Philippe Lambin

71.5k total citations · 20 hit papers
720 papers, 46.6k citations indexed

About

Philippe Lambin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Philippe Lambin has authored 720 papers receiving a total of 46.6k indexed citations (citations by other indexed papers that have themselves been cited), including 399 papers in Radiology, Nuclear Medicine and Imaging, 294 papers in Pulmonary and Respiratory Medicine and 144 papers in Radiation. Recurrent topics in Philippe Lambin's work include Radiomics and Machine Learning in Medical Imaging (242 papers), Medical Imaging Techniques and Applications (161 papers) and Advanced Radiotherapy Techniques (143 papers). Philippe Lambin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (242 papers), Medical Imaging Techniques and Applications (161 papers) and Advanced Radiotherapy Techniques (143 papers). Philippe Lambin collaborates with scholars based in Netherlands, Belgium and United States. Philippe Lambin's co-authors include Hugo J.W.L. Aerts, André Dekker, Ralph T. H. Leijenaar, Robert J. Gillies, Sara Carvalho, Wouter van Elmpt, Chintan Parmar, Patrick Großmann, Johan Bussink and Ruud G.P.M. van Stiphout and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Philippe Lambin

691 papers receiving 45.9k citations

Hit Papers

Radiomics: Extracting more information from medical image... 2008 2026 2014 2020 2012 2017 2014 2012 2015 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Lambin Netherlands 96 29.7k 17.4k 9.0k 8.4k 5.8k 720 46.6k
Lawrence H. Schwartz United States 80 16.5k 0.6× 20.6k 1.2× 21.2k 2.3× 3.0k 0.4× 1.5k 0.3× 395 52.0k
Peter L. Choyke United States 119 19.1k 0.6× 32.5k 1.9× 7.7k 0.9× 13.3k 1.6× 1.1k 0.2× 1.1k 64.4k
Walter J. Curran United States 89 8.6k 0.3× 19.7k 1.1× 10.4k 1.2× 2.7k 0.3× 5.5k 0.9× 748 37.5k
Hugo J.W.L. Aerts United States 68 27.2k 0.9× 11.4k 0.7× 5.3k 0.6× 7.6k 0.9× 1.3k 0.2× 268 33.1k
Robert J. Gillies United States 108 28.0k 0.9× 12.0k 0.7× 8.9k 1.0× 11.0k 1.3× 543 0.1× 515 57.0k
Richard L. Wahl United States 90 20.0k 0.7× 8.5k 0.5× 6.6k 0.7× 2.8k 0.3× 2.4k 0.4× 584 34.3k
Hedvig Hricak United States 105 20.2k 0.7× 17.4k 1.0× 2.8k 0.3× 3.5k 0.4× 1.1k 0.2× 629 39.8k
André Dekker Netherlands 54 18.8k 0.6× 8.6k 0.5× 3.8k 0.4× 5.5k 0.7× 2.8k 0.5× 329 23.4k
Søren M. Bentzen United States 89 10.6k 0.4× 12.1k 0.7× 7.3k 0.8× 2.2k 0.3× 8.7k 1.5× 523 29.2k
Mithat Gönen United States 119 8.6k 0.3× 19.4k 1.1× 26.5k 2.9× 3.1k 0.4× 715 0.1× 781 60.7k

Countries citing papers authored by Philippe Lambin

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Lambin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Lambin

