R. Perdrisot

2.7k total citations · 1 hit paper
17 papers, 799 citations indexed

About

R. Perdrisot is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, R. Perdrisot has authored 17 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Molecular Biology. Recurrent topics in R. Perdrisot's work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). R. Perdrisot is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). R. Perdrisot collaborates with scholars based in France, Belgium and Canada. R. Perdrisot's co-authors include Florent Tixier, Catherine Cheze Le Rest, Dimitris Visvikis, Mathieu Hatt, Mohamed Majdoub, Rémy Guillevin, Olivier Pradier, Elif Hindié, Roland Hustinx and Martin Vallières and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Clinical Chemistry.

In The Last Decade

R. Perdrisot

14 papers receiving 784 citations

Hit Papers

18F-FDG PET Uptake Characterization Through Texture Analy... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort
    2014 361 citations Mathieu Hatt, Mohamed Majdoub et al. Journal of Nuclear Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Perdrisot France 9 611 228 160 134 116 17 799
Emine Şebnem Durmaz Türkiye 15 672 1.1× 349 1.5× 182 1.1× 94 0.7× 136 1.2× 26 915
Antonella Del Vecchio Italy 17 357 0.6× 247 1.1× 126 0.8× 84 0.6× 113 1.0× 100 1.0k
Lidija Antunovic Italy 16 952 1.6× 454 2.0× 234 1.5× 151 1.1× 52 0.4× 46 1.2k
Ilhan Lim South Korea 21 631 1.0× 497 2.2× 67 0.4× 190 1.4× 59 0.5× 86 1.1k
Shiteng Suo China 19 923 1.5× 198 0.9× 111 0.7× 77 0.6× 32 0.3× 65 1.1k
Vineet Prakash United Kingdom 12 382 0.6× 110 0.5× 79 0.5× 104 0.8× 57 0.5× 29 582
Dennis Vriens Netherlands 20 657 1.1× 226 1.0× 118 0.7× 285 2.1× 260 2.2× 62 1.2k
Ko Woon Park South Korea 14 411 0.7× 186 0.8× 52 0.3× 100 0.7× 209 1.8× 33 725
Ebbe Laugaard Lorenzen Denmark 20 695 1.1× 410 1.8× 74 0.5× 234 1.7× 29 0.3× 67 1.4k
Byung Hyun Byun South Korea 19 575 0.9× 413 1.8× 50 0.3× 169 1.3× 32 0.3× 46 902

Countries citing papers authored by R. Perdrisot

Since Specialization
Citations

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

Fields of papers citing papers by R. Perdrisot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Perdrisot

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

All Works

17 of 17 papers shown
1.
2.
Desseroit, Marie-Charlotte, Dimitris Visvikis, Florent Tixier, et al.. (2016). Development of a nomogram combining clinical staging with 18F-FDG PET/CT image features in non-small-cell lung cancer stage I–III. European Journal of Nuclear Medicine and Molecular Imaging. 43(8). 1477–1485. 92 indexed citations
3.
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Tixier, Florent, Mathieu Hatt, Vincent Fleury, et al.. (2014). Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non–Small Cell Lung Cancer. Journal of Nuclear Medicine. 55(8). 1235–1241. 124 indexed citations
6.
Hatt, Mathieu, Mohamed Majdoub, Martin Vallières, et al.. (2014). 18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort. Journal of Nuclear Medicine. 56(1). 38–44. 361 indexed citations breakdown →
7.
Velasco, Stéphane, et al.. (2013). Comparison of PET-CT and magnetic resonance diffusion weighted imaging with body suppression (DWIBS) for initial staging of malignant lymphomas. European Journal of Radiology. 82(11). 2011–2017. 42 indexed citations
8.
Perdrisot, R., et al.. (2010). Intérêt de l’imagerie hybride TEMP-TDM pour la détection du ganglion sentinelle dans les cancers du sein. Médecine Nucléaire. 34(6). 325–334. 2 indexed citations
9.
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Burg, Samuel, et al.. (2007). Intérêt de la TEP au [18F]-FDG double phase avec acquisition tardive dans la détection des tumeurs cérébrales. Médecine Nucléaire. 31(5). 250–261. 1 indexed citations
11.
Farid, Karim, Marie‐Odile Habert, & R. Perdrisot. (2007). Scintigraphie cérébrale de perfusion et exploration des syndromes démentiels : illustration à l’aide de cinq cas cliniques. Médecine Nucléaire. 31(2). 36–47.
12.
Barbot, N., et al.. (1991). [Chronic autoimmune thyroiditis and C-cell hyperplasia. Study of calcitonin secretion in 24 patients].. Annales d Endocrinologie. 52(2). 109–12. 31 indexed citations
13.
Guilloteau, Denis, R. Perdrisot, C Calmettes, et al.. (1990). Diagnosis of Medullary Carcinoma of the Thyroid (MCT) by Calcitonin Assay Using Monoclonal Antibodies: Criteria for the Pentagastrin Stimulation Test in Hereditary MCT. The Journal of Clinical Endocrinology & Metabolism. 71(4). 1064–1067. 57 indexed citations
14.
Perdrisot, R., J Bigorgne, Denis Guilloteau, & P Jallet. (1990). Monoclonal immunoradiometric assay of calcitonin improves investigation of familial medullary thyroid carcinoma. Clinical Chemistry. 36(2). 381–383. 23 indexed citations
15.
Perdrisot, R., et al.. (1989). Four nonisotopic immunoassays of free thyroxin evaluated.. Clinical Chemistry. 35(1). 115–120. 12 indexed citations
16.
Perdrisot, R., et al.. (1988). Thyroid uptake of MIBG in Sipple's syndrome. European Journal of Nuclear Medicine and Molecular Imaging. 14(1). 37–8. 6 indexed citations
17.
Baulieu, Jean‐Louis, Denis Guilloteau, R. Perdrisot, et al.. (1987). Radioiodinated meta-iodobenzylguanidine uptake in medullary thyroid cancer: A French cooperative study. Cancer. 60(9). 2189–2194. 39 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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