Gwen M. Taylor
- Virology top 5%
- HIV Research and Treatment 5
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 10
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- Immune Cell Function and Interaction 5
- Animal Science and Zoology top 10%
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- Cytomegalovirus and herpesvirus research 4
- Virology and Viral Diseases 3
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- Virus-based gene therapy research 7
- Craniofacial Disorders and Treatments 3
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- Bacteriophages and microbial interactions 3
- Co-authors
- David Avram SandersMargaret KielianPhyllis I. HansonYi GaoTerence S. DermodyKatie M. StilesYaw Shin OoiClaudia Sánchez-San Martín
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)Blood (1 paper)
- Partner nations
- United StatesBelgiumSpain
In The Last Decade
Gwen M. Taylor
26 papers receiving 599 citations
Peers
Comparison fields: 5 of 76
- Virology 107
- Infectious Diseases 185
- Immunology 162
- Animal Science and Zoology 55
- Epidemiology 155
Countries citing papers authored by Gwen M. Taylor
This map shows the geographic impact of Gwen M. Taylor'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 Gwen M. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwen M. Taylor more than expected).
Fields of papers citing papers by Gwen M. Taylor
This network shows the impact of papers produced by Gwen M. Taylor. 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 Gwen M. Taylor. The network helps show where Gwen M. Taylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gwen M. Taylor, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 28 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 35 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 4 | |
| 14 | 2013 | 65 | |
| 15 | 2011 | 38 | |
| 16 | 2007 | 71 | |
| 17 | 2003 | 3 | |
| 18 | 2003 | 30 | |
| 19 | 2001 | 52 | |
| 20 | 1999 | 45 |
About Gwen M. Taylor
Gwen M. Taylor is a scholar working on Virology, Infectious Diseases and Immunology, having authored 29 papers that have together received 601 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Virus-based gene therapy research (7 papers), HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Bacteriophages and microbial interactions (3 papers), Virology and Viral Diseases (3 papers) and Craniofacial Disorders and Treatments (3 papers). The work is most often cited by research in Virology (107 citations), Infectious Diseases (185 citations) and Immunology (162 citations). Gwen M. Taylor has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include David Avram Sanders, Margaret Kielian, Phyllis I. Hanson, Yi Gao, Terence S. Dermody, Katie M. Stiles, Yaw Shin Ooi, Claudia Sánchez-San Martín, Mahadevaiah Umashankar and Maofu Liao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.
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.