Geert‐Jan Rutten

2.0k total citations
60 papers, 1.2k citations indexed

About

Geert‐Jan Rutten is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Geert‐Jan Rutten has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 22 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Genetics. Recurrent topics in Geert‐Jan Rutten's work include Advanced Neuroimaging Techniques and Applications (20 papers), Glioma Diagnosis and Treatment (19 papers) and Meningioma and schwannoma management (17 papers). Geert‐Jan Rutten is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (20 papers), Glioma Diagnosis and Treatment (19 papers) and Meningioma and schwannoma management (17 papers). Geert‐Jan Rutten collaborates with scholars based in Netherlands, France and Germany. Geert‐Jan Rutten's co-authors include Margriet M. Sitskoorn, Karin Gehring, Nick F. Ramsey, Wouter De Baene, Sophie D. van der Linden, Jeroen B. Verheul, Martin J. van den Bent, Clemens M.F. Dirven, Ruth Fleischeuer and Maarten M.J. Wijnenga and has published in prestigious journals such as Journal of neurosurgery, Magnetic Resonance in Medicine and Neurosurgery.

In The Last Decade

Geert‐Jan Rutten

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geert‐Jan Rutten Netherlands 19 502 343 333 331 325 60 1.2k
Joshua D. Burks United States 21 226 0.5× 471 1.4× 510 1.5× 227 0.7× 140 0.4× 83 1.2k
Christian Brogna Italy 16 328 0.7× 414 1.2× 307 0.9× 167 0.5× 194 0.6× 42 1.1k
Michael Parsons United States 18 279 0.6× 93 0.3× 354 1.1× 149 0.5× 265 0.8× 72 1.1k
Taku Ochiai Japan 20 356 0.7× 343 1.0× 351 1.1× 316 1.0× 118 0.4× 40 1.6k
Antonella Iadanza Italy 21 179 0.4× 443 1.3× 365 1.1× 96 0.3× 200 0.6× 35 1.2k
Riccardo Budai Italy 16 359 0.7× 213 0.6× 362 1.1× 268 0.8× 89 0.3× 41 980
Karin Gehring Netherlands 22 877 1.7× 93 0.3× 154 0.5× 310 0.9× 939 2.9× 68 1.6k
Alessandra Casarotti Italy 19 378 0.8× 664 1.9× 762 2.3× 313 0.9× 106 0.3× 34 1.5k
Riitta Mäntylä Finland 20 170 0.3× 365 1.1× 324 1.0× 434 1.3× 330 1.0× 24 1.5k
A. Pierallini Italy 21 248 0.5× 268 0.8× 95 0.3× 357 1.1× 193 0.6× 51 1.2k

Countries citing papers authored by Geert‐Jan Rutten

Since Specialization
Citations

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

Fields of papers citing papers by Geert‐Jan Rutten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert‐Jan Rutten. 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 Geert‐Jan Rutten. The network helps show where Geert‐Jan Rutten may publish in the future.

