S. Ken

751 total citations
38 papers, 504 citations indexed

About

S. Ken is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Radiation. According to data from OpenAlex, S. Ken has authored 38 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Genetics and 9 papers in Radiation. Recurrent topics in S. Ken's work include Advanced MRI Techniques and Applications (19 papers), Medical Imaging Techniques and Applications (12 papers) and Glioma Diagnosis and Treatment (9 papers). S. Ken is often cited by papers focused on Advanced MRI Techniques and Applications (19 papers), Medical Imaging Techniques and Applications (12 papers) and Glioma Diagnosis and Treatment (9 papers). S. Ken collaborates with scholars based in France, Italy and Austria. S. Ken's co-authors include Anne Laprie, Thomas Filleron, V. Lubrano, I. Berry, L. Simon, Pierre Celsis, Jean-Albert Lotterie, Elizabeth Cohen–Jonathan, X. Franceries and E. Cassol and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Magnetic Resonance in Medicine and PLoS Medicine.

In The Last Decade

S. Ken

33 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Ken France 10 270 136 130 106 53 38 504
M Hoevels Germany 12 297 1.1× 243 1.8× 140 1.1× 136 1.3× 53 1.0× 20 584
Kyriaki Theodorou Greece 14 370 1.4× 212 1.6× 96 0.7× 128 1.2× 39 0.7× 26 595
Hiska L. van der Weide Netherlands 11 228 0.8× 191 1.4× 64 0.5× 308 2.9× 40 0.8× 34 618
Evelyn Herrmann Switzerland 11 114 0.4× 81 0.6× 70 0.5× 138 1.3× 36 0.7× 38 423
Eric Morris United States 12 257 1.0× 38 0.3× 154 1.2× 93 0.9× 22 0.4× 34 526
Brad Kemp United States 18 652 2.4× 137 1.0× 115 0.9× 136 1.3× 46 0.9× 40 933
Ki Chun Im South Korea 16 439 1.6× 39 0.3× 85 0.7× 182 1.7× 88 1.7× 27 785
M. A. Franz Germany 7 349 1.3× 325 2.4× 72 0.6× 150 1.4× 63 1.2× 7 795
Slávka Lukacova Denmark 12 106 0.4× 215 1.6× 38 0.3× 133 1.3× 74 1.4× 33 405
John M. Floberg United States 14 239 0.9× 48 0.4× 31 0.2× 109 1.0× 84 1.6× 31 657

Countries citing papers authored by S. Ken

Since Specialization
Citations

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

Fields of papers citing papers by S. Ken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ken

