Roger Sun

3.8k total citations · 2 hit papers
67 papers, 2.3k citations indexed

About

Roger Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Roger Sun has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Oncology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Roger Sun's work include Radiomics and Machine Learning in Medical Imaging (27 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Endometrial and Cervical Cancer Treatments (9 papers). Roger Sun is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (27 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Endometrial and Cervical Cancer Treatments (9 papers). Roger Sun collaborates with scholars based in France, China and United States. Roger Sun's co-authors include Éric Deutsch, Charlotte Robert, Laurent Dercle, Elaine Johanna Limkin, Nikos Paragios, Charles Ferté, Sylvain Reuzé, Antoine Schernberg, Samy Ammari and Evangelia I. Zacharaki and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Roger Sun

58 papers receiving 2.3k citations

Hit Papers

A radiomics approach to a... 2017 2026 2020 2023 2018 2017 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roger Sun 1.7k 792 706 413 300 67 2.3k
Elaine Johanna Limkin 1.4k 0.8× 616 0.8× 578 0.8× 324 0.8× 242 0.8× 26 1.8k
Erich P. Huang 1.7k 1.0× 974 1.2× 978 1.4× 315 0.8× 400 1.3× 38 3.1k
Charlotte Robert 2.9k 1.7× 866 1.1× 1.4k 2.0× 743 1.8× 349 1.2× 59 3.8k
Ulrike Schick 1.8k 1.0× 732 0.9× 1.4k 1.9× 415 1.0× 400 1.3× 189 3.1k
Stefano Trebeschi 1.1k 0.7× 534 0.7× 370 0.5× 318 0.8× 159 0.5× 47 1.5k
Meiyun Wang 1.7k 1.0× 392 0.5× 481 0.7× 391 0.9× 189 0.6× 52 2.6k
Maria Vakalopoulou 1.1k 0.6× 432 0.5× 501 0.7× 249 0.6× 121 0.4× 30 1.5k
Antoine Schernberg 780 0.5× 487 0.6× 424 0.6× 212 0.5× 349 1.2× 61 1.6k
Kaustav Bera 2.7k 1.6× 904 1.1× 1.1k 1.5× 563 1.4× 293 1.0× 91 3.7k

Countries citing papers authored by Roger Sun

Since Specialization
Citations

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

Fields of papers citing papers by Roger Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Roger Sun. A scholar is included among the top collaborators of Roger Sun 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 Roger Sun. Roger Sun 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.
Sun, Roger, et al.. (2025). Deep learning for malignant lymph node segmentation and detection: a review. Frontiers in Immunology. 16. 1526518–1526518.
2.
Sun, Roger. (2024). Development and validation of a prognostic nomogram based on the hub genes of patients with hypertensive intracerebral hemorrhage. American Journal of Translational Research. 16(10). 5296–5310.
4.
Rouhi, Rahimeh, Stéphane Niyoteka, Alexandre Carré, et al.. (2024). Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancer. Physics and Imaging in Radiation Oncology. 30. 100578–100578. 5 indexed citations
5.
Beddok, Arnaud, Mickaël Tordjman, Roger Sun, et al.. (2024). Integrating Artificial Intelligence and PET Imaging for Drug Discovery: A Paradigm Shift in Immunotherapy. Pharmaceuticals. 17(2). 210–210. 8 indexed citations
7.
Sun, Roger, Alexandre Carré, Sophie Bockel, et al.. (2022). Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?. Journal for ImmunoTherapy of Cancer. 10(7). e004848–e004848. 22 indexed citations
8.
Sun, Roger, Marvin Lerousseau, Émilie Routier, et al.. (2022). Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients treated with anti-PD1 immunotherapy. Journal for ImmunoTherapy of Cancer. 10(10). e004867–e004867. 21 indexed citations
9.
Dercle, Laurent, Shawn Sun, Romain‐David Seban, et al.. (2022). Emerging and Evolving Concepts in Cancer Immunotherapy Imaging. Radiology. 306(1). 32–46. 31 indexed citations
10.
Sun, Roger, Marvin Lerousseau, Théo Estienne, et al.. (2022). Investigation of radiomics based intra-patient inter-tumor heterogeneity and the impact of tumor subsampling strategies. Scientific Reports. 12(1). 17244–17244. 18 indexed citations
11.
Battistella, Enzo, Maria Vakalopoulou, Roger Sun, et al.. (2021). COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3317–3331. 3 indexed citations
12.
Zhou, Jian‐Guo, Anna-Jasmina Donaubauer, Benjamin Frey, et al.. (2021). Prospective development and validation of a liquid immune profile-based signature (LIPS) to predict response of patients with recurrent/metastatic cancer to immune checkpoint inhibitors. Journal for ImmunoTherapy of Cancer. 9(2). e001845–e001845. 40 indexed citations
13.
Sun, Roger, Marvin Lerousseau, Alexandre Carré, et al.. (2021). Intelligence artificielle en radiothérapie : radiomique, pathomique, et prédiction de la survie et de la réponse aux traitements. Cancer/Radiothérapie. 25(6-7). 630–637. 5 indexed citations
14.
Sun, Roger, Samy Ammari, Sophie Bockel, et al.. (2021). Systematic Screening of COVID-19 Disease Based on Chest CT and RT-PCR for Cancer Patients Undergoing Radiation Therapy in a Coronavirus French Hotspot. International Journal of Radiation Oncology*Biology*Physics. 110(4). 947–956. 7 indexed citations
15.
Sun, Roger, Éric Deutsch, & Laure Fournier. (2021). Intelligence artificielle et imagerie médicale. Bulletin du Cancer. 109(1). 83–88. 8 indexed citations
16.
Sun, Roger, Stéphane Champiat, Jean‐Marie Michot, et al.. (2020). 1050P Does immunotherapy impact the outcomes of future anti-tumour therapies?. Annals of Oncology. 31. S718–S719. 1 indexed citations
17.
Andres, Émilie Alvarez, Lucas Fidon, Maria Vakalopoulou, et al.. (2020). Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 108(3). 813–823. 27 indexed citations
18.
Limkin, Elaine Johanna, Sylvain Reuzé, Alexandre Carré, et al.. (2019). The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features. Scientific Reports. 9(1). 4329–4329. 78 indexed citations
19.
Reuzé, Sylvain, Roger Sun, Fanny Orlhac, et al.. (2018). PV-0528: An innovative MRI harmonization method allowing large scale radiomics analysis in glioblastoma. Radiotherapy and Oncology. 127. S280–S281. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026