Kylie E. C. Ainslie

117 total papers · 15.7k total citations
32 papers, 610 citations indexed

About

Kylie E. C. Ainslie is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Kylie E. C. Ainslie has authored 32 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 18 papers in Modeling and Simulation and 12 papers in Epidemiology. Recurrent topics in Kylie E. C. Ainslie's work include COVID-19 epidemiological studies (18 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and Influenza Virus Research Studies (11 papers). Kylie E. C. Ainslie is often cited by papers focused on COVID-19 epidemiological studies (18 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and Influenza Virus Research Studies (11 papers). Kylie E. C. Ainslie collaborates with scholars based in United Kingdom, Netherlands and United States. Kylie E. C. Ainslie's co-authors include Michael Haber, Steven Riley, William Barclay, Christl A. Donnelly, Christina Atchison, Paul Elliott, Ara Darzi, Graham Cooke, Deborah Ashby and Helen Ward and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Kylie E. C. Ainslie

32 papers receiving 600 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kylie E. C. Ainslie	404	258	175	115	60	32	610
Emilio Dirlikov	275 0.7×	156 0.6×	133 0.8×	86 0.7×	104 1.7×	28	605
Marcello Tirani	284 0.7×	192 0.7×	119 0.7×	73 0.6×	54 0.9×	26	555
Zeyao Zhao	467 1.2×	274 1.1×	79 0.5×	121 1.1×	43 0.7×	14	657
Maria Gramegna	267 0.7×	172 0.7×	240 1.4×	92 0.8×	54 0.9×	35	632
Toon Braeye	248 0.6×	130 0.5×	163 0.9×	121 1.1×	27 0.5×	36	499
Nathan W. Furukawa	379 0.9×	141 0.5×	227 1.3×	61 0.5×	70 1.2×	21	639
Kiren Mitruka	394 1.0×	88 0.3×	260 1.5×	103 0.9×	46 0.8×	22	693
Asad Zaidi	478 1.2×	171 0.7×	62 0.4×	77 0.7×	50 0.8×	13	588
Sabine Vygen-Bonnet	323 0.8×	71 0.3×	121 0.7×	206 1.8×	45 0.8×	24	628
Patrick Ayscue	327 0.8×	112 0.4×	127 0.7×	46 0.4×	30 0.5×	19	698

Countries citing papers authored by Kylie E. C. Ainslie

Since Specialization

Citations

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

Fields of papers citing papers by Kylie E. C. Ainslie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kylie E. C. Ainslie. 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 Kylie E. C. Ainslie. The network helps show where Kylie E. C. Ainslie may publish in the future.

Co-authorship network of co-authors of Kylie E. C. Ainslie

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

All Works

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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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