Jean-Philippe Galons

1.0k total citations
15 papers, 830 citations indexed

About

Jean-Philippe Galons is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jean-Philippe Galons has authored 15 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jean-Philippe Galons's work include MRI in cancer diagnosis (7 papers), Advanced MRI Techniques and Applications (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Jean-Philippe Galons is often cited by papers focused on MRI in cancer diagnosis (7 papers), Advanced MRI Techniques and Applications (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Jean-Philippe Galons collaborates with scholars based in United States, France and Germany. Jean-Philippe Galons's co-authors include Robert J. Gillies, Natarajan Raghunand, María I. Altbach, Zaver M. Bhujwalla, Paloma Ballesteros, Robert van Sluis, Charles W. Taylor, Gillian Paine-Murrieta, Theodore P. Trouard and Beatrice Hauss‐Wegrzyniak and has published in prestigious journals such as Scientific Reports, Brain Research and Journal of Applied Physiology.

In The Last Decade

Jean-Philippe Galons

15 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean-Philippe Galons United States 11 396 162 106 100 80 15 830
Sabrina Doblas France 22 549 1.4× 200 1.2× 45 0.4× 179 1.8× 64 0.8× 53 1.5k
Palamadai N. Venkatasubramanian United States 15 224 0.6× 169 1.0× 86 0.8× 49 0.5× 96 1.2× 37 731
John J. Kotyk United States 14 238 0.6× 200 1.2× 74 0.7× 104 1.0× 76 0.9× 28 752
Elena Nicolato Italy 20 291 0.7× 304 1.9× 107 1.0× 253 2.5× 149 1.9× 63 1.2k
Silvia Lope‐Piedrafita Spain 20 197 0.5× 320 2.0× 114 1.1× 169 1.7× 148 1.9× 39 1.1k
Jehoon Yang South Korea 19 382 1.0× 233 1.4× 188 1.8× 192 1.9× 151 1.9× 57 1.1k
Pan Su United States 18 304 0.8× 363 2.2× 110 1.0× 57 0.6× 95 1.2× 45 903
Leonie Wyffels Belgium 23 401 1.0× 467 2.9× 111 1.0× 119 1.2× 72 0.9× 74 1.4k
Chris V. Bowen Canada 19 370 0.9× 220 1.4× 84 0.8× 112 1.1× 42 0.5× 53 1.1k
Andor Veltien Netherlands 20 306 0.8× 218 1.3× 65 0.6× 193 1.9× 150 1.9× 50 1.1k

Countries citing papers authored by Jean-Philippe Galons

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Philippe Galons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Philippe Galons. 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 Jean-Philippe Galons. The network helps show where Jean-Philippe Galons may publish in the future.

Co-authorship network of co-authors of Jean-Philippe Galons

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

All Works

15 of 15 papers shown
1.
Li, Zhitao, Mahesh Keerthivasan, Ali Bilgin, et al.. (2021). Rapid high-resolution volumetric T1 mapping using a highly accelerated stack-of-stars Look Locker technique. Magnetic Resonance Imaging. 79. 28–37. 7 indexed citations
2.
Galons, Jean-Philippe, Theodore P. Trouard, Nestor A. Parra, et al.. (2020). Dose–response assessment by quantitative MRI in a phase 1 clinical study of the anti-cancer vascular disrupting agent crolibulin. Scientific Reports. 10(1). 14449–14449. 16 indexed citations
3.
Thomson, Cynthia A., H.‐H. Sherry Chow, Betsy C. Wertheim, et al.. (2017). A randomized, placebo-controlled trial of diindolylmethane for breast cancer biomarker modulation in patients taking tamoxifen. Breast Cancer Research and Treatment. 165(1). 97–107. 49 indexed citations
4.
Pandey, Abhishek, Mahesh Keerthivasan, Jean-Philippe Galons, et al.. (2017). Multiresolution imaging using golden angle stack-of-stars and compressed sensing for dynamic MR urography. Journal of Magnetic Resonance Imaging. 46(1). 303–311. 6 indexed citations
5.
Jha, Abhinav K., Denise J. Roe, Theodore P. Trouard, et al.. (2015). Diffusion MRI with Semi-Automated Segmentation Can Serve as a Restricted Predictive Biomarker of the Therapeutic Response of Liver Metastasis. Magnetic Resonance Imaging. 33(10). 1267–1273. 10 indexed citations
6.
Galons, Jean-Philippe, Marilyn T. Marron, Alison Stopeck, et al.. (2015). Automated Breast Segmentation of Fat and Water MR Images Using Dynamic Programming. Academic Radiology. 22(2). 139–148. 31 indexed citations
7.
Harkins, Kevin D., et al.. (2012). A finite difference method with periodic boundary conditions for simulations of diffusion-weighted magnetic resonance experiments in tissue. Physics in Medicine and Biology. 57(4). N35–N46. 20 indexed citations
8.
Li, Yuguo, Jean-Philippe Galons, Heather H. Cornnell, et al.. (2012). Imaging biomarkers to monitor response to the hypoxia-activated prodrug TH-302 in the MiaPaCa2 flank xenograft model. Magnetic Resonance Imaging. 30(7). 1002–1009. 20 indexed citations
9.
Henderson, Luke A., Paul M. Macey, Matthew Runquist, et al.. (2004). Functional magnetic resonance signal changes in neural structures to baroreceptor reflex activation. Journal of Applied Physiology. 96(2). 693–703. 80 indexed citations
10.
Chen, Kewei, Gene E. Alexander, Jiping He, et al.. (2003). Construction of mouse brain MRI templates using SPM 99. IFAC Proceedings Volumes. 36(15). 113–118. 5 indexed citations
11.
Guo, Jingyu, Jean-Philippe Galons, Theodore P. Trouard, et al.. (2002). Early Response of Prostate Carcinoma Xenografts to Docetaxel Chemotherapy Monitored With Diffusion MRI. Neoplasia. 4(3). 255–262. 108 indexed citations
12.
Hauss‐Wegrzyniak, Beatrice, Jean-Philippe Galons, & Gary L. Wenk. (2000). Quantitative Volumetric Analyses of Brain Magnetic Resonance Imaging from Rat with Chronic Neuroinflammation. Experimental Neurology. 165(2). 347–354. 39 indexed citations
13.
Sluis, Robert van, Zaver M. Bhujwalla, Natarajan Raghunand, et al.. (1999). In vivo imaging of extracellular pH using1H MRSI. Magnetic Resonance in Medicine. 41(4). 743–750. 267 indexed citations
14.
Galons, Jean-Philippe, María I. Altbach, Gillian Paine-Murrieta, Charles W. Taylor, & Robert J. Gillies. (1999). Early Increases in Breast Tumor Xenograft Water Mobility in Response to Paclitaxel Therapy Detected by Non-Invasive Diffusion Magnetic Resonance Imaging. Neoplasia. 1(2). 113–117. 162 indexed citations
15.
Vion‐Dury, Jean, et al.. (1989). Phosphorus-31 nuclear magnetic resonance study of the C6 glioma cell line cultured on microcarrier beads. Brain Research. 493(1). 175–178. 10 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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2026