Colleen Bailey

967 citations
17 papers · 804 · h-index 12

Impact in

Papers in

Colleen Bailey

17 papers receiving 782 citations

Peers

Colleen Bailey
Comparison fields: 5 of 72
  • Sensory Systems 163
  • Pulmonary and Respiratory Medicine 312
  • Internal Medicine 25
  • Radiology, Nuclear Medicine and Imaging 164
  • Cardiology and Cardiovascular Medicine 128
Replace Masatoshi Masuo with:
Masatoshi Masuo Japan
Satoshi Kunimoto Japan
Salina Gairhe United States
Joyce M. Leo Canada
H. Zheng China
Yuan Zhou China
Caroline Gahm Sweden
Urszula Mackiewicz Poland
Marina Arai Japan
Issam Abu-Taha Germany
Colleen Bailey relative to Masatoshi Masuo Japan Masatoshi Masuo's profile →
Citations per field
00.5×2×4×5.8×
Masatoshi Masuo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Colleen Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Colleen Bailey Line = papers co-authored together Colleen Bailey links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2001322
2 2000143
3 200081
4 201248
5 200933
6 201727
7 201926
8 201625
9 201822
10 201320
11 201117
12 201715
13 201810
14 20116
15
Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study
20174
16 20133
17 20212

About Colleen Bailey

Colleen Bailey is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Materials Chemistry and Spectroscopy, having authored 17 papers that have together received 804 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (4 papers), Lanthanide and Transition Metal Complexes (3 papers), Ion channel regulation and function (2 papers), Pulmonary Hypertension Research and Treatments (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Sensory Systems (163 citations), Pulmonary and Respiratory Medicine (312 citations), Internal Medicine (25 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Cardiology and Cardiovascular Medicine (128 citations). Colleen Bailey has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Lewis J. Rubin, Alisa Limsuwan, Oleksandr Platoshyn, Vera A. Golovina, Jason X.‐J. Yuan, Jian Wang, Michèle Sweeney, Greg J. Stanisz, Gregory J. Czarnota and Stefanie Krick. Their work appears in journals such as NMR in Biomedicine, Magnetic Resonance in Medicine, Frontiers in Oncology, Journal of Clinical Oncology and American Journal of Physiology-Cell Physiology.

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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