Julia C. Frederick

642 total citations
9 papers, 92 citations indexed

About

Julia C. Frederick is a scholar working on Parasitology, Insect Science and Infectious Diseases. According to data from OpenAlex, Julia C. Frederick has authored 9 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Parasitology, 4 papers in Insect Science and 3 papers in Infectious Diseases. Recurrent topics in Julia C. Frederick's work include Vector-borne infectious diseases (5 papers), Insect symbiosis and bacterial influences (3 papers) and Influenza Virus Research Studies (2 papers). Julia C. Frederick is often cited by papers focused on Vector-borne infectious diseases (5 papers), Insect symbiosis and bacterial influences (3 papers) and Influenza Virus Research Studies (2 papers). Julia C. Frederick collaborates with scholars based in United States, Australia and Netherlands. Julia C. Frederick's co-authors include Travis C. Glenn, Dan Cui, Taronna R. Maines, Joanna A. Pulit-Penaloza, Nicole S. Paulat, Troy J. Kieran, Xiangjie Sun, Daniel M. Portik, Yan Wang and Vipin Singh Rana and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Genome biology.

In The Last Decade

Julia C. Frederick

6 papers receiving 88 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia C. Frederick United States 4 40 39 34 26 16 9 92
Nick Juleff United States 7 57 1.4× 79 2.0× 17 0.5× 14 0.5× 75 4.7× 9 143
Antônio Roberto Rodrigues Abatepaulo Brazil 5 81 2.0× 24 0.6× 33 1.0× 25 1.0× 28 1.8× 6 137
James Nyagwange Kenya 6 31 0.8× 38 1.0× 8 0.2× 6 0.2× 17 1.1× 9 75
Hamza A. Babiker Oman 8 96 2.4× 60 1.5× 16 0.5× 46 1.8× 59 3.7× 19 166
Arianne Brown Jordan Trinidad and Tobago 9 13 0.3× 52 1.3× 44 1.3× 3 0.1× 20 1.3× 13 143
Charlotte Tolley United Kingdom 5 32 0.8× 28 0.7× 38 1.1× 12 0.5× 4 0.3× 9 118
Phil Toye United Kingdom 5 17 0.4× 24 0.6× 20 0.6× 3 0.1× 40 2.5× 10 126
Hannah Davies United Kingdom 5 7 0.2× 17 0.4× 28 0.8× 19 0.7× 27 1.7× 19 115
Marie-Fleur Durieux France 5 71 1.8× 22 0.6× 49 1.4× 19 0.7× 3 0.2× 7 131
Nicole Desbois-Nogard Martinique 7 36 0.9× 31 0.8× 41 1.2× 14 0.5× 3 0.2× 12 113

Countries citing papers authored by Julia C. Frederick

Since Specialization
Citations

This map shows the geographic impact of Julia C. Frederick'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 Julia C. Frederick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia C. Frederick more than expected).

Fields of papers citing papers by Julia C. Frederick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia C. Frederick. 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 Julia C. Frederick. The network helps show where Julia C. Frederick may publish in the future.

Co-authorship network of co-authors of Julia C. Frederick

This figure shows the co-authorship network connecting the top 25 collaborators of Julia C. Frederick. A scholar is included among the top collaborators of Julia C. Frederick 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 Julia C. Frederick. Julia C. Frederick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Ronai, Isobel, Julia C. Frederick, Alec T. Thompson, et al.. (2025). Duplex PCR assay to determine sex and mating status of Ixodes scapularis (Acari: Ixodidae), vector of the Lyme disease pathogen. Journal of Medical Entomology. 62(4). 800–807. 1 indexed citations
3.
Tobolowsky, Farrell A., Eric Morris, Jan Clément, et al.. (2025). Highly Pathogenic Avian Influenza A(H5N1) Virus Infection in a Child with No Known Exposure — San Francisco, California, December 2024–January 2025. MMWR Morbidity and Mortality Weekly Report. 74(33). 522–527. 1 indexed citations
4.
Pulit-Penaloza, Joanna A., Nicole Brock, Jessica A. Belser, et al.. (2024). Highly pathogenic avian influenza A(H5N1) virus of clade 2.3.4.4b isolated from a human case in Chile causes fatal disease and transmits between co-housed ferrets. Emerging Microbes & Infections. 13(1). 2332667–2332667. 36 indexed citations
5.
Frederick, Julia C., Alec T. Thompson, Guha Dharmarajan, et al.. (2023). Phylogeography of the blacklegged tick (Ixodes scapularis) throughout the USA identifies candidate loci for differences in vectorial capacity. Molecular Ecology. 32(12). 3133–3149. 7 indexed citations
6.
De, Sandip, Sarah B. Kingan, Chrysoula Kitsou, et al.. (2023). A high-quality Ixodes scapularis genome advances tick science. Nature Genetics. 55(2). 301–311. 39 indexed citations
7.
Ribeiro, José M. C., Natalia J. Bayona‐Vásquez, Khemraj Budachetri, et al.. (2022). A draft of the genome of the Gulf Coast tick, Amblyomma maculatum. Ticks and Tick-borne Diseases. 14(2). 102090–102090. 7 indexed citations
8.
Frederick, Julia C.. (2022). Peer Review of “Mask Use to Curtail Influenza in a Post–COVID-19 World: Modeling Study”. SHILAP Revista de lepidopterología. 3(2). e37240–e37240.
9.
Berardi, Vincent, et al.. (2021). Stair versus elevator use in a university residence hall setting. Journal of American College Health. 71(4). 997–1002. 1 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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