Carolyn E. Shaw
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Oncology top 5%
- CAR-T cell therapy research
Papers in
-
- Herpesvirus Infections and Treatments 7
- Hepatitis B Virus Studies 3
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- Bacterial biofilms and quorum sensing 2
- Co-authors
- Avery D. Posey (4 shared papers)Carl H. June (3 shared papers)Regina M. Young (3 shared papers)Sònia Guedan (3 shared papers)Anna Wing (3 shared papers)Tong Da (2 shared papers)Robert K. Taylor (1 shared paper)Victoria Casado‐Medrano (2 shared papers)
- Journals
- Journal of Virology (5 papers)Vaccine (1 paper)Expert Review of Vaccines (1 paper)Gene (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Carolyn E. Shaw
15 papers receiving 1.3k citations
Carolyn E. Shaw's Hit Papers
Peers
Comparison fields: 5 of 54
- Endocrinology 184
- Oncology 727
- Immunology 374
- Virology 67
- Genetics 387
Countries citing papers authored by Carolyn E. Shaw
This map shows the geographic impact of Carolyn E. Shaw'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 Carolyn E. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolyn E. Shaw more than expected).
Fields of papers citing papers by Carolyn E. Shaw
This network shows the impact of papers produced by Carolyn E. Shaw. 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 Carolyn E. Shaw. The network helps show where Carolyn E. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Carolyn E. Shaw, 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 | Enhancing CAR T cell persistence through ICOS and 4-1BB costimulation Hit paper breakdown → | 2018 | 441 |
| 2 | 2018 | 207 | |
| 3 | 2020 | 130 | |
| 4 | 1990 | 92 | |
| 5 | 1988 | 88 | |
| 6 | 2011 | 68 | |
| 7 | 2017 | 53 | |
| 8 | 1993 | 52 | |
| 9 | 2014 | 48 | |
| 10 | 2012 | 47 | |
| 11 | 2013 | 37 | |
| 12 | 2017 | 23 | |
| 13 | 2015 | 19 | |
| 14 | 2014 | 7 | |
| 15 | 2023 | 3 |
About Carolyn E. Shaw
Carolyn E. Shaw is a scholar working on Epidemiology, Molecular Biology, Virology, Oncology and Endocrinology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (7 papers), Poxvirus research and outbreaks (4 papers), CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Vibrio bacteria research studies (3 papers), Hepatitis B Virus Studies (3 papers), Nanowire Synthesis and Applications (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Endocrinology (184 citations), Oncology (727 citations), Immunology (374 citations), Virology (67 citations) and Genetics (387 citations). Carolyn E. Shaw has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Avery D. Posey, Carl H. June, Regina M. Young, Sònia Guedan, Anna Wing, Tong Da, Robert K. Taylor, Victoria Casado‐Medrano, Harvey M. Friedman and Sita Awasthi. Their work appears in journals such as Journal of Virology, Vaccine, Expert Review of Vaccines, Gene and Human Vaccines & Immunotherapeutics.
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.