Olivier Humbert

4.7k total citations
56 papers, 1.5k citations indexed

About

Olivier Humbert is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Olivier Humbert has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 18 papers in Oncology. Recurrent topics in Olivier Humbert's work include Medical Imaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Breast Cancer Treatment Studies (12 papers). Olivier Humbert is often cited by papers focused on Medical Imaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Breast Cancer Treatment Studies (12 papers). Olivier Humbert collaborates with scholars based in France, United States and Italy. Olivier Humbert's co-authors include Alexandre Cochet, François Brunotte, Alina Berriolo-Riedinger, Salim Kanoun, Inna Dygai‐Cochet, Michel Toubeau, P. Fumoleau, David Chardin, Olivier Casasnovas and Jean‐Marc Riedinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Olivier Humbert

49 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivier Humbert France 22 964 464 411 410 396 56 1.5k
Clément Bailly France 22 528 0.5× 333 0.7× 173 0.4× 219 0.5× 109 0.3× 74 1.1k
Makiko Itami Japan 20 277 0.3× 636 1.4× 236 0.6× 544 1.3× 318 0.8× 89 1.7k
Charles A. Enke United States 21 724 0.8× 267 0.6× 232 0.6× 812 2.0× 63 0.2× 65 1.7k
Fuquan Zhang China 22 297 0.3× 401 0.9× 126 0.3× 317 0.8× 240 0.6× 134 1.6k
Madeline Vazquez United States 19 398 0.4× 388 0.8× 116 0.3× 906 2.2× 110 0.3× 53 1.4k
Sophia K. Apple United States 23 287 0.3× 781 1.7× 470 1.1× 210 0.5× 609 1.5× 72 1.6k
Anuradha Chakravarthy United States 13 415 0.4× 310 0.7× 74 0.2× 170 0.4× 153 0.4× 25 950
Eleanor Cornford United Kingdom 17 221 0.2× 253 0.5× 351 0.9× 243 0.6× 410 1.0× 38 874
Christine De Wolf‐Peeters Belgium 9 506 0.5× 394 0.8× 862 2.1× 364 0.9× 79 0.2× 11 1.3k
Elena Vigliar Italy 27 158 0.2× 762 1.6× 401 1.0× 693 1.7× 594 1.5× 105 1.8k

Countries citing papers authored by Olivier Humbert

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Humbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Humbert

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

All Works

20 of 20 papers shown
1.
Bailleux, Caroline, et al.. (2025). Imagerie moléculaire et radio-ligands dans le cancer du sein. Bulletin du Cancer. 112(7-8). 702–713.
2.
Chardin, David, et al.. (2024). Total metabolic tumor volume on 18F-FDG PET/CT is a game-changer for patients with metastatic lung cancer treated with immunotherapy. Journal for ImmunoTherapy of Cancer. 12(4). e007628–e007628. 15 indexed citations
4.
Önen, Melek, et al.. (2024). Privacy preserving image registration. Medical Image Analysis. 94. 103129–103129. 2 indexed citations
5.
Chardin, David, et al.. (2022). Development and validation of a radiomic model for the diagnosis of dopaminergic denervation on [18F]FDOPA PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 49(11). 3787–3796. 10 indexed citations
7.
Heeke, Simon, Jonathan Benzaquen, Élodie Long-Mira, et al.. (2019). In-house Implementation of Tumor Mutational Burden Testing to Predict Durable Clinical Benefit in Non-small Cell Lung Cancer and Melanoma Patients. Cancers. 11(9). 1271–1271. 26 indexed citations
8.
Coutant, Charles, Jean‐Marc Riedinger, Sylvain Ladoire, et al.. (2019). Combination of breast imaging parameters obtained from 18F-FDG PET and CT scan can improve the prediction of breast-conserving surgery after neoadjuvant chemotherapy in luminal/HER2-negative breast cancer. European Journal of Radiology. 113. 81–88. 11 indexed citations
10.
Humbert, Olivier, Renaud Schiappa, M. Poudenx, et al.. (2019). 18FDG PET/CT in the early assessment of non-small cell lung cancer response to immunotherapy: frequency and clinical significance of atypical evolutive patterns. European Journal of Nuclear Medicine and Molecular Imaging. 47(5). 1158–1167. 61 indexed citations
12.
Kanoun, Salim, Olivier Humbert, Aurélie Bertaut, et al.. (2018). FDG PET/CT for prognostic stratification of patients with metastatic breast cancer treated with first line systemic therapy: Comparison of EORTC criteria and PERCIST. PLoS ONE. 13(7). e0199529–e0199529. 14 indexed citations
13.
Humbert, Olivier, Alexandre Cochet, Bruno Coudert, et al.. (2015). Role of Positron Emission Tomography for the Monitoring of Response to Therapy in Breast Cancer. The Oncologist. 20(2). 94–104. 45 indexed citations
14.
Humbert, Olivier, Jean‐Marc Riedinger, Céline Charon‐Barra, et al.. (2015). Identification of Biomarkers Including 18FDG-PET/CT for Early Prediction of Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Clinical Cancer Research. 21(24). 5460–5468. 51 indexed citations
15.
Kanoun, Salim, Ṭal Ilan, Alina Berriolo-Riedinger, et al.. (2015). Influence of Software Tool and Methodological Aspects of Total Metabolic Tumor Volume Calculation on Baseline [18F]FDG PET to Predict Survival in Hodgkin Lymphoma. PLoS ONE. 10(10). e0140830–e0140830. 84 indexed citations
16.
Cochet, Alexandre, Inna Dygai‐Cochet, Jean‐Marc Riedinger, et al.. (2013). 18F-FDG PET/CT provides powerful prognostic stratification in the primary staging of large breast cancer when compared with conventional explorations. European Journal of Nuclear Medicine and Molecular Imaging. 41(3). 428–437. 62 indexed citations
17.
Humbert, Olivier, Alina Berriolo-Riedinger, Jean‐Marc Riedinger, et al.. (2012). Changes in 18F-FDG tumor metabolism after a first course of neoadjuvant chemotherapy in breast cancer: influence of tumor subtypes. Annals of Oncology. 23(10). 2572–2577. 73 indexed citations
18.
Guénancia, Charles, Alexandre Cochet, Olivier Humbert, et al.. (2012). Predictors of post-stress LVEF drop 6 months after reperfused myocardial infarction: a gated myocardial perfusion SPECT study. Annals of Nuclear Medicine. 27(2). 112–122. 2 indexed citations
19.
Kanoun, Salim, Cédric Rossi, Alina Berriolo-Riedinger, et al.. (2012). Metabolic Tumor Volume Is an Independent Prognosis Factor Predicting patient's Outcome in Hodgkin Lymphoma. Blood. 120(21). 3631–3631. 1 indexed citations
20.
Cochet, Alexandre, Jean‐Marc Vrigneaud, Claude Touzery, et al.. (2012). Evaluation of Breast Tumor Blood Flow with Dynamic First-Pass 18F-FDG PET/CT: Comparison with Angiogenesis Markers and Prognostic Factors. Journal of Nuclear Medicine. 53(4). 512–520. 47 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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