Tina Audley

23 total papers · 575 total citations
5 papers, 120 citations indexed

About

Tina Audley is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence. According to data from OpenAlex, Tina Audley has authored 5 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Oncology and 2 papers in Artificial Intelligence. Recurrent topics in Tina Audley's work include AI in cancer detection (2 papers), Global Cancer Incidence and Screening (2 papers) and Digital Radiography and Breast Imaging (2 papers). Tina Audley is often cited by papers focused on AI in cancer detection (2 papers), Global Cancer Incidence and Screening (2 papers) and Digital Radiography and Breast Imaging (2 papers). Tina Audley collaborates with scholars based in United Kingdom, United States and France. Tina Audley's co-authors include Jean Leyland, Judith Brown, Douglas F. Easton, Elizabeth Folkerd, Mitch Dowsett, Deborah J. Thompson, Ruth Warren, T W Higenbottam, Susan E. Hankinson and J. Wallwork and has published in prestigious journals such as PLoS ONE, Cancer Epidemiology Biomarkers & Prevention and PubMed.

In The Last Decade

Tina Audley

5 papers receiving 120 citations

Author Peers

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

Author Last Decade Papers Cites
Tina Audley 41 31 28 23 23 5 120
Jorge Oscanoa 89 2.2× 110 3.5× 22 0.8× 15 0.7× 22 1.0× 4 238
Sharon Adamski 32 0.8× 69 2.2× 16 0.6× 42 1.8× 13 0.6× 5 141
Rafaela Erices 15 0.4× 76 2.5× 12 0.4× 11 0.5× 33 1.4× 6 228
Marie Elisabeth Samson-Bouma 36 0.9× 76 2.5× 16 0.6× 15 0.7× 11 0.5× 7 215
Gina Rhee 29 0.7× 82 2.6× 28 1.0× 26 1.1× 45 2.0× 4 218
Sofia Bosdotter Enroth 61 1.5× 86 2.8× 36 1.3× 13 0.6× 16 0.7× 6 216
Bradley Godfrey 15 0.4× 59 1.9× 6 0.2× 33 1.4× 15 0.7× 4 110
Melanie Gündert 70 1.7× 56 1.8× 7 0.3× 16 0.7× 21 0.9× 8 147
Susanne Kaufmann 26 0.6× 53 1.7× 12 0.4× 29 1.3× 6 0.3× 6 136
Clive Hayward 24 0.6× 23 0.7× 42 1.5× 39 1.7× 24 1.0× 6 182

Countries citing papers authored by Tina Audley

Since Specialization
Citations

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

Fields of papers citing papers by Tina Audley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Audley

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