Thibaud Coroller

3.9k total citations · 4 hit papers
32 papers, 2.9k citations indexed

About

Thibaud Coroller is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Thibaud Coroller has authored 32 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 9 papers in Biomedical Engineering. Recurrent topics in Thibaud Coroller's work include Radiomics and Machine Learning in Medical Imaging (23 papers), Lung Cancer Diagnosis and Treatment (15 papers) and Advanced X-ray and CT Imaging (6 papers). Thibaud Coroller is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (23 papers), Lung Cancer Diagnosis and Treatment (15 papers) and Advanced X-ray and CT Imaging (6 papers). Thibaud Coroller collaborates with scholars based in United States, United Kingdom and Netherlands. Thibaud Coroller's co-authors include Hugo J.W.L. Aerts, Raymond H. Mak, Chintan Parmar, Patrick Großmann, Ying Hou, Emmanuel Rios Velazquez, Roman Zeleznik, Ahmed Hosny, Vivek Narayan and Vishesh Agrawal and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Thibaud Coroller

32 papers receiving 2.9k citations

Hit Papers

align trajectories

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.

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

2015 547 citations Thibaud Coroller, Patrick Großmann et al. Radiotherapy and Oncology profile →
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

2019 402 citations Yiwen Xu, Ahmed Hosny et al. Clinical Cancer Research profile →
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

2018 398 citations Ahmed Hosny, Chintan Parmar et al. PLoS Medicine profile →
Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer

2017 304 citations Emmanuel Rios Velazquez, Chintan Parmar et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thibaud Coroller United States	16	2.5k	1.5k	763	568	408	32	2.9k
Martin Vallières Canada	22	3.0k 1.2×	1.1k 0.7×	816 1.1×	567 1.0×	405 1.0×	48	3.3k
Yvonka van Wijk Netherlands	8	3.5k 1.4×	1.4k 0.9×	911 1.2×	548 1.0×	751 1.8×	14	4.0k
Ronald Boellard Netherlands	4	3.8k 1.5×	1.4k 0.9×	1000 1.3×	599 1.1×	703 1.7×	4	4.2k
René Monshouwer Netherlands	14	4.0k 1.6×	1.7k 1.1×	1.1k 1.5×	762 1.3×	744 1.8×	37	4.5k
Aniek J.G. Even Netherlands	14	3.7k 1.5×	1.5k 1.0×	962 1.3×	506 0.9×	806 2.0×	21	4.3k
Evelyn E.C. de Jong Netherlands	12	4.0k 1.6×	1.6k 1.1×	1.1k 1.4×	600 1.1×	870 2.1×	16	4.5k
Margarita Kirienko Italy	28	1.8k 0.7×	913 0.6×	376 0.5×	255 0.4×	489 1.2×	69	2.3k
Tim Lustberg Netherlands	11	3.8k 1.5×	1.5k 1.0×	1.0k 1.3×	570 1.0×	743 1.8×	17	4.3k
Yuhua Gu United States	9	2.2k 0.9×	875 0.6×	671 0.9×	489 0.9×	403 1.0×	20	2.5k
Ruben T. H. M. Larue Netherlands	12	4.0k 1.6×	1.6k 1.0×	1.1k 1.5×	594 1.0×	920 2.3×	14	4.6k

Countries citing papers authored by Thibaud Coroller

Since Specialization

Citations

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

Fields of papers citing papers by Thibaud Coroller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thibaud Coroller

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jamaludin, Amir, Sarim Ather, Timor Kadir, et al.. (2025). Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets. Lara D. Veeken. 64(10). 5446–5454. 1 indexed citations

Monod, Mélodie, Peter Krusche, Qian Cao, et al.. (2024). TorchSurv: A Lightweight Package for Deep Survival Analysis. The Journal of Open Source Software. 9(104). 7341–7341. 3 indexed citations

