Eline E. Verwer

743 total citations
17 papers, 501 citations indexed

About

Eline E. Verwer is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cancer Research. According to data from OpenAlex, Eline E. Verwer has authored 17 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Neurology and 5 papers in Cancer Research. Recurrent topics in Eline E. Verwer's work include Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Eline E. Verwer is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Eline E. Verwer collaborates with scholars based in Netherlands, United States and Estonia. Eline E. Verwer's co-authors include Ronald Boellaard, Marc D. Normandin, Keith A. Johnson, Teresa Gómez‐Isla, Marta Marquié, Ana C. Amaral, Matthew P. Frosch, Jose A. Gonzalez, Idris Bahce and Otto S. Hoekstra and has published in prestigious journals such as Clinical Cancer Research, Acta Neuropathologica and Journal of Nuclear Medicine.

In The Last Decade

Eline E. Verwer

17 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
Eline E. Verwer Netherlands 13 252 175 101 91 68 17 501
Nicolas J. Guehl United States 13 208 0.8× 164 0.9× 97 1.0× 73 0.8× 25 0.4× 48 570
Mark Battle Spain 11 225 0.9× 129 0.7× 144 1.4× 19 0.2× 42 0.6× 27 477
Björn Lampinen Sweden 14 581 2.3× 122 0.7× 60 0.6× 115 1.3× 42 0.6× 23 798
Sabine Wittemer‐Rump Germany 6 193 0.8× 296 1.7× 252 2.5× 37 0.4× 50 0.7× 14 598
L. Kracht Germany 11 127 0.5× 43 0.2× 52 0.5× 81 0.9× 37 0.5× 16 365
Azzam Ismail United Kingdom 12 77 0.3× 197 1.1× 184 1.8× 72 0.8× 57 0.8× 31 459
Daniel Yokell United States 11 197 0.8× 91 0.5× 52 0.5× 49 0.5× 12 0.2× 21 377
Yasuhiko Ikari Japan 12 350 1.4× 128 0.7× 136 1.3× 39 0.4× 55 0.8× 21 573
Nicolas Durieux France 13 84 0.3× 126 0.7× 114 1.1× 236 2.6× 75 1.1× 33 548
Norbert Wild Germany 14 71 0.3× 157 0.9× 101 1.0× 32 0.4× 77 1.1× 28 558

Countries citing papers authored by Eline E. Verwer

Since Specialization
Citations

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

Fields of papers citing papers by Eline E. Verwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eline E. Verwer. 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 Eline E. Verwer. The network helps show where Eline E. Verwer may publish in the future.

Co-authorship network of co-authors of Eline E. Verwer

This figure shows the co-authorship network connecting the top 25 collaborators of Eline E. Verwer. A scholar is included among the top collaborators of Eline E. Verwer 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 Eline E. Verwer. Eline E. Verwer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Shekari, Mahnaz, Eline E. Verwer, Maqsood Yaqub, et al.. (2023). Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan. EJNMMI Physics. 10(1). 68–68. 15 indexed citations
2.
Verwer, Eline E., Sandeep S.V. Golla, Andres Kaalep, et al.. (2021). Harmonisation of PET/CT contrast recovery performance for brain studies. European Journal of Nuclear Medicine and Molecular Imaging. 48(9). 2856–2870. 28 indexed citations
3.
Marquié, Marta, Cinthya Agüero, Ana C. Amaral, et al.. (2019). [18F]-AV-1451 binding profile in chronic traumatic encephalopathy: a postmortem case series. Acta Neuropathologica Communications. 7(1). 164–164. 28 indexed citations
4.
Kaalep, Andres, Coreline N. Burggraaff, Simone Pieplenbosch, et al.. (2019). Quantitative implications of the updated EARL 2019 PET–CT performance standards. EJNMMI Physics. 6(1). 39 indexed citations
5.
Verwer, Eline E., et al.. (2018). Performance evaluation of a novel brain-dedicated SPECT system. EJNMMI Physics. 5(1). 4–4. 14 indexed citations
6.
Adriaanse, Sofie M., et al.. (2018). Clinical evaluation of [123I]FP-CIT SPECT scans on the novel brain-dedicated InSPira HD SPECT system: a head-to-head comparison. EJNMMI Research. 8(1). 85–85. 4 indexed citations
7.
Verwer, Eline E., Kazue Takahashi, Shuyan Wang, et al.. (2018). [18F]Fluorocholine and [18F]Fluoroacetate PET as Imaging Biomarkers to Assess Phosphatidylcholine and Mitochondrial Metabolism in Preclinical Models of TSC and LAM. Clinical Cancer Research. 24(23). 5925–5938. 8 indexed citations
8.
Marquié, Marta, Eline E. Verwer, Cinthya Agüero, et al.. (2017). Lessons learned about [F-18]-AV-1451 off-target binding from an autopsy-confirmed Parkinson’s case. Acta Neuropathologica Communications. 5(1). 75–75. 85 indexed citations
9.
Marquié, Marta, Alejandro Antón‐Fernández, Eline E. Verwer, et al.. (2017). [F-18]-AV-1451 binding correlates with postmortem neurofibrillary tangle Braak staging. Acta Neuropathologica. 134(4). 619–628. 73 indexed citations
10.
Wooten, Dustin, Nicolas J. Guehl, Eline E. Verwer, et al.. (2016). Pharmacokinetic Evaluation of the Tau PET Radiotracer 18F-T807 (18F-AV-1451) in Human Subjects. Journal of Nuclear Medicine. 58(3). 484–491. 69 indexed citations
11.
Verwer, Eline E., Catharina M.L. Zegers, Wouter van Elmpt, et al.. (2016). Pharmacokinetic modeling of a novel hypoxia PET tracer [18F]HX4 in patients with non-small cell lung cancer. EJNMMI Physics. 3(1). 30–30. 10 indexed citations
12.
Kramer, Gem, Eline E. Verwer, Marc C. Huisman, et al.. (2015). Multiparametric Analysis of the Relationship Between Tumor Hypoxia and Perfusion with 18F-Fluoroazomycin Arabinoside and 15O-H2O PET. Journal of Nuclear Medicine. 57(4). 530–535. 13 indexed citations
13.
Verwer, Eline E., Daniela E. Oprea‐Lager, Alfons J.M. van den Eertwegh, et al.. (2015). Quantification of 18F-Fluorocholine Kinetics in Patients with Prostate Cancer. Journal of Nuclear Medicine. 56(3). 365–371. 26 indexed citations
14.
Bahce, Idris, Marc C. Huisman, Eline E. Verwer, et al.. (2014). Pilot study of 89Zr-bevacizumab positron emission tomography in patients with advanced non-small cell lung cancer. EJNMMI Research. 4(1). 35–35. 44 indexed citations
15.
Verwer, Eline E.. (2014). Positron emission tomography to assess hypoxia and perfusion in lung cancer. World Journal of Clinical Oncology. 5(5). 824–824. 12 indexed citations
16.
Verwer, Eline E., Idris Bahce, Floris H. P. van Velden, et al.. (2014). Parametric Methods for Quantification of 18F-FAZA Kinetics in Non–Small Cell Lung Cancer Patients. Journal of Nuclear Medicine. 55(11). 1772–1777. 12 indexed citations
17.
Verwer, Eline E., Floris H. P. van Velden, Idris Bahce, et al.. (2013). Pharmacokinetic analysis of [18F]FAZA in non-small cell lung cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 40(10). 1523–1531. 21 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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