Kristen E. Pascal
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- Viral Infections and Outbreaks Research 1
-
- Gut microbiota and health 2
- Co-authors
- Neil Stahl (2 shared papers)George D. Yancopoulos (2 shared papers)Christos A. Kyratsous (3 shared papers)Richard Copin (1 shared paper)Stephanie Giordano (1 shared paper)Andrew Murphy (1 shared paper)Elzbieta Wloga (1 shared paper)Nicole Negron (1 shared paper)
- Journals
- Microbes and Infection (2 papers)Proceedings of the National Academy of Sciences (1 paper)EBioMedicine (1 paper)Science (1 paper)Molecular and Cellular Probes (1 paper)
- Partner nations
- United States
In The Last Decade
Kristen E. Pascal
5 papers receiving 1000 citations
Kristen E. Pascal's Hit Papers
Peers
Comparison fields: 5 of 75
- Infectious Diseases 814
- Animal Science and Zoology 166
- Microbiology 91
- Modeling and Simulation 30
- Radiology, Nuclear Medicine and Imaging 140
Countries citing papers authored by Kristen E. Pascal
This map shows the geographic impact of Kristen E. Pascal'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 Kristen E. Pascal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristen E. Pascal more than expected).
Fields of papers citing papers by Kristen E. Pascal
This network shows the impact of papers produced by Kristen E. Pascal. 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 Kristen E. Pascal. The network helps show where Kristen E. Pascal may publish in the future.
Co-authors
The 25 scholars most cited alongside Kristen E. Pascal, 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 | Antibody cocktail to SARS-CoV-2 spike protein prevents rapid mutational escape seen with individual antibodies Hit paper breakdown → | 2020 | 719 |
| 2 | 2015 | 172 | |
| 3 | 2008 | 78 | |
| 4 | 2007 | 35 | |
| 5 | 2007 | 18 | |
| 6 | 2024 | 0 |
About Kristen E. Pascal
Kristen E. Pascal is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Microbiology and Animal Science and Zoology, having authored 6 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive tract infections research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Gut microbiota and health (2 papers), Urinary Tract Infections Management (2 papers), Hepatitis B Virus Studies (1 paper), Viral Infections and Outbreaks Research (1 paper), Escherichia coli research studies (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (814 citations), Animal Science and Zoology (166 citations), Microbiology (91 citations), Modeling and Simulation (30 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Kristen E. Pascal has collaborated with scholars based in United States. Frequent co-authors include Neil Stahl, George D. Yancopoulos, Christos A. Kyratsous, Richard Copin, Stephanie Giordano, Andrew Murphy, Elzbieta Wloga, Nicole Negron, Min Ni and Kathryn Lanza. Their work appears in journals such as Microbes and Infection, Proceedings of the National Academy of Sciences, EBioMedicine, Science and Molecular and Cellular Probes.
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.