Ekin Ermiş

475 total citations
42 papers, 243 citations indexed

About

Ekin Ermiş is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ekin Ermiş has authored 42 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Genetics and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ekin Ermiş's work include Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Brain Metastases and Treatment (8 papers). Ekin Ermiş is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Brain Metastases and Treatment (8 papers). Ekin Ermiş collaborates with scholars based in Switzerland, United Kingdom and Türkiye. Ekin Ermiş's co-authors include Evelyn Herrmann, Mehmet Şen, Daniel M. Aebersold, Robin Prestwich, Mark Teo, Peter Manser, Mauricio Reyes, Michael K. Fix, K. Dyker and Raphael Meier and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Ekin Ermiş

32 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ekin Ermiş Switzerland 9 93 75 69 46 43 42 243
Oliver Schramm Germany 10 109 1.2× 48 0.6× 115 1.7× 51 1.1× 45 1.0× 21 330
Sara Ahmed United States 9 53 0.6× 40 0.5× 244 3.5× 30 0.7× 52 1.2× 33 362
G. Klausner France 6 70 0.8× 21 0.3× 173 2.5× 25 0.5× 45 1.0× 15 265
M.A.M. Meheissen Egypt 8 58 0.6× 51 0.7× 88 1.3× 25 0.5× 16 0.4× 10 213
Guangying Ruan China 10 47 0.5× 96 1.3× 149 2.2× 58 1.3× 51 1.2× 35 268
Hongmei Ying China 9 103 1.1× 177 2.4× 134 1.9× 104 2.3× 101 2.3× 25 378
Stefan Leger Germany 8 76 0.8× 27 0.4× 185 2.7× 55 1.2× 72 1.7× 13 259
Sungwon Ham South Korea 9 90 1.0× 34 0.5× 202 2.9× 24 0.5× 19 0.4× 18 385
Brigid A. McDonald United States 13 85 0.9× 61 0.8× 261 3.8× 25 0.5× 19 0.4× 28 375
G.L. Sannazzari Italy 9 98 1.1× 27 0.4× 84 1.2× 50 1.1× 68 1.6× 25 349

Countries citing papers authored by Ekin Ermiş

Since Specialization
Citations

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

Fields of papers citing papers by Ekin Ermiş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekin Ermiş

This figure shows the co-authorship network connecting the top 25 collaborators of Ekin Ermiş. A scholar is included among the top collaborators of Ekin Ermiş 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 Ekin Ermiş. Ekin Ermiş 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.
Willmann, Jonas, et al.. (2025). Predicting the impact of target volume contouring variations on the organ at risk dose: results of a qualitative survey. Radiotherapy and Oncology. 210. 110999–110999.
2.
Ermiş, Ekin, Jonas Willmann, Nicolaus Andratschke, et al.. (2025). A dual-layer quality assurance approach leveraging dose prediction for efficient review of automated contours of organs at risk in the brain in radiotherapy. Physics and Imaging in Radiation Oncology. 36. 100888–100888.
3.
Ahmadsei, Maiwand, Martin D. Hürlimann, Hubert S. Gabryś, et al.. (2025). Cone-beam computed tomography-based online adaptive radiotherapy of esophageal cancer in the neoadjuvant setting: Dosimetric analysis, toxicity and treatment response. Radiotherapy and Oncology. 209. 110981–110981.
4.
5.
Berger, Martin D., Yves Borbély, Ekin Ermiş, et al.. (2024). Cone Beam Computed Tomography-Based Online Adaptive Radiation Therapy of Esophageal Cancer: First Clinical Experience and Dosimetric Benefits. Advances in Radiation Oncology. 10(1). 101656–101656. 3 indexed citations
6.
7.
Slotboom, Johannes, Philippe Schucht, Ekin Ermiş, et al.. (2024). Simultaneous multi-region detection of GABA+ and Glx using 3D spatially resolved SLOW-editing and EPSI-readout at 7T. NeuroImage. 286. 120511–120511. 1 indexed citations
8.
Ermiş, Ekin, et al.. (2023). Therapy Resistance of Glioblastoma in Relation to the Subventricular Zone: What Is the Role of Radiotherapy?. Cancers. 15(6). 1677–1677. 1 indexed citations
9.
Willmann, Jonas, Nicolaus Andratschke, Ekin Ermiş, et al.. (2023). Deep-Learning-Based Dose Predictor for Glioblastoma–Assessing the Sensitivity and Robustness for Dose Awareness in Contouring. Cancers. 15(17). 4226–4226. 5 indexed citations
10.
Ermiş, Ekin, et al.. (2023). Accurate prediction of isocitrate dehydrogenase -mutation status of gliomas using SLOW-editing magnetic resonance spectroscopic imaging at 7 T MR. Neuro-Oncology Advances. 5(1). vdad001–vdad001. 2 indexed citations
11.
Suter, Yannick, et al.. (2023). PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Computer Methods and Programs in Biomedicine. 231. 107374–107374. 6 indexed citations
12.
Ermiş, Ekin, et al.. (2023). Triggered episodic vestibular syndrome and transient loss of consciousness due to a retrostyloidal vagal schwannoma: a case report. Frontiers in Neurology. 14. 1222697–1222697. 1 indexed citations
13.
Fung, Christian, Ferdinando Cerciello, Evelyn Herrmann, et al.. (2022). Programmed Death-Ligand 1 Expression in Lung Cancer and Paired Brain Metastases—a Single-Center Study in 190 Patients. JTO Clinical and Research Reports. 3(11). 100413–100413. 1 indexed citations
14.
Ermiş, Ekin, Moritz C. Deml, Michael K. Fix, et al.. (2022). Feasibility of postoperative spine stereotactic body radiation therapy in proximity of carbon and titanium hybrid implants using a robotic radiotherapy device. Radiation Oncology. 17(1). 94–94. 7 indexed citations
15.
Ermiş, Ekin, Michael Müller, Michael K. Fix, et al.. (2022). Impact of random outliers in auto-segmented targets on radiotherapy treatment plans for glioblastoma. Radiation Oncology. 17(1). 170–170. 2 indexed citations
16.
Ermiş, Ekin, Lukas Anschuetz, Dominic Leiser, et al.. (2021). Vestibular dose correlates with dizziness after radiosurgery for the treatment of vestibular schwannoma. Radiation Oncology. 16(1). 61–61. 5 indexed citations
17.
Vassella, Erik, Christian Fung, Evelyn Herrmann, et al.. (2021). Mutational profiles of primary pulmonary adenocarcinoma and paired brain metastases disclose the importance of KRAS mutations. European Journal of Cancer. 159. 227–236. 27 indexed citations
18.
Fung, Chunkit, Evelyn Herrmann, Ekin Ermiş, et al.. (2019). P1.04-05 PD-L1 Expression (SP263) in Lung Cancer and Paired Brain Metastases – A Single Center Study in 211 Patients. Journal of Thoracic Oncology. 14(10). S440–S440. 1 indexed citations
19.
Leiser, Dominic, Ekin Ermiş, Sonja Vulcu, et al.. (2019). Impact of regular magnetic resonance imaging follow-up after stereotactic radiotherapy to the surgical cavity in patients with one to three brain metastases. Radiation Oncology. 14(1). 45–45. 9 indexed citations
20.
Ermiş, Ekin, et al.. (2018). Radiosurgery and radiotherapy for arteriovenous malformations: outcome predictors and review of the literature. Journal of Neurosurgical Sciences. 62(4). 490–504. 7 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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