Colleen Bailey

39 total papers · 953 total citations
17 papers, 740 citations indexed

About

Colleen Bailey is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Colleen Bailey has authored 17 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Colleen Bailey's work include MRI in cancer diagnosis (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced MRI Techniques and Applications (5 papers). Colleen Bailey is often cited by papers focused on MRI in cancer diagnosis (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced MRI Techniques and Applications (5 papers). Colleen Bailey collaborates with scholars based in Canada, United Kingdom and United States. Colleen Bailey's co-authors include Lewis J. Rubin, Oleksandr Platoshyn, Vera A. Golovina, Jason X.‐J. Yuan, Alisa Limsuwan, Jian Wang, Michèle Sweeney, Greg J. Stanisz, Gregory J. Czarnota and Magdalena Juhaszova and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Respiratory and Critical Care Medicine and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Colleen Bailey

17 papers receiving 730 citations

Author Peers

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

Author						Papers	Cites
Colleen Bailey	293	262	207	159	122	17	740
Joyce M. Leo	259 0.9×	217 0.8×	43 0.2×	70 0.4×	28 0.2×	17	866
Mark Ozeck	176 0.6×	455 1.7×	25 0.1×	51 0.3×	40 0.3×	21	873
Ali Nsair	266 0.9×	377 1.4×	51 0.2×	16 0.1×	222 1.8×	24	787
Ludovica Verdun di Cantogno	92 0.3×	322 1.2×	147 0.7×	47 0.3×	8 0.1×	22	798
Darla L. Tharp	46 0.2×	319 1.2×	43 0.2×	48 0.3×	243 2.0×	27	628
Aliénor Berges	40 0.1×	535 2.0×	66 0.3×	46 0.3×	45 0.4×	34	839
Bicheng Nan	170 0.6×	319 1.2×	20 0.1×	48 0.3×	34 0.3×	13	686
Adam F. Odell	58 0.2×	526 2.0×	33 0.2×	99 0.6×	21 0.2×	29	825
Alice Récalde	44 0.2×	371 1.4×	28 0.1×	52 0.3×	282 2.3×	19	823
Simona Tolarová	247 0.8×	377 1.4×	97 0.5×	12 0.1×	229 1.9×	9	743

Countries citing papers authored by Colleen Bailey

Since Specialization

Citations

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

Fields of papers citing papers by Colleen Bailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colleen Bailey

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