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Lambin. A scholar is included among the top collaborators of Philippe Lambin 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 Philippe Lambin. Philippe Lambin 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.
Cong, Ying, Nick Devoogdt, Philippe Lambin, Ludwig J. Dubois, & Ala Yaromina. (2024). Promising Diagnostic and Therapeutic Approaches Based on VHHs for Cancer Management. Cancers. 16(2). 371–371. 9 indexed citations
2.
Connor, Kate, Emer Conroy, Kieron White, et al.. (2024). A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring. Scientific Reports. 14(1). 2720–2720. 2 indexed citations
3.
Peeken, Jan C., Stefan Münch, Lars Schüttrumpf, et al.. (2024). Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas. Radiotherapy and Oncology. 197. 110338–110338. 5 indexed citations
4.
Peeken, Jan C., Jan Neumann, Yannik Leonhardt, et al.. (2021). Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics. Cancers. 13(8). 1929–1929. 30 indexed citations
5.
Keek, Simon, Frederik Wesseling, Henry C. Woodruff, et al.. (2021). A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images. Cancers. 13(13). 3271–3271. 19 indexed citations
6.
Granzier, Renée W. Y., Abdalla Ibrahim, Sergey Primakov, et al.. (2021). MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study. Cancers. 13(10). 2447–2447. 26 indexed citations
7.
Powathil, Gibin, et al.. (2019). Role of hypoxia-activated prodrugs in combination with radiation therapy: An <i>in silico</i> approach. Mathematical Biosciences & Engineering. 16(6). 6257–6273. 8 indexed citations
8.
Osman, Sarah, Ralph T. H. Leijenaar, Aidan Cole, et al.. (2019). Computed Tomography-based Radiomics for Risk Stratification in Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 105(2). 448–456. 39 indexed citations
9.
Trani, Daniela, Ala Yaromina, Ludwig J. Dubois, et al.. (2015). Preclinical Assessment of Efficacy of Radiation Dose Painting Based on Intratumoral FDG-PET Uptake. Clinical Cancer Research. 21(24). 5511–5518. 22 indexed citations
10.
Peeters, Sarah G.J.A., Catharina M.L. Zegers, Rianne Biemans, et al.. (2015). TH-302 in Combination with Radiotherapy Enhances the Therapeutic Outcome and Is Associated with Pretreatment [18F]HX4 Hypoxia PET Imaging. Clinical Cancer Research. 21(13). 2984–2992. 85 indexed citations
11.
Starmans, Maud H. W., Melania Pintilie, Michelle Chan‐Seng‐Yue, et al.. (2015). Integrating RAS Status into Prognostic Signatures for Adenocarcinomas of the Lung. Clinical Cancer Research. 21(6). 1477–1486. 10 indexed citations
12.
Zegers, Catharina M.L., Nicolle H. Rekers, Natasja G. Lieuwes, et al.. (2014). Radiotherapy Combined with the Immunocytokine L19-IL2 Provides Long-lasting Antitumor Effects. Clinical Cancer Research. 21(5). 1151–1160. 79 indexed citations
13.
Zegers, Catharina M.L., Wouter van Elmpt, Bart Reymen, et al.. (2014). In Vivo Quantification of Hypoxic and Metabolic Status of NSCLC Tumors Using [18F]HX4 and [18F]FDG-PET/CT Imaging. Clinical Cancer Research. 20(24). 6389–6397. 69 indexed citations
14.
Peeters, Andrea, Janneke P.C. Grutters, Madelon Pijls-Johannesma, et al.. (2010). How costly is particle therapy? Cost analysis of external beam radiotherapy with carbon-ions, protons and photons. Radiotherapy and Oncology. 95(1). 45–53. 157 indexed citations
15.
Dubois, Ludwig J., Natasja G. Lieuwes, Alfonso Maresca, et al.. (2009). Imaging of CA IX with fluorescent labelled sulfonamides distinguishes hypoxic and (re)-oxygenated cells in a xenograft tumour model. Radiotherapy and Oncology. 92(3). 423–428. 165 indexed citations
16.
Aerts, Hugo J.W.L., et al.. (2007). Towards a better prediction of radiation-induced lung damage (RILD). Radiotherapy and Oncology. 84.
17.
Magagnin, Michaël G., Kjell Sergeant, Twan van den Beucken, et al.. (2007). Proteomic analysis of gene expression following hypoxia and reoxygenation reveals proteins involved in the recovery from endoplasmic reticulum and oxidative stress. Radiotherapy and Oncology. 83(3). 340–345. 16 indexed citations
18.
Bosmans, Guy, André Dekker, M. Oellers, et al.. (2006). Clinical introduction of respiration correlated (4D) CT/PET scanning. Radiotherapy and Oncology. 81.
19.
Dekker, André, Guy Bosmans, Jeroen Buijsen, et al.. (2005). Comparison between free breathing, slow and respiratory correlated CT in radiation treatment planning for lung cancer patients. Medical Physics. 32(6). 1945–1945.
20.
Nuyts, Sandra, Lieve Van Mellaert, Jan Theys, et al.. (2001). The Use of Radiation-Induced Bacterial Promoters in Anaerobic Conditions: A Means to Control Gene Expression inClostridium-Mediated Therapy for Cancer. Radiation Research. 155(5). 716–723. 55 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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