V. Cuplov

15.9k total citations
18 papers, 344 citations indexed

About

V. Cuplov is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, V. Cuplov has authored 18 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiation. Recurrent topics in V. Cuplov's work include Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Optical Imaging and Spectroscopy Techniques (5 papers). V. Cuplov is often cited by papers focused on Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Optical Imaging and Spectroscopy Techniques (5 papers). V. Cuplov collaborates with scholars based in France, United Kingdom and Australia. V. Cuplov's co-authors include Kris Thielemans, Brian F. Hutton, Frédéric Pain, Sébastien Jan, Alexandre Bousse, Benjamin A. Thomas, Kjell Erlandsson, Irène Buvat, Beverley F. Holman and Ashley M. Groves and has published in prestigious journals such as Journal of Clinical Oncology, Physics in Medicine and Biology and Journal of Nuclear Medicine.

In The Last Decade

V. Cuplov

17 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Cuplov France	9	197	76	66	55	41	18	344
Lalith Kumar Shiyam Sundar Austria	12	293 1.5×	106 1.4×	43 0.7×	44 0.8×	14 0.3×	27	414
Masaki Ohkubo Japan	12	274 1.4×	110 1.4×	125 1.9×	15 0.3×	36 0.9×	49	415
Thies H. Jochimsen Germany	17	631 3.2×	51 0.7×	52 0.8×	32 0.6×	15 0.4×	34	747
G. Rosenqvist Sweden	9	318 1.6×	70 0.9×	51 0.8×	111 2.0×	27 0.7×	10	431
Alessandro Passeri Italy	12	267 1.4×	112 1.5×	58 0.9×	54 1.0×	25 0.6×	34	630
Stefano Pedemonte United Kingdom	14	505 2.6×	172 2.3×	54 0.8×	119 2.2×	12 0.3×	32	669
Steven H. Baete United States	14	591 3.0×	63 0.8×	65 1.0×	53 1.0×	12 0.3×	35	755
Kasper Marstal Netherlands	6	126 0.6×	53 0.7×	30 0.5×	34 0.6×	24 0.6×	9	314
Alexey Dimov United States	16	422 2.1×	54 0.7×	29 0.4×	13 0.2×	43 1.0×	36	691
David A. Rudko Canada	13	265 1.3×	82 1.1×	19 0.3×	35 0.6×	33 0.8×	36	495

Countries citing papers authored by V. Cuplov

Since Specialization

Citations

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

Fields of papers citing papers by V. Cuplov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Cuplov

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

All Works

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18 of 18 papers shown

Nioche, Christophe, V. Cuplov, Alain Livartowski, et al.. (2024). Promising Candidate Prognostic Biomarkers in [¹⁸F]FDG PET Images: Evaluation in Independent Cohorts of Non–Small Cell Lung Cancer Patients. Journal of Nuclear Medicine. 65(4). 635–642. 5 indexed citations

Leek, Francesca, et al.. (2021). A Demonstration of STIR-GATE-Connection. 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 1–3. 2 indexed citations

Cuplov, V. & Nicolás André. (2020). Machine Learning Approach to Forecast Chemotherapy-Induced Haematological Toxicities in Patients with Rhabdomyosarcoma. Cancers. 12(7). 1944–1944. 10 indexed citations

Cuplov, V., et al.. (2020). Harnessing tumor immunity with chemotherapy: Mathematical modeling for decision-making in combinatorial regimen with immune-oncology drugs.. Journal of Clinical Oncology. 38(15_suppl). e14095–e14095. 1 indexed citations

Holman, Beverley F., V. Cuplov, Raymond Endozo, et al.. (2018). Improved quantitation and reproducibility in multi-PET/CT lung studies by combining CT information. EJNMMI Physics. 5(1). 14–14.

Cuplov, V., et al.. (2018). Optical and thermal simulations for the design of optodes for minimally invasive optogenetics stimulation or photomodulation of deep and large cortical areas in non-human primate brain. Journal of Neural Engineering. 15(6). 65004–65004. 10 indexed citations

Cuplov, V., Frédéric Pain, & Sébastien Jan. (2017). Simulation of nanoparticle-mediated near-infrared thermal therapy using GATE. Biomedical Optics Express. 8(3). 1665–1665. 16 indexed citations

Cuplov, V., et al.. (2017). Issues in quantification of registered respiratory gated PET/CT in the lung. Physics in Medicine and Biology. 63(1). 15007–15007. 2 indexed citations

Bertolli, Ottavia, V. Cuplov, Simon Arridge, et al.. (2017). Detection of Lung Density Variations With Principal Component Analysis in PET. 1–3. 2 indexed citations

10.

Thomas, Benjamin A., V. Cuplov, Alexandre Bousse, et al.. (2016). PETPVC: a toolbox for performing partial volume correction techniques in positron emission tomography. Physics in Medicine and Biology. 61(22). 7975–7993. 118 indexed citations

11.

Holman, Beverley F., V. Cuplov, Brian Hutton, Ashley M. Groves, & Kris Thielemans. (2016). The effect of respiratory induced density variations on non-TOF PET quantitation in the lung. Physics in Medicine and Biology. 61(8). 3148–3163. 24 indexed citations

12.

Nilsson, Jenny, V. Cuplov, & Mats Isaksson. (2015). Identifying key surface parameters for optical photon transport in GEANT4/GATE simulations. Applied Radiation and Isotopes. 103. 15–24. 21 indexed citations

13.

Holman, Beverley F., V. Cuplov, Brian F. Hutton, et al.. (2015). Improved correction for the tissue fraction effect in lung PET/CT imaging. Physics in Medicine and Biology. 60(18). 7387–7402. 44 indexed citations

14.

Holman, Beverley F., V. Cuplov, Ottavia Bertolli, et al.. (2015). Density variation during respiration affects PET quantitation in the lung. 54. 1–3. 1 indexed citations

15.

Cuplov, V., et al.. (2015). Failure to account for density variation during respiration can significantly affect PET quantitation in the lung.. 56. 1770–1770. 2 indexed citations

16.

Cuplov, V., Irène Buvat, Frédéric Pain, & Sébastien Jan. (2014). Extension of the GATE Monte-Carlo simulation package to model bioluminescence and fluorescence imaging. Journal of Biomedical Optics. 19(2). 26004–26004. 27 indexed citations

17.

Genoux, Aurélie, V. Cuplov, Darine Abi Haidar, et al.. (2013). Experimental and analytical comparative study of optical coefficient of fresh and frozen rat tissues. Journal of Biomedical Optics. 18(11). 117010–117010. 58 indexed citations

18.

Cuplov, V., et al.. (2012). Optical imaging simulation using GATE. 2614–2617. 1 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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