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ken. A scholar is included among the top collaborators of S. Ken 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 S. Ken. S. Ken 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.
2.
Cadot, Sarah, S. Ken, Loı̈c Dupré, et al.. (2024). New pharmacodynamic parameters linked with ibrutinib responses in chronic lymphocytic leukemia: Prospective study in real-world patients and mathematical modeling. PLoS Medicine. 21(7). e1004430–e1004430. 1 indexed citations
3.
Pouessel, Damien, S. Ken, Valérie Gouazé‐Andersson, et al.. (2023). Hypofractionated Stereotactic Re-irradiation and Anti-PDL1 Durvalumab Combination in Recurrent Glioblastoma: STERIMGLI Phase I Results. The Oncologist. 28(9). 825–e817. 11 indexed citations
4.
Tensaouti, Fatima, Julia Gilhodes, Bastien Cabarrou, et al.. (2023). Pseudoprogression in GBM versus true progression in patients with glioblastoma: A multiapproach analysis. Radiotherapy and Oncology. 181. 109486–109486. 8 indexed citations
5.
Zanca, Federica, Irene Hernández‐Girón, Michele Avanzo, et al.. (2021). Expanding the medical physicist curricular and professional programme to include Artificial Intelligence. Physica Medica. 83. 174–183. 28 indexed citations
6.
Kanoun, Salim, et al.. (2020). Semi-automatic segmentation of whole-body images in longitudinal studies. Biomedical Physics & Engineering Express. 7(1). 15014–15014. 2 indexed citations
7.
Bieri, Oliver, et al.. (2018). EP-2190: Quantitative evaluation of a new 4D MRI sequence: a motion phantom study. Radiotherapy and Oncology. 127. S1210–S1211. 1 indexed citations
8.
Cattin, Philippe C., et al.. (2017). 4. Application of a novel retrospective method for liver 4D-MRI. Physica Medica. 44. 2–3.
9.
Khalifa, Jonathan, Fatima Tensaouti, Léonor Chaltiel, et al.. (2016). Identification of a candidate biomarker from perfusion MRI to anticipate glioblastoma progression after chemoradiation. European Radiology. 26(11). 4194–4203. 17 indexed citations
10.
Dolz, José, S. Ken, Lotfi Chaâri, et al.. (2016). PV-0475: Probability map prediction of relapse areas in glioblastoma patients using multi-parametric MR. Radiotherapy and Oncology. 119. S226–S227. 1 indexed citations
11.
Ken, S., Thomas Filleron, I. Catalaa, et al.. (2015). Voxel-based evidence of perfusion normalization in glioblastoma patients included in a phase I–II trial of radiotherapy/tipifarnib combination. Journal of Neuro-Oncology. 124(3). 465–473. 9 indexed citations
12.
Dolz, José, Anne Laprie, S. Ken, et al.. (2015). Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context. International Journal of Computer Assisted Radiology and Surgery. 11(1). 43–51. 22 indexed citations
13.
Tensaouti, Fatima, Anne Ducassou, Annick Sévely, et al.. (2015). OC-0308: Identification of significant biological subvolumes from MRI in pediatric ependymoma related to treatment outcome. Radiotherapy and Oncology. 115. S154–S155. 1 indexed citations
14.
15.
Ken, S., Thomas Filleron, I. Catalaa, et al.. (2014). Evaluation of the Lactate-to-N-Acetyl-aspartate Ratio Defined With Magnetic Resonance Spectroscopic Imaging Before Radiation Therapy as a New Predictive Marker of the Site of Relapse in Patients With Glioblastoma Multiforme. International Journal of Radiation Oncology*Biology*Physics. 90(2). 385–393. 39 indexed citations
16.
17.
Ken, S., L. Vieillevigne, X. Franceries, et al.. (2013). Integration method of 3D MR spectroscopy into treatment planning system for glioblastoma IMRT dose painting with integrated simultaneous boost. Radiation Oncology. 8(1). 1–1. 189 indexed citations
18.
Ken, S., Giancarlo Di Gennaro, Giovanni Giulietti, et al.. (2007). Quantitative evaluation for brain CT/MRI coregistration based on maximization of mutual information in patients with focal epilepsy investigated with subdural electrodes. Magnetic Resonance Imaging. 25(6). 883–888. 19 indexed citations
19.
Garreffa, Girolamo, Claudio Colonnese, Giovanni Giulietti, et al.. (2007). Identification of activated regions during a language task. Magnetic Resonance Imaging. 25(6). 933–938. 31 indexed citations
20.
Garreffa, Girolamo, S. Ken, Giovanni Giulietti, et al.. (2006). BOLD signal and vessel dynamics: a hierarchical cluster analysis. Magnetic Resonance Imaging. 24(4). 411–418. 1 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

Breakdown of academic impact, for papers by M Hoevels Breakdown of academic impact, for papers by Kyriaki Theodorou Breakdown of academic impact, for papers by Hiska L. van der Weide Breakdown of academic impact, for papers by Evelyn Herrmann Breakdown of academic impact, for papers by Eric Morris Breakdown of academic impact, for papers by Brad Kemp Breakdown of academic impact, for papers by Ki Chun Im Breakdown of academic impact, for papers by M. A. Franz Breakdown of academic impact, for papers by Slávka Lukacova Breakdown of academic impact, for papers by John M. Floberg
Rankless by CCL
2026