Daniëlle M. E. van Assema

1.2k total citations
17 papers, 652 citations indexed

About

Daniëlle M. E. van Assema is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Daniëlle M. E. van Assema has authored 17 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Psychiatry and Mental health and 6 papers in Physiology. Recurrent topics in Daniëlle M. E. van Assema's work include Alzheimer's disease research and treatments (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Pharmacological Effects and Toxicity Studies (4 papers). Daniëlle M. E. van Assema is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Pharmacological Effects and Toxicity Studies (4 papers). Daniëlle M. E. van Assema collaborates with scholars based in Netherlands, Sweden and Austria. Daniëlle M. E. van Assema's co-authors include Adriaan A. Lammertsma, Bart N.M. van Berckel, Philip Scheltens, Albert D. Windhorst, Robert C. Schuit, Mark Lubberink, Wiesje M. van der Flier, Nelleke Tolboom, Ronald Boellaard and Martin Bauer and has published in prestigious journals such as NeuroImage, Brain and Human Brain Mapping.

In The Last Decade

Daniëlle M. E. van Assema

16 papers receiving 646 citations

Peers

Daniëlle M. E. van Assema

PHYSI

ONCOL

PMH

NEURO

RNMI

Lucy Vivash Australia

Selma Hönigschnabl Austria

Sen-yang Lang China

Esa Heinonen Finland

Ikuo Nomura Japan

Michal Figurski United States

Jessica M. Collins Australia

Thomas Saul United States

Ying‐Ying Shen China

Wang‐Sheng Jin China

Lucy Vivash Australia

Daniëlle M. E. van Assema

166 ×0.6

PHYSI

54 ×0.3

ONCOL

188 ×1.0

PMH

110 ×0.8

NEURO

172 ×1.5

RNMI

Citations per year, relative to Daniëlle M. E. van Assema Daniëlle M. E. van Assema (= 1×) peers Lucy Vivash

Countries citing papers authored by Daniëlle M. E. van Assema

Since Specialization

Citations

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

Fields of papers citing papers by Daniëlle M. E. van Assema

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniëlle M. E. van Assema. 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 Daniëlle M. E. van Assema. The network helps show where Daniëlle M. E. van Assema may publish in the future.

Co-authorship network of co-authors of Daniëlle M. E. van Assema

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

All Works

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17 of 17 papers shown

Neitzel, Julia, Rebecca M. E. Steketee, Daniëlle M. E. van Assema, et al.. (2022). Diabetes and hypertension are related to amyloid-beta burden in the population-based Rotterdam Study. Brain. 146(1). 337–348. 51 indexed citations

Assema, Daniëlle M. E. van, et al.. (2021). A dedicated paediatric [18F]FDG PET/CT dosage regimen. EJNMMI Research. 11(1). 65–65. 9 indexed citations

Segbers, Marcel, et al.. (2020). Standardized image quality for 68Ga-DOTA-TATE PET/CT. EJNMMI Research. 10(1). 27–27. 13 indexed citations

Bleeker‐Rovers, Chantal P., Floris H. P. van Velden, Daniëlle M. E. van Assema, et al.. (2020). Evaluation of FDG-PET/CT Use in Children with Suspected Infection or Inflammation. Diagnostics. 10(9). 715–715. 5 indexed citations

Assema, Daniëlle M. E. van, Gerben J.C. Zwezerijnen, Biswadjiet S. Harhangi, et al.. (2020). Isotopic Scintigraphy in Intrathecal Drug Delivery Failure: A Single-Institution Case Series. Neuromodulation Technology at the Neural Interface. 24(7). 1190–1198. 1 indexed citations

Harhangi, Biswadjiet S., Pieter Jan van Doormaal, Wouter Dinkelaar, et al.. (2019). Restoration of rostral cerebrospinal fluid flow to solve treatment failure caused by obstruction in long-term intrathecal baclofen administration. Journal of Spinal Cord Medicine. 44(2). 312–321. 1 indexed citations

Collij, Lyduine E., Elles Konijnenberg, Juhan Reimand, et al.. (2018). Assessing Amyloid Pathology in Cognitively Normal Subjects Using ¹⁸F-Flutemetamol PET: Comparing Visual Reads and Quantitative Methods. Journal of Nuclear Medicine. 60(4). 541–547. 45 indexed citations

Assema, Daniëlle M. E. van & Bart van Berckel. (2016). Blood-Brain Barrier ABC-transporter P-glycoprotein in Alzheimer's Disease: Still a Suspect?. Current Pharmaceutical Design. 22(38). 5808–5816. 13 indexed citations

Velden, Floris H. P. van, Daniëlle M. E. van Assema, Bart N.M. van Berckel, et al.. (2014). Comparison of HRRT and HR+ Scanners for Quantitative (R)-[11C]verapamil, [11C]raclopride and [11C]flumazenil Brain Studies. Molecular Imaging and Biology. 17(1). 129–139. 10 indexed citations

10.

Berckel, Bart van, Jeroen Goos, Daniëlle M. E. van Assema, et al.. (2013). IC‐P‐005: Cerebral amyloid angiopathy in Alzheimer's disease is associated with increased blood‐brain barrier permeability: A quantitative [11C]PiB‐PET study. Alzheimer s & Dementia. 9(4S_Part_1). 1 indexed citations

11.

Assema, Daniëlle M. E. van, Mark Lubberink, Ronald Boellaard, et al.. (2012). P-Glycoprotein Function at the Blood–Brain Barrier: Effects of Age and Gender. Molecular Imaging and Biology. 14(6). 771–776. 117 indexed citations

12.

Ossenkoppele, Rik, Marissa D. Zwan, Nelleke Tolboom, et al.. (2012). Amyloid burden and metabolic function in early-onset Alzheimer's disease: parietal lobe involvement. Brain. 135(7). 2115–2125. 96 indexed citations

13.

Adriaanse, Sofie M., Ernesto Sanz‐Arigita, Maja Binnewijzend, et al.. (2012). Amyloid and its association with default network integrity in Alzheimer's disease. Human Brain Mapping. 35(3). 779–791. 37 indexed citations

14.

Assema, Daniëlle M. E. van, Mark Lubberink, Martin Bauer, et al.. (2011). Blood–brain barrier P-glycoprotein function in Alzheimer's disease. Brain. 135(1). 181–189. 249 indexed citations

15.

Assema, Daniëlle M. E. van, Philip Scheltens, Bart N.M. van Berckel, et al.. (2011). O1‐07‐04: Blood‐brain barrier p‐glycoprotein function in Alzheimer's disease. Alzheimer s & Dementia. 7(4S_Part_3). 2 indexed citations

16.

Huisman, Marc C., Floris H. P. van Velden, M. Sibomana, et al.. (2010). Quantitative Accuracy of the HRRT in an Interscanner Study with the HR+ and (R)-[11C]verapamil. Pure Amsterdam UMC. 1 indexed citations

17.

Assema, Daniëlle M. E. van, Mark Lubberink, Nikie J. Hoetjes, et al.. (2010). Decreased P-glycoprotein function at the blood–brain barrier in patients with Alzheimer's disease as shown by (R)-[11C]verapamil and PET. NeuroImage. 52. S53–S53. 1 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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