Louise Wilkinson

68 total papers · 2.2k total citations
42 papers, 1.2k citations indexed

About

Louise Wilkinson is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Louise Wilkinson has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 24 papers in Pulmonary and Respiratory Medicine and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Louise Wilkinson's work include AI in cancer detection (26 papers), Digital Radiography and Breast Imaging (23 papers) and Breast Lesions and Carcinomas (9 papers). Louise Wilkinson is often cited by papers focused on AI in cancer detection (26 papers), Digital Radiography and Breast Imaging (23 papers) and Breast Lesions and Carcinomas (9 papers). Louise Wilkinson collaborates with scholars based in United Kingdom, United States and Belgium. Louise Wilkinson's co-authors include Toral Gathani, Nisha Sharma, Val Thomas, Rosalind Given-Wilson, Sue Hudson, Ivan J. Perry, D G Beevers, R A Shinton, Samantha L. Heller and Henry Potts and has published in prestigious journals such as British Journal of Cancer, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Louise Wilkinson

40 papers receiving 1.1k citations

Hit Papers

Understanding breast canc... 2021 2026 2022 2024 2021 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Louise Wilkinson 368 280 267 259 257 42 1.2k
Isabel Amendoeira 614 1.7× 367 1.3× 225 0.8× 179 0.7× 445 1.7× 45 1.5k
Matthew R. Jensen 476 1.3× 558 2.0× 237 0.9× 444 1.7× 213 0.8× 47 1.3k
Marina Álvarez Benito 382 1.0× 162 0.6× 179 0.7× 180 0.7× 119 0.5× 53 1.3k
Christian R. Loehberg 539 1.5× 362 1.3× 169 0.6× 202 0.8× 679 2.6× 59 1.5k
Tai‐Kuang Chao 189 0.5× 141 0.5× 241 0.9× 241 0.9× 270 1.1× 59 1.5k
Fiorella Guadagni 236 0.6× 140 0.5× 137 0.5× 89 0.3× 149 0.6× 43 977
Andrzej Stanisławek 401 1.1× 138 0.5× 98 0.4× 69 0.3× 253 1.0× 39 1.1k
Shaoyuan Lei 427 1.2× 196 0.7× 121 0.5× 80 0.3× 187 0.7× 16 1.0k
Uma Krishnamurti 657 1.8× 193 0.7× 217 0.8× 64 0.2× 358 1.4× 55 1.4k
Jin Zhou 161 0.4× 118 0.4× 315 1.2× 75 0.3× 213 0.8× 57 948

Countries citing papers authored by Louise Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Louise Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louise Wilkinson

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