Lee Treanor

458 total citations
9 papers, 104 citations indexed

About

Lee Treanor is a scholar working on Radiology, Nuclear Medicine and Imaging, Statistics, Probability and Uncertainty and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Lee Treanor has authored 9 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Statistics, Probability and Uncertainty and 1 paper in Critical Care and Intensive Care Medicine. Recurrent topics in Lee Treanor's work include Meta-analysis and systematic reviews (6 papers), Radiation Dose and Imaging (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Lee Treanor is often cited by papers focused on Meta-analysis and systematic reviews (6 papers), Radiation Dose and Imaging (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Lee Treanor collaborates with scholars based in Canada, Netherlands and United Kingdom. Lee Treanor's co-authors include Matthew D. F. McInnes, Trevor A. McGrath, Jean‐Paul Salameh, Robert Frank, Patrick M. Bossuyt, Noémie Kraaijpoel, Daniël A. Korevaar, Faraz S. Ahmad, Nicola Schieda and Nicholas Fabiano and has published in prestigious journals such as Clinical Chemistry, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Lee Treanor

8 papers receiving 103 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lee Treanor Canada 6 47 40 18 12 12 9 104
Artur Nowak United States 6 6 0.1× 16 0.4× 9 0.5× 9 0.8× 7 0.6× 9 121
Joseph Gabriel United Kingdom 5 27 0.6× 5 0.1× 38 2.1× 19 1.6× 5 0.4× 19 161
Florien S van Royen Netherlands 4 19 0.4× 5 0.1× 19 1.1× 16 1.3× 7 0.6× 8 85
José Florencio F. Lapeña Philippines 8 23 0.5× 8 0.2× 66 3.7× 36 3.0× 8 0.7× 40 174
Bright Huo Canada 7 17 0.4× 6 0.1× 27 1.5× 19 1.6× 4 0.3× 33 134
Marius Geantă Romania 6 30 0.6× 2 0.1× 49 2.7× 13 1.1× 7 0.6× 15 148
Alexa Gillman United Kingdom 4 5 0.1× 14 0.3× 3 0.2× 10 0.8× 3 0.3× 9 90
Yoav Brezinov Canada 7 72 1.5× 5 0.1× 102 5.7× 10 0.8× 11 0.9× 26 176
Sanam Ebrahimzadeh Canada 6 10 0.2× 16 0.4× 1 0.1× 3 0.3× 15 1.3× 15 81
Yanling Jin Canada 6 2 0.0× 30 0.8× 22 1.2× 4 0.3× 6 0.5× 11 117

Countries citing papers authored by Lee Treanor

Since Specialization
Citations

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

Fields of papers citing papers by Lee Treanor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee Treanor

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

All Works

9 of 9 papers shown
2.
Fabiano, Nicholas, et al.. (2021). Tweeting Bias in Diagnostic Test Accuracy Research: Does Title or Conclusion Positivity Influence Dissemination?. Canadian Association of Radiologists Journal. 73(1). 49–55. 3 indexed citations
3.
Ahmad, Faraz S., et al.. (2020). Safety of Off‐Label Use of Ferumoxtyol as a Contrast Agent for MRI: A Systematic Review and Meta‐Analysis of Adverse Events. Journal of Magnetic Resonance Imaging. 53(3). 840–858. 21 indexed citations
4.
Treanor, Lee, Robert Frank, Jean‐Paul Salameh, et al.. (2020). Publication bias in diagnostic imaging: conference abstracts with positive conclusions are more likely to be published. European Radiology. 30(5). 2964–2972. 24 indexed citations
5.
Treanor, Lee, et al.. (2020). Assessing the reading level of online resources on COVID-19. Canadian Journal of Public Health. 111(4). 484–485. 2 indexed citations
6.
Treanor, Lee, Robert Frank, Nicholas Fabiano, et al.. (2020). Reporting Bias in Imaging Diagnostic Test Accuracy Studies: Are Studies With Positive Conclusions or Titles Submitted and Published Faster?. American Journal of Roentgenology. 216(1). 225–232. 11 indexed citations
7.
McGrath, Trevor A., Ross Prager, Robert Frank, et al.. (2020). Overinterpretation of Research Findings: Evaluation of “Spin” in Systematic Reviews of Diagnostic Accuracy Studies in High–Impact Factor Journals. Clinical Chemistry. 66(7). 915–924. 14 indexed citations
8.
Leeflang, Mariska, Lee Treanor, Noémie Kraaijpoel, et al.. (2019). Comparative reviews of diagnostic test accuracy in imaging research: evaluation of current practices. European Radiology. 29(10). 5386–5394. 21 indexed citations
9.
Treanor, Lee, Robert Frank, Jean‐Paul Salameh, et al.. (2019). Selective Citation Practices in Imaging Research: Are Diagnostic Accuracy Studies With Positive Titles and Conclusions Cited More Often?. American Journal of Roentgenology. 213(2). 397–403. 8 indexed citations

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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