Kaela Parkhouse
- Epidemiology top 5%
- Infectious Diseases top 5%
- Molecular Biology
- Immunology top 10%
- Agronomy and Crop Science top 5%
- Co-authors
- Scott E. HensleySeth J. ZostSarah CobeyMegan E. GuminaPatrick C. WilsonKangchon KimJohn J. TreanorAndrea J. Sant
- Topics
- Influenza Virus Research Studies (13 papers)Respiratory viral infections research (8 papers)Immune Response and Inflammation (5 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Kaela Parkhouse
14 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Epidemiology 856
- Infectious Diseases 465
- Molecular Biology 418
- Immunology 390
- Agronomy and Crop Science 129
Countries citing papers authored by Kaela Parkhouse
This map shows the geographic impact of Kaela Parkhouse'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 Kaela Parkhouse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaela Parkhouse more than expected).
Fields of papers citing papers by Kaela Parkhouse
This network shows the impact of papers produced by Kaela Parkhouse. 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 Kaela Parkhouse. The network helps show where Kaela Parkhouse may publish in the future.
Co-authorship network of co-authors of Kaela Parkhouse
This figure shows the co-authorship network connecting the top 25 collaborators of Kaela Parkhouse. A scholar is included among the top collaborators of Kaela Parkhouse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaela Parkhouse. Kaela Parkhouse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | A multivalent nucleoside-modified mRNA vaccine against all known influenza virus subtypesbreakdown → | 218 |
| 3 | 42 | |
| 4 | 23 | |
| 5 | 1 | |
| 6 | 27 | |
| 7 | Nucleoside-modified mRNA immunization elicits influenza virus hemagglutinin stalk-specific antibodiesbreakdown → | 201 |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 46 | |
| 11 | Contemporary H3N2 influenza viruses have a glycosylation site that alters binding of antibodies elicited by egg-adapted vaccine strainsbreakdown → | 399 |
| 12 | 107 | |
| 13 | 50 | |
| 14 | 0 | |
| 15 | 166 |
About Kaela Parkhouse
Kaela Parkhouse is a scholar working on Epidemiology, Agronomy and Crop Science and Immunology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (8 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Infectious Diseases (465 citations), Epidemiology (856 citations) and Immunology (390 citations). Kaela Parkhouse has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Scott E. Hensley, Seth J. Zost, Sarah Cobey, Megan E. Gumina, Patrick C. Wilson, Kangchon Kim, John J. Treanor, Andrea J. Sant, Benjamin S. Chambers and Norbert Pardi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.