Pim Pullens

1.4k total citations
33 papers, 711 citations indexed

About

Pim Pullens is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oncology. According to data from OpenAlex, Pim Pullens has authored 33 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 5 papers in Oncology. Recurrent topics in Pim Pullens's work include Advanced Neuroimaging Techniques and Applications (12 papers), MRI in cancer diagnosis (10 papers) and Advanced MRI Techniques and Applications (9 papers). Pim Pullens is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (12 papers), MRI in cancer diagnosis (10 papers) and Advanced MRI Techniques and Applications (9 papers). Pim Pullens collaborates with scholars based in Belgium, Netherlands and United States. Pim Pullens's co-authors include Rainer Goebel, Béatrice de Gelder, Lawrence Weiskrantz, Marco Tamietto, Paul M. Parizel, Alard Roebroeck, Laura M. Parkes, Jens Schwarzbach, Christian Kerskens and David G. Norris and has published in prestigious journals such as Current Biology, Brain Research and Journal of Controlled Release.

In The Last Decade

Pim Pullens

29 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pim Pullens Belgium 14 310 288 79 56 47 33 711
Yusuke Tabei Japan 16 196 0.6× 227 0.8× 31 0.4× 67 1.2× 40 0.9× 44 739
Tatsuro Kaminaga Japan 14 239 0.8× 233 0.8× 90 1.1× 46 0.8× 195 4.1× 52 850
Nancy Madigan United States 13 172 0.6× 135 0.5× 65 0.8× 55 1.0× 24 0.5× 16 817
E. Cassol France 11 235 0.8× 381 1.3× 73 0.9× 22 0.4× 42 0.9× 27 845
Mikołaj A. Pawlak Poland 19 418 1.3× 179 0.6× 39 0.5× 36 0.6× 19 0.4× 48 1.1k
Soyoung Choi United States 18 239 0.8× 294 1.0× 24 0.3× 27 0.5× 13 0.3× 48 777
Annette O. Nusbaum United States 13 220 0.7× 341 1.2× 17 0.2× 24 0.4× 82 1.7× 18 842
Ulrike Haberland Germany 15 174 0.6× 362 1.3× 248 3.1× 49 0.9× 37 0.8× 29 772
Atsushi Umetsu Japan 12 302 1.0× 372 1.3× 26 0.3× 59 1.1× 47 1.0× 21 959
Efrosini Papadaki Greece 17 130 0.4× 248 0.9× 59 0.7× 37 0.7× 78 1.7× 66 780

Countries citing papers authored by Pim Pullens

Since Specialization
Citations

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

Fields of papers citing papers by Pim Pullens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pim Pullens

This figure shows the co-authorship network connecting the top 25 collaborators of Pim Pullens. A scholar is included among the top collaborators of Pim Pullens 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 Pim Pullens. Pim Pullens 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.
Blommaert, Jeroen, Maarten Lambrecht, Michiel B. de Ruiter, et al.. (2024). Hippocampal avoidance prophylactic cranial irradiation (HA-PCI) for small-cell lung cancer better preserves white matter networks compared to conventional PCI. Neuro-Oncology. 27(5). 1285–1296. 1 indexed citations
3.
Pullens, Pim, et al.. (2024). Image-guided patient-specific prediction of interstitial fluid flow and drug transport in solid tumors. Journal of Controlled Release. 378. 899–911. 1 indexed citations
4.
Broeckx, Bart J. G., Myriam Hesta, Eva Vandermeulen, et al.. (2024). Assessment of pharmacologically induced changes in canine kidney function by multiparametric magnetic resonance imaging and contrast enhanced ultrasound. Frontiers in Veterinary Science. 11. 1406343–1406343.
6.
Pullens, Pim, et al.. (2023). Drug transport modeling in solid tumors: A computational exploration of spatial heterogeneity of biophysical properties. Computers in Biology and Medicine. 163. 107190–107190. 5 indexed citations
7.
Pullens, Pim, et al.. (2023). Hydraulic conductivity of human cancer tissue: A hybrid study. Bioengineering & Translational Medicine. 9(2). e10617–e10617. 6 indexed citations
9.
Debbaut, Charlotte, et al.. (2022). Interstitial fluid pressure as an emerging biomarker in solid tumors. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1877(5). 188792–188792. 51 indexed citations
10.
Leijnse, J.N.A.L., C.W. Spoor, Pim Pullens, & Evie Vereecke. (2021). Kinematic and dynamic aspects of chimpanzee knuckle walking: finger flexors likely do not buffer ground impact forces. Journal of Experimental Biology. 224(19). 5 indexed citations
11.
Chen, Min, et al.. (2021). MRI-based synthetic CT of the lumbar spine: Geometric measurements for surgery planning in comparison with CT. European Journal of Radiology. 144. 109999–109999. 53 indexed citations
12.
Deprez, Sabine, Michiel B. de Ruiter, Ronald Peeters, et al.. (2018). Multi-center reproducibility of structural, diffusion tensor, and resting state functional magnetic resonance imaging measures. Neuroradiology. 60(6). 617–634. 12 indexed citations
13.
Grudzenski, Saskia, Anne Ebert, Pim Pullens, et al.. (2017). The effect of adipose tissue-derived stem cells in a middle cerebral artery occlusion stroke model depends on their engraftment rate. Stem Cell Research & Therapy. 8(1). 96–96. 16 indexed citations
14.
Bondt, Timo De, Pim Pullens, Wim Van Hecke, Yves Jacquemyn, & Paul M. Parizel. (2016). Reproducibility of hormone-driven regional grey matter volume changes in women using SPM8 and SPM12. Brain Structure and Function. 221(9). 4631–4641. 26 indexed citations
15.
Hecke, Wim Van, Bart Feyen, Gregory Van der Steen, et al.. (2016). Diffusion Tensor Imaging. Neurosurgery. 79(6). 786–793. 24 indexed citations
16.
Bondt, Timo De, Dirk Smeets, Pim Pullens, et al.. (2015). Stability of resting state networks in the female brain during hormonal changes and their relation to premenstrual symptoms. Brain Research. 1624. 275–285. 50 indexed citations
17.
Prčkovska, Vesna, Matteo Bastiani, Pim Pullens, et al.. (2013). Optimal Short-Time Acquisition Schemes in High Angular Resolution Diffusion-Weighted Imaging. International Journal of Biomedical Imaging. 2013. 1–17. 11 indexed citations
18.
Tamietto, Marco, Pim Pullens, Béatrice de Gelder, Lawrence Weiskrantz, & Rainer Goebel. (2012). Subcortical Connections to Human Amygdala and Changes following Destruction of the Visual Cortex. Current Biology. 22(15). 1449–1455. 175 indexed citations
19.
Pullens, Pim, Alard Roebroeck, & Rainer Goebel. (2010). Ground truth hardware phantoms for validation of diffusion‐weighted MRI applications. Journal of Magnetic Resonance Imaging. 32(2). 482–488. 43 indexed citations
20.
Shen, Ka, X.P. Li, Pim Pullens, et al.. (2005). Key Feature Extraction for Fatigue Identification using Random Forests. PubMed. 4. 2044–2047. 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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