Kaela Parkhouse

2.6k total citations · 3 hit papers
15 papers, 1.3k citations indexed

About

Kaela Parkhouse is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Kaela Parkhouse has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 6 papers in Immunology and 5 papers in Infectious Diseases. Recurrent topics in Kaela Parkhouse's work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (8 papers) and Immune Response and Inflammation (5 papers). Kaela Parkhouse is often cited by papers focused on Influenza Virus Research Studies (13 papers), Respiratory viral infections research (8 papers) and Immune Response and Inflammation (5 papers). Kaela Parkhouse collaborates with scholars based in United States, Germany and Israel. Kaela Parkhouse's co-authors include Scott E. Hensley, Seth J. Zost, Sarah Cobey, Patrick C. Wilson, Megan E. Gumina, Andrea J. Sant, John J. Treanor, Kangchon Kim, Benjamin S. Chambers and Kevin Alby and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Kaela Parkhouse

14 papers receiving 1.3k citations

Hit Papers

Contemporary H3N2 influen... 2017 2026 2020 2023 2017 2022 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaela Parkhouse United States 10 856 465 418 390 129 15 1.3k
Caitlin E. Mullarkey Canada 18 1.1k 1.3× 423 0.9× 255 0.6× 694 1.8× 98 0.8× 21 1.5k
Gerrie de Mutsert Netherlands 21 1.3k 1.5× 311 0.7× 299 0.7× 811 2.1× 214 1.7× 23 1.5k
Celia Santos United States 18 1.1k 1.3× 476 1.0× 165 0.4× 444 1.1× 373 2.9× 27 1.3k
Matthew Angel United States 20 930 1.1× 471 1.0× 300 0.7× 479 1.2× 268 2.1× 31 1.4k
Kutubuddin Mahmood United States 19 1.3k 1.5× 476 1.0× 246 0.6× 817 2.1× 172 1.3× 26 1.7k
Graeme E. Price United States 16 822 1.0× 248 0.5× 186 0.4× 779 2.0× 71 0.6× 26 1.2k
Gerald Aichinger Austria 19 397 0.5× 254 0.5× 336 0.8× 647 1.7× 58 0.4× 31 1.2k
Yuichiro Nakatsu Japan 17 719 0.8× 783 1.7× 232 0.6× 314 0.8× 49 0.4× 32 1.3k
William A. Langley United States 11 612 0.7× 254 0.5× 346 0.8× 619 1.6× 47 0.4× 16 1.3k
Julia Romanova Austria 20 1.0k 1.2× 369 0.8× 331 0.8× 576 1.5× 150 1.2× 45 1.4k

Countries citing papers authored by Kaela Parkhouse

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

15 of 15 papers shown
1.
Gouma, Sigrid, Colleen Furey, Jefferson Santos, et al.. (2022). Nucleoside-Modified mRNA-Based Influenza Vaccines Circumvent Problems Associated with H3N2 Vaccine Strain Egg Adaptation. Journal of Virology. 97(1). e0172322–e0172322. 7 indexed citations
2.
Arevalo, Claudia P., Marcus J. Bolton, Valerie Le Sage, et al.. (2022). A multivalent nucleoside-modified mRNA vaccine against all known influenza virus subtypes. Science. 378(6622). 899–904. 218 indexed citations breakdown →
3.
Willis, Elinor, Norbert Pardi, Kaela Parkhouse, et al.. (2020). Nucleoside-modified mRNA vaccination partially overcomes maternal antibody inhibition of de novo immune responses in mice. Science Translational Medicine. 12(525). 42 indexed citations
4.
Zost, Seth J., Juhye Lee, Megan E. Gumina, et al.. (2019). Identification of Antibodies Targeting the H3N2 Hemagglutinin Receptor Binding Site following Vaccination of Humans. Cell Reports. 29(13). 4460–4470.e8. 23 indexed citations
5.
Zost, Seth J., Juhye Lee, Megan E. Gumina, et al.. (2019). Identification of Antibodies Targeting the H3N2 Hemagglutinin Receptor Binding Site Following Vaccination of Humans. SSRN Electronic Journal. 1 indexed citations
6.
Gouma, Sigrid, Seth J. Zost, Kaela Parkhouse, et al.. (2019). Comparison of Human H3N2 Antibody Responses Elicited by Egg-Based, Cell-Based, and Recombinant Protein–Based Influenza Vaccines During the 2017–2018 Season. Clinical Infectious Diseases. 71(6). 1447–1453. 27 indexed citations
8.
Henrickson, Sarah E., Sasikanth Manne, Douglas V. Dolfi, et al.. (2018). Genomic Circuitry Underlying Immunological Response to Pediatric Acute Respiratory Infection. Cell Reports. 22(2). 411–426. 9 indexed citations
9.
Pardi, Norbert, Kaela Parkhouse, Ericka Kirkpatrick, et al.. (2018). Nucleoside-modified mRNA immunization elicits influenza virus hemagglutinin stalk-specific antibodies. Nature Communications. 9(1). 3361–3361. 201 indexed citations breakdown →
10.
Cobey, Sarah, Sigrid Gouma, Kaela Parkhouse, et al.. (2018). Poor Immunogenicity, Not Vaccine Strain Egg Adaptation, May Explain the Low H3N2 Influenza Vaccine Effectiveness in 2012–2013. Clinical Infectious Diseases. 67(3). 327–333. 46 indexed citations
11.
Zost, Seth J., Kaela Parkhouse, Megan E. Gumina, et al.. (2017). Contemporary H3N2 influenza viruses have a glycosylation site that alters binding of antibodies elicited by egg-adapted vaccine strains. Proceedings of the National Academy of Sciences. 114(47). 12578–12583. 399 indexed citations breakdown →
12.
Herati, Ramin S., Alexander Muselman, Laura A. Vella, et al.. (2017). Successive annual influenza vaccination induces a recurrent oligoclonotypic memory response in circulating T follicular helper cells. Science Immunology. 2(8). 107 indexed citations
13.
Petrie, Joshua G., Kaela Parkhouse, Suzanne E. Ohmit, et al.. (2016). Antibodies Against the Current Influenza A(H1N1) Vaccine Strain Do Not Protect Some Individuals From Infection With Contemporary Circulating Influenza A(H1N1) Virus Strains. The Journal of Infectious Diseases. 214(12). 1947–1951. 50 indexed citations
14.
Willis, Elinor, Kaela Parkhouse, Florian Krammer, & Scott E. Hensley. (2016). Canine H3N8 influenza vaccines partially protect mice against the canine H3N2 strain currently circulating in the United States. Vaccine. 34(46). 5483–5487.
15.
Chambers, Benjamin S., Kaela Parkhouse, Ted M. Ross, Kevin Alby, & Scott E. Hensley. (2015). Identification of Hemagglutinin Residues Responsible for H3N2 Antigenic Drift during the 2014–2015 Influenza Season. Cell Reports. 12(1). 1–6. 166 indexed citations

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.

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