Goska Leslie

77 total papers · 3.9k total citations
7 papers, 112 citations indexed

About

Goska Leslie is a scholar working on Oncology, Artificial Intelligence and Genetics. According to data from OpenAlex, Goska Leslie has authored 7 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Goska Leslie's work include AI in cancer detection (3 papers), Global Cancer Incidence and Screening (3 papers) and Genetic Associations and Epidemiology (2 papers). Goska Leslie is often cited by papers focused on AI in cancer detection (3 papers), Global Cancer Incidence and Screening (3 papers) and Genetic Associations and Epidemiology (2 papers). Goska Leslie collaborates with scholars based in United Kingdom, Sweden and Canada. Goska Leslie's co-authors include Antonis C. Antoniou, Andrew Lee, Xin Yang, Per Hall, Leila Dorling, Tokhir Dadaev, Mikael Eriksson, Joe Dennis, Tommy Nyberg and Michael Lush and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and European Urology.

In The Last Decade

Goska Leslie

5 papers receiving 111 citations

Author Peers

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

Author Last Decade Papers Cites
Goska Leslie 53 43 38 23 17 7 112
Catherine Elliott 48 0.9× 80 1.9× 33 0.9× 45 2.0× 14 0.8× 10 130
Fionnuala A. McDyer 30 0.6× 32 0.7× 14 0.4× 37 1.6× 89 5.2× 9 138
Daniel Flora 35 0.7× 69 1.6× 20 0.5× 16 0.7× 8 0.5× 8 108
Rubens Rd 29 0.5× 72 1.7× 38 1.0× 51 2.2× 8 0.5× 9 127
Maruta A. Blatchins 63 1.2× 41 1.0× 40 1.1× 33 1.4× 70 4.1× 10 222
Bethany Torr 64 1.2× 17 0.4× 14 0.4× 23 1.0× 61 3.6× 8 121
Beata Kozak‐Klonowska 88 1.7× 48 1.1× 10 0.3× 33 1.4× 42 2.5× 5 150
Tom Van Maerken 52 1.0× 27 0.6× 14 0.4× 37 1.6× 54 3.2× 6 103
P. H. Peeters 14 0.3× 83 1.9× 14 0.4× 46 2.0× 18 1.1× 5 114
Kathi Malone 51 1.0× 120 2.8× 36 0.9× 39 1.7× 38 2.2× 10 228

Countries citing papers authored by Goska Leslie

Since Specialization
Citations

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

Fields of papers citing papers by Goska Leslie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goska Leslie

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