Paul Fields
This network shows the impact of papers produced by Paul Fields. 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 Paul Fields. The network helps show where Paul Fields may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Fields, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Braveheart, a Long Noncoding RNA Required for Cardiovascular Lineage Commitment Hit paper breakdown → | 2013 | 780 |
| 2 | 1999 | 477 | |
| 3 | Immunogenicity of Ad26.COV2.S vaccine against SARS-CoV-2 variants in humans Hit paper breakdown → | 2021 | 252 |
| 4 | 2019 | 159 | |
| 5 | 2001 | 135 | |
| 6 | 2002 | 128 | |
| 7 | 2000 | 117 | |
| 8 | 2001 | 110 | |
| 9 | 2019 | 109 | |
| 10 | 2001 | 96 | |
| 11 | 2023 | 88 | |
| 12 | 2021 | 80 | |
| 13 | 2015 | 77 | |
| 14 | 2000 | 67 | |
| 15 | 2010 | 65 | |
| 16 | 2000 | 57 | |
| 17 | 2019 | 56 | |
| 18 | 2019 | 55 | |
| 19 | 2023 | 51 | |
| 20 | 2013 | 51 |
About Paul Fields
Paul Fields is a scholar working on Oncology, Genetics, Hematology, Transplantation and Immunology, having authored 50 papers that have together received 3.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Virus-based gene therapy research (10 papers), CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (644 citations), Genetics (1.2k citations), Oncology (763 citations), Molecular Biology (2.0k citations) and Infectious Diseases (454 citations). Paul Fields has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Katherine A. High, Roland W. Herzog, Laurie A. Boyer, J. Nathan Hagstrom, Linda B. Couto, Valder R. Arruda, Lauren E. Surface, Vincent L. Butty, Timothy C. Nichols and Matthew L. Steinhauser. Their work appears in journals such as Blood, Frontiers in Immunology, Molecular Therapy, Gastroenterology and Clinical Cancer 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.