Szabolcs Dávid

2.0k total citations
26 papers, 254 citations indexed

About

Szabolcs Dávid is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Szabolcs Dávid has authored 26 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Genetics and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Szabolcs Dávid's work include Glioma Diagnosis and Treatment (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Brain Metastases and Treatment (8 papers). Szabolcs Dávid is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Brain Metastases and Treatment (8 papers). Szabolcs Dávid collaborates with scholars based in Netherlands, Hungary and United States. Szabolcs Dávid's co-authors include Alexander Leemans, Joost J.C. Verhoeff, Max A. Viergever, M.E.P. Philippens, Hamed Y. Mesri, Tom J. Snijders, Pál Kocsis, Levente Deli, Károly Tihanyi and Nikolett Hegedűs and has published in prestigious journals such as PLoS ONE, NeuroImage and Neuroscience.

In The Last Decade

Szabolcs Dávid

22 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Szabolcs Dávid Netherlands 11 126 75 63 50 29 26 254
Elena Steffensen Denmark 6 211 1.7× 80 1.1× 90 1.4× 28 0.6× 22 0.8× 7 386
Netra Rana China 9 118 0.9× 36 0.5× 178 2.8× 15 0.3× 13 0.4× 14 320
Koichiro Sugimoto Japan 12 194 1.5× 13 0.2× 79 1.3× 28 0.6× 27 0.9× 44 396
Patrick Hiepe Germany 11 163 1.3× 29 0.4× 41 0.7× 12 0.2× 9 0.3× 20 305
Yi Liang China 14 216 1.7× 23 0.3× 195 3.1× 53 1.1× 55 1.9× 36 432
Christopher E. Bauer United States 11 126 1.0× 11 0.1× 76 1.2× 34 0.7× 34 1.2× 29 308
Víctor Rodríguez-González Spain 9 53 0.4× 38 0.5× 201 3.2× 11 0.2× 15 0.5× 31 286
Jens Göttler Germany 11 232 1.8× 44 0.6× 235 3.7× 77 1.5× 37 1.3× 22 469
Sadegh Ghaderi Iran 11 100 0.8× 30 0.4× 33 0.5× 21 0.4× 14 0.5× 52 281
Honglin Ge China 13 159 1.3× 37 0.5× 252 4.0× 27 0.5× 49 1.7× 27 399

Countries citing papers authored by Szabolcs Dávid

Since Specialization
Citations

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

Fields of papers citing papers by Szabolcs Dávid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szabolcs Dávid

This figure shows the co-authorship network connecting the top 25 collaborators of Szabolcs Dávid. A scholar is included among the top collaborators of Szabolcs Dávid 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 Szabolcs Dávid. Szabolcs Dávid 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.
Tolboom, Nelleke, et al.. (2025). Comparison of 18F-FET-PET- and MRI-based target definition for re-irradiation treatment of recurrent diffuse glioma. Clinical and Translational Radiation Oncology. 52. 100931–100931.
3.
Dávid, Szabolcs, et al.. (2025). Incidence of radiation necrosis following different radiotherapy fractionation schedules for intracranial meningiomas. Strahlentherapie und Onkologie. 202(4). 380–388.
4.
Maspero, Matteo, et al.. (2024). Validation of SynthSeg segmentation performance on CT using paired MRI from radiotherapy patients. NeuroImage. 303. 120922–120922. 2 indexed citations
5.
Dávid, Szabolcs, et al.. (2022). Irradiation of the subventricular zone and subgranular zone in high- and low-grade glioma patients: an atlas-based analysis on overall survival. Neuro-Oncology Advances. 4(1). vdab193–vdab193. 4 indexed citations
6.
Verhoeff, Joost J.C., et al.. (2022). Quantifying the post-radiation accelerated brain aging rate in glioma patients with deep learning. Radiotherapy and Oncology. 175. 18–25. 5 indexed citations
7.
Dávid, Szabolcs, Lucy L. Brown, Anneriet M. Heemskerk, et al.. (2022). Sensory processing sensitivity and axonal microarchitecture: identifying brain structural characteristics for behavior. Brain Structure and Function. 227(8). 2769–2785. 11 indexed citations
8.
Seravalli, Enrica, et al.. (2022). Dosimetric feasibility of direct post-operative MR-Linac-based stereotactic radiosurgery for resection cavities of brain metastases. Radiotherapy and Oncology. 179. 109456–109456. 7 indexed citations
9.
Dávid, Szabolcs, et al.. (2021). Morphological changes after cranial fractionated photon radiotherapy: Localized loss of white matter and grey matter volume with increasing dose. Clinical and Translational Radiation Oncology. 31. 14–20. 8 indexed citations
10.
Goghari, Vina M., Clare L. Beasley, Szabolcs Dávid, et al.. (2021). Diffusion kurtosis imaging of white matter in bipolar disorder. Psychiatry Research Neuroimaging. 317. 111341–111341. 9 indexed citations
11.
Dávid, Szabolcs, et al.. (2020). Effect of radiation therapy on cerebral cortical thickness in glioma patients: Treatment-induced thinning of the healthy cortex. Neuro-Oncology Advances. 2(1). vdaa060–vdaa060. 19 indexed citations
12.
Dávid, Szabolcs, et al.. (2020). Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy. Clinical and Translational Radiation Oncology. 26. 35–41. 22 indexed citations
13.
Klooster, Debby, Karen Caeyenberghs, Alexander Leemans, et al.. (2020). Indirect frontocingulate structural connectivity predicts clinical response to accelerated rTMS in major depressive disorder. Journal of Psychiatry and Neuroscience. 45(4). 243–252. 22 indexed citations
14.
Dávid, Szabolcs, Lieke Heesink, Elbert Geuze, et al.. (2019). Regions of white matter abnormalities in the arcuate fasciculus in veterans with anger and aggression problems. Brain Structure and Function. 225(4). 1401–1411. 10 indexed citations
15.
Dávid, Szabolcs, Anneriet M. Heemskerk, Francesco Corrivetti, et al.. (2019). The Superoanterior Fasciculus (SAF): A Novel White Matter Pathway in the Human Brain?. Frontiers in Neuroanatomy. 13. 24–24. 14 indexed citations
16.
Mesri, Hamed Y., Szabolcs Dávid, Max A. Viergever, & Alexander Leemans. (2019). The adverse effect of gradient nonlinearities on diffusion MRI: From voxels to group studies. NeuroImage. 205. 116127–116127. 33 indexed citations
17.
Dávid, Szabolcs, et al.. (2019). Changes in cortical thickness and volume after cranial radiation treatment: A systematic review. Radiotherapy and Oncology. 135. 33–42. 24 indexed citations
18.
Spisák, Tamás, Szabolcs Dávid, Pál Kocsis, et al.. (2016). Central sensitization-related changes of effective and functional connectivity in the rat inflammatory trigeminal pain model. Neuroscience. 344. 133–147. 20 indexed citations
19.
Sárvári, Miklós, Pál Kocsis, Levente Deli, et al.. (2014). Ghrelin Modulates the fMRI BOLD Response of Homeostatic and Hedonic Brain Centers Regulating Energy Balance in the Rat. PLoS ONE. 9(5). e97651–e97651. 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.

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