Fransje E. Reesink

860 total citations
25 papers, 596 citations indexed

About

Fransje E. Reesink is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Fransje E. Reesink has authored 25 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Cognitive Neuroscience. Recurrent topics in Fransje E. Reesink's work include Dementia and Cognitive Impairment Research (15 papers), Functional Brain Connectivity Studies (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Fransje E. Reesink is often cited by papers focused on Dementia and Cognitive Impairment Research (15 papers), Functional Brain Connectivity Studies (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Fransje E. Reesink collaborates with scholars based in Netherlands, Belgium and Canada. Fransje E. Reesink's co-authors include Wiesje M. van der Flier, Philip Scheltens, Marinus A. Blankenstein, Charlotte E. Teunissen, Peter M. van de Ven, Annemieke J.M. Rozemüller, Niki S.M. Schoonenboom, Yolande A.L. Pijnenburg, Maartje I. Kester and Nicolaas A. Verwey and has published in prestigious journals such as PLoS ONE, Neurology and Neurobiology of Aging.

In The Last Decade

Fransje E. Reesink

24 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fransje E. Reesink Netherlands 12 302 265 234 106 93 25 596
Cathleen Haense Germany 11 215 0.7× 255 1.0× 131 0.6× 84 0.8× 112 1.2× 19 563
Pai‐Yi Chiu Taiwan 14 200 0.7× 266 1.0× 147 0.6× 105 1.0× 40 0.4× 55 594
Everard G.B. Vijverberg Netherlands 16 374 1.2× 355 1.3× 305 1.3× 102 1.0× 34 0.4× 56 785
Denis S. Smirnov United States 14 316 1.0× 279 1.1× 171 0.7× 100 0.9× 29 0.3× 29 625
Benjamin Lam Canada 12 231 0.8× 245 0.9× 122 0.5× 66 0.6× 58 0.6× 32 702
Ainara Estanga Spain 15 184 0.6× 218 0.8× 152 0.6× 87 0.8× 47 0.5× 31 522
Jonathan Graff‐Radford United States 15 571 1.9× 543 2.0× 232 1.0× 134 1.3× 141 1.5× 29 886
Catharina Lange Germany 16 253 0.8× 300 1.1× 234 1.0× 102 1.0× 271 2.9× 51 870
Rodrigo Perea United States 12 238 0.8× 185 0.7× 93 0.4× 65 0.6× 138 1.5× 19 558
Teresa Waligórska United States 11 311 1.0× 259 1.0× 132 0.6× 57 0.5× 34 0.4× 19 536

Countries citing papers authored by Fransje E. Reesink

Since Specialization
Citations

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

Fields of papers citing papers by Fransje E. Reesink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fransje E. Reesink

