Laura Searle

12 total papers · 539 total citations
9 papers, 362 citations indexed

About

Laura Searle is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Laura Searle has authored 9 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 2 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Laura Searle's work include Viral Infections and Vectors (5 papers), Vector-Borne Animal Diseases (2 papers) and Viral Infections and Outbreaks Research (2 papers). Laura Searle is often cited by papers focused on Viral Infections and Vectors (5 papers), Vector-Borne Animal Diseases (2 papers) and Viral Infections and Outbreaks Research (2 papers). Laura Searle collaborates with scholars based in United Kingdom and Zimbabwe. Laura Searle's co-authors include Robert Swanepoel, Ashley Shepherd, S. P. Shepherd, Gillian McGillivray, Patricia A. Leman, Douglas E. Gill, M. J. Erasmus, N. K. Blackburn, R. J. Phelps and J. Hutchinson and has published in prestigious journals such as Science, Journal of Clinical Microbiology and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Laura Searle

9 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
Laura Searle 300 183 160 85 27 9 362
J. Casals 306 1.0× 127 0.7× 192 1.2× 54 0.6× 27 1.0× 10 371
William P. Sweeney 264 0.9× 82 0.4× 161 1.0× 107 1.3× 30 1.1× 8 385
Luiz Tadeu Moraes Figueiredo 287 1.0× 107 0.6× 183 1.1× 70 0.8× 15 0.6× 19 355
Adel W. Salib 345 1.1× 130 0.7× 155 1.0× 82 1.0× 11 0.4× 12 402
Farah Al‐Shorbaji 253 0.8× 65 0.4× 121 0.8× 50 0.6× 21 0.8× 5 365
Silvana Levis 313 1.0× 58 0.3× 208 1.3× 111 1.3× 10 0.4× 19 398
S. Ya. Gaĭdamovich 331 1.1× 127 0.7× 223 1.4× 44 0.5× 12 0.4× 19 393
Gloria Duno 309 1.0× 62 0.3× 132 0.8× 91 1.1× 11 0.4× 11 354
Veronica V. Rezelj 277 0.9× 89 0.5× 142 0.9× 19 0.2× 12 0.4× 17 396
Ivano Broz 275 0.9× 127 0.7× 70 0.4× 20 0.2× 55 2.0× 6 383

Countries citing papers authored by Laura Searle

Since Specialization
Citations

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

Fields of papers citing papers by Laura Searle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Searle. 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 Laura Searle. The network helps show where Laura Searle may publish in the future.

Co-authorship network of co-authors of Laura Searle

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Searle. A scholar is included among the top collaborators of Laura Searle 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 Laura Searle. Laura Searle 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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