Chen, Yao, Yuanhan Mo, Aimee Readie, et al.. (2024). VertXNet: an ensemble method for vertebral body segmentation and identification from cervical and lumbar spinal X-rays. Scientific Reports. 14(1). 3341–3341. 11 indexed citations

Xu, Yiwen, Ahmed Hosny, Roman Zeleznik, et al.. (2019). Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging. Clinical Cancer Research. 25(11). 3266–3275. 402 indexed citations breakdown →

Detappe, Alexandre, Mairéad Reidy, Yingjie Yu, et al.. (2019). Antibody-targeting of ultra-small nanoparticles enhances imaging sensitivity and enables longitudinal tracking of multiple myeloma. Nanoscale. 11(43). 20485–20496. 31 indexed citations

Hosny, Ahmed, Chintan Parmar, Thibaud Coroller, et al.. (2018). Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study. PLoS Medicine. 15(11). e1002711–e1002711. 398 indexed citations breakdown →

Coroller, Thibaud, et al.. (2018). Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC. PLoS ONE. 13(11). e0206108–e0206108. 106 indexed citations

Velazquez, Emmanuel Rios, Chintan Parmar, Ying Liu, et al.. (2017). Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer. Cancer Research. 77(14). 3922–3930. 304 indexed citations breakdown →

Kamran, Sophia C., Thibaud Coroller, Idalid Franco, et al.. (2017). CT-Based Radiomic Biomarker Features Predict Prognosis in Patients with Limited Stage Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 99(2). S12–S13. 1 indexed citations

10.

Coroller, Thibaud, Wenya Linda Bi, Elizabeth Huynh, et al.. (2017). Radiographic prediction of meningioma grade by semantic and radiomic features. PLoS ONE. 12(11). e0187908–e0187908. 118 indexed citations

11.

Agrawal, Vishesh, Thibaud Coroller, Ying Hou, et al.. (2017). Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLC. PLoS ONE. 12(4). e0174268–e0174268. 7 indexed citations

12.

Aerts, Hugo J.W.L., et al.. (2017). Radiomic-Based Phenotyping of Tumor Core and Rim to Predict Survival in Nonsmall Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 99(2). S84–S84. 2 indexed citations

13.

Yip, Stephen, John Kim, Thibaud Coroller, et al.. (2016). Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non–Small Cell Lung Cancer. Journal of Nuclear Medicine. 58(4). 569–576. 132 indexed citations

14.

Yip, Stephen, Thibaud Coroller, Nina N. Sanford, et al.. (2016). Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients. Frontiers in Oncology. 6. 72–72. 50 indexed citations

15.

Coroller, Thibaud, Vishesh Agrawal, Elizabeth Huynh, et al.. (2016). Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC. Journal of Thoracic Oncology. 12(3). 467–476. 173 indexed citations

16.

Huynh, Elizabeth, Thibaud Coroller, Vivek Narayan, et al.. (2016). CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer. Radiotherapy and Oncology. 120(2). 258–266. 159 indexed citations

17.

Coroller, Thibaud, Wenya Linda Bi, Malak Abedalthagafi, et al.. (2016). SU‐D‐207B‐02: Early Grade Classification in Meningioma Patients Combining Radiomics and Semantics Data. Medical Physics. 43(6Part4). 3348–3349. 2 indexed citations

18.

Agrawal, Vishesh, Thibaud Coroller, Ying Hou, et al.. (2016). Radiologic-pathologic correlation of response to chemoradiation in resectable locally advanced NSCLC. Lung Cancer. 102. 1–8. 15 indexed citations

19.

Coroller, Thibaud, Patrick Großmann, Ying Hou, et al.. (2015). CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiotherapy and Oncology. 114(3). 345–350. 547 indexed citations breakdown →

20.

Coroller, Thibaud, Raymond H. Mak, John H. Lewis, et al.. (2014). Low Incidence of Chest Wall Pain with a Risk-Adapted Lung Stereotactic Body Radiation Therapy Approach Using Three or Five Fractions Based on Chest Wall Dosimetry. PLoS ONE. 9(4). e94859–e94859. 34 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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