This figure shows the co-authorship network connecting the top 25 collaborators of Fransje E. Reesink. A scholar is included among the top collaborators of Fransje E. Reesink 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 Fransje E. Reesink. Fransje E. Reesink 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.
Marsman, Jan‐Bernard C., Sander Martens, Shankar Tumati, et al.. (2024). Alterations in Gray Matter Structural Networks in Amnestic Mild Cognitive Impairment: A Source-Based Morphometry Study. Journal of Alzheimer s Disease. 101(1). 61–73.
2.
Luurtsema, Gert, Fransje E. Reesink, Nicolaas A. Verwey, et al.. (2024). The impact of tau-PET in a selected memory clinic cohort: rationale and design of the TAP-TAU study. Alzheimer s Research & Therapy. 16(1). 230–230. 2 indexed citations
3.
Carli, Giulia, Sanne K. Meles, Fransje E. Reesink, et al.. (2023). Comparison of univariate and multivariate analyses for brain [18F]FDG PET data in α-synucleinopathies. NeuroImage Clinical. 39. 103475–103475. 7 indexed citations
4.
Zhang, Zhen‐Yu, Esther M. Opmeer, Peter Paul De Deyn, et al.. (2023). Cognitive functions as predictors of daily functioning among older adults. Alzheimer s & Dementia. 19(S18). 1 indexed citations
5.
Meles, Sanne K., Remco J. Renken, Fransje E. Reesink, et al.. (2022). FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder. Computer Methods and Programs in Biomedicine. 225. 107042–107042. 18 indexed citations
6.
Peretti, Débora Elisa, David Vállez García, Remco J. Renken, et al.. (2022). Alzheimer’s disease pattern derived from relative cerebral flow as an alternative for the metabolic pattern using SSM/PCA. EJNMMI Research. 12(1). 37–37. 4 indexed citations
7.
Peretti, Débora Elisa, Remco J. Renken, Fransje E. Reesink, et al.. (2021). Feasibility of pharmacokinetic parametric PET images in scaled subprofile modelling using principal component analysis. NeuroImage Clinical. 30. 102625–102625. 8 indexed citations
8.
Naudé, Petrus J.W., Inez H.G.B. Ramakers, Wiesje M. van der Flier, et al.. (2021). Serum and cerebrospinal fluid Neutrophil gelatinase-associated lipocalin (NGAL) levels as biomarkers for the conversion from mild cognitive impairment to Alzheimer's disease dementia. Neurobiology of Aging. 107. 1–10. 16 indexed citations
9.
Tumati, Shankar, Esther M. Opmeer, Jan‐Bernard C. Marsman, et al.. (2021). Planning in amnestic mild cognitive impairment: an fMRI study. Experimental Gerontology. 159. 111673–111673. 3 indexed citations
10.
García, David Vállez, Antoon T. M. Willemsen, Fransje E. Reesink, et al.. (2021). Amyloid burden quantification depends on PET and MR image processing methodology. PLoS ONE. 16(3). e0248122–e0248122. 11 indexed citations
11.
Martens, Sander, Esther M. Opmeer, Jan‐Bernard C. Marsman, et al.. (2021). Widespread white matter aberration is associated with the severity of apathy in amnestic Mild Cognitive Impairment: Tract-based spatial statistics analysis. NeuroImage Clinical. 29. 102567–102567. 16 indexed citations
12.
Maeckelberghe, Els, J.J. de Vries, Ameen Abu‐Hanna, et al.. (2021). Knowledge, health beliefs and attitudes towards dementia and dementia risk reduction among descendants of people with dementia: a qualitative study using focus group discussions. BMC Public Health. 21(1). 1344–1344. 11 indexed citations
14.
Reesink, Fransje E., et al.. (2020). Emotion Recognition and Traffic-Related Risk-Taking Behavior in Patients with Neurodegenerative Diseases. Journal of the International Neuropsychological Society. 27(2). 136–145. 4 indexed citations
15.
Peretti, Débora Elisa, David Vállez García, Fransje E. Reesink, et al.. (2019). Relative cerebral flow from dynamic PIB scans as an alternative for FDG scans in Alzheimer’s disease PET studies. PLoS ONE. 14(1). e0211000–e0211000. 35 indexed citations
16.
Tumati, Shankar, Esther M. Opmeer, Jan‐Bernard C. Marsman, et al.. (2018). Lower Choline and Myo-Inositol in Temporo-Parietal Cortex Is Associated With Apathy in Amnestic MCI. Frontiers in Aging Neuroscience. 10. 106–106. 17 indexed citations
17.
Meles, Sanne K., Dávid Vadász, Remco J. Renken, et al.. (2017). FDG PET, dopamine transporter SPECT, and olfaction: Combining biomarkers in REM sleep behavior disorder. Movement Disorders. 32(10). 1482–1486. 64 indexed citations
18.
Geijselaers, Stefan L.C., Pauline Aalten, Inez H.G.B. Ramakers, et al.. (2017). Association of Cerebrospinal Fluid (CSF) Insulin with Cognitive Performance and CSF Biomarkers of Alzheimer’s Disease. Journal of Alzheimer s Disease. 61(1). 309–320. 36 indexed citations
19.
Schoonenboom, Niki S.M., Fransje E. Reesink, Nicolaas A. Verwey, et al.. (2011). Cerebrospinal fluid markers for differential dementia diagnosis in a large memory clinic cohort. Neurology. 78(1). 47–54. 235 indexed citations
20.
Reesink, Fransje E., Karin D. van Dijk, Henk W. Berendse, et al.. (2010). P3‐263: CSF alpha‐synuclein is not diagnostic for dementia with Lewy bodies, but related to cognitive decline. Alzheimer s & Dementia. 6(4S_Part_17). 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026