Co-authorship network of co-authors of Geert‐Jan Rutten

This figure shows the co-authorship network connecting the top 25 collaborators of Geert‐Jan Rutten. A scholar is included among the top collaborators of Geert‐Jan Rutten 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 Geert‐Jan Rutten. Geert‐Jan Rutten 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.
Nicenboim, Bruno, Wouter De Baene, Eric Postma, et al.. (2025). Predicting cognitive function 3 months after surgery in patients with a glioma. Neuro-Oncology Advances. 7(1). vdaf081–vdaf081. 1 indexed citations
2.
Rutten, Geert‐Jan, et al.. (2024). Cognitive brain activity before and after surgery in meningioma patients. European Journal of Neuroscience. 60(1). 3759–3771.
3.
Baene, Wouter De, et al.. (2024). Can structure predict function at individual level in the human connectome?. Brain Structure and Function. 229(5). 1209–1223. 2 indexed citations
4.
Rutten, Geert‐Jan, et al.. (2024). Preoperative executive functioning impairments in patients with a meningioma: does a frontal location matter?. Brain Imaging and Behavior. 18(5). 989–1000. 1 indexed citations
5.
6.
Rutten, Geert‐Jan, et al.. (2023). Subject-Specific Automatic Reconstruction of White Matter Tracts. Journal of Digital Imaging. 36(6). 2648–2661. 7 indexed citations
7.
Gehring, Karin, et al.. (2023). Cognitive functioning in untreated glioma patients: The limited predictive value of clinical variables. Neuro-Oncology. 26(4). 670–683. 5 indexed citations
8.
Rutten, Geert‐Jan, et al.. (2023). Presurgical Executive Functioning in Low-Grade Glioma Patients Cannot Be Topographically Mapped. Cancers. 15(3). 807–807. 1 indexed citations
9.
Baene, Wouter De, et al.. (2021). fMRI Resting-State Connectivity between Language and Nonlanguage Areas as Defined by Intraoperative Electrocortical Stimulation in Low-Grade Glioma Patients. Journal of Neurological Surgery Part A Central European Neurosurgery. 82(4). 357–363. 2 indexed citations
10.
Linden, Sophie D. van der, Geert‐Jan Rutten, Linda Dirven, et al.. (2021). eHealth cognitive rehabilitation for brain tumor patients: results of a randomized controlled trial. Journal of Neuro-Oncology. 154(3). 315–326. 24 indexed citations
11.
Jansma, J. Martijn, Geert‐Jan Rutten, Lenny Ramsey, et al.. (2020). Automatic identification of atypical clinical fMRI results. Neuroradiology. 62(12). 1677–1688. 5 indexed citations
12.
Linden, Sophie D. van der, et al.. (2019). Subjective cognitive functioning in patients with a meningioma: Its course and association with objective cognitive functioning and psychological symptoms. Psycho-Oncology. 28(8). 1654–1662. 10 indexed citations
13.
Linden, Sophie D. van der, et al.. (2019). Assessment of Executive Functioning in Patients with Meningioma and Low-Grade Glioma: A Comparison of Self-Report, Proxy-Report, and Test Performance. Journal of the International Neuropsychological Society. 26(2). 187–196. 19 indexed citations
14.
Baene, Wouter De, et al.. (2019). Task-evoked reconfiguration of the fronto-parietal network is associated with cognitive performance in brain tumor patients. Brain Imaging and Behavior. 14(6). 2351–2366. 11 indexed citations
15.
Baene, Wouter De, Geert‐Jan Rutten, & Margriet M. Sitskoorn. (2019). Cognitive functioning in glioma patients is related to functional connectivity measures of the non‐tumoural hemisphere. European Journal of Neuroscience. 50(12). 3921–3933. 31 indexed citations
16.
Wijnenga, Maarten M.J., Pim J. French, Hendrikus J. Dubbink, et al.. (2017). The impact of surgery in molecularly defined low-grade glioma: an integrated clinical, radiological, and molecular analysis. Neuro-Oncology. 20(1). 103–112. 217 indexed citations
17.
Gehring, Karin, Martijn M. Stuiver, Geert‐Jan Rutten, et al.. (2015). NCO-04A PILOT RCT ON THE EFFICACY OF E-HEALTH SUPPORTED PHYSICAL EXERCISE TO IMPROVE COGNITIVE FUNCTIONING IN GLIOMA PATIENTS. Neuro-Oncology. 17(suppl 5). v146.4–v147. 1 indexed citations
18.
Rutten, Geert‐Jan. (2014). Speech hastening during electrical stimulation of left premotor cortex. Brain and Language. 141. 77–79. 8 indexed citations
19.
Kho, Kuan H., Geert‐Jan Rutten, Frans S. S. Leijten, et al.. (2007). Working memory deficits after resection of the dorsolateral prefrontal cortex predicted by functional magnetic resonance imaging and electrocortical stimulation mapping. Journal of Neurosurgery Pediatrics. 106(6). 501–505. 16 indexed citations
20.

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 Joshua D. Burks Breakdown of academic impact, for papers by Christian Brogna Breakdown of academic impact, for papers by Michael Parsons Breakdown of academic impact, for papers by Taku Ochiai Breakdown of academic impact, for papers by Antonella Iadanza Breakdown of academic impact, for papers by Riccardo Budai Breakdown of academic impact, for papers by Karin Gehring Breakdown of academic impact, for papers by Alessandra Casarotti Breakdown of academic impact, for papers by Riitta Mäntylä Breakdown of academic impact, for papers by A. Pierallini
Rankless by CCL
2026