Fiona Heeman

887 total citations
27 papers, 381 citations indexed

About

Fiona Heeman is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Fiona Heeman has authored 27 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Psychiatry and Mental health, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Cognitive Neuroscience. Recurrent topics in Fiona Heeman's work include Dementia and Cognitive Impairment Research (16 papers), Medical Imaging Techniques and Applications (12 papers) and Functional Brain Connectivity Studies (9 papers). Fiona Heeman is often cited by papers focused on Dementia and Cognitive Impairment Research (16 papers), Medical Imaging Techniques and Applications (12 papers) and Functional Brain Connectivity Studies (9 papers). Fiona Heeman collaborates with scholars based in Netherlands, United Kingdom and Spain. Fiona Heeman's co-authors include Isadora Lopes Alves, Juan Domingo Gispert, Frederik Barkhof, Lyduine E. Collij, Bart N.M. van Berckel, Santiago Bullich, Adriaan A. Lammertsma, Gemma Salvadó, Wiesje M. van der Flier and Gill Farrar and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Fiona Heeman

27 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiona Heeman Netherlands 9 188 184 149 113 39 27 381
Isadora Lopes Alves Netherlands 11 243 1.3× 225 1.2× 228 1.5× 146 1.3× 43 1.1× 34 485
Allison Fero United States 3 212 1.1× 112 0.6× 204 1.4× 104 0.9× 40 1.0× 4 312
Denise Visser Netherlands 11 161 0.9× 95 0.5× 173 1.2× 84 0.7× 35 0.9× 29 294
Solveig Tiepolt Germany 15 188 1.0× 273 1.5× 153 1.0× 110 1.0× 32 0.8× 35 539
Juhan Reimand Netherlands 8 190 1.0× 84 0.5× 183 1.2× 79 0.7× 29 0.7× 9 276
Mahnaz Shekari Spain 12 196 1.0× 118 0.6× 217 1.5× 74 0.7× 74 1.9× 38 417
Elles Konijnenberg Netherlands 13 211 1.1× 275 1.5× 170 1.1× 106 0.9× 47 1.2× 22 526
Julia Sauerbeck Germany 8 133 0.7× 102 0.6× 123 0.8× 61 0.5× 24 0.6× 14 260
Rebecca M. E. Steketee Netherlands 14 226 1.2× 261 1.4× 117 0.8× 154 1.4× 77 2.0× 26 552
Hayel Tuncel Netherlands 11 158 0.8× 85 0.5× 206 1.4× 113 1.0× 32 0.8× 19 307

Countries citing papers authored by Fiona Heeman

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Heeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Heeman

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Heeman. A scholar is included among the top collaborators of Fiona Heeman 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 Fiona Heeman. Fiona Heeman 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.
Leuzy, Antoine, Fiona Heeman, Alexis Moscoso, et al.. (2024). REAL AD—Validation of a realistic screening approach for early Alzheimer's disease. Alzheimer s & Dementia. 20(11). 8172–8182. 5 indexed citations
2.
Shekari, Mahnaz, David Vállez García, Lyduine E. Collij, et al.. (2024). Stress testing the Centiloid: Precision and variability of PET quantification of amyloid pathology. Alzheimer s & Dementia. 20(8). 5102–5113. 14 indexed citations
3.
Heeman, Fiona, Pieter Jelle Visser, Anouk den Braber, et al.. (2024). The Early Perfusion Image Is Useful to Support the Visual Interpretation of Brain Amyloid-PET With 18F-Flutemetamol in Borderline Cases. Clinical Nuclear Medicine. 49(9). 838–846. 1 indexed citations
4.
Moscoso, Alexis, Heather J. Wiste, Fiona Heeman, et al.. (2024). Advancing Tau PET Quantification in Alzheimer Disease with Machine Learning: Introducing THETA, a Novel Tau Summary Measure. Journal of Nuclear Medicine. 65(9). 1473–1480. 4 indexed citations
5.
Blennow, Kaj, Fiona Heeman, Silke Kern, et al.. (2023). REAL AD – A realistic screening approach for preclinical Alzheimer’s disease. Alzheimer s & Dementia. 19(S15). 2 indexed citations
6.
Heeman, Fiona, Jan Axelsson, Lyduine E. Collij, et al.. (2023). Impact of simulated reduced injected dose on the assessment of amyloid PET scans. European Journal of Nuclear Medicine and Molecular Imaging. 51(3). 734–748. 3 indexed citations
7.
Heeman, Fiona, Catriona Wimberley, Isadora Lopes Alves, et al.. (2023). NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data. Neuroinformatics. 21(2). 457–468. 2 indexed citations
8.
Coomans, Emma M., Jori Tomassen, Rik Ossenkoppele, et al.. (2023). Genetically identical twin-pair difference models support the amyloid cascade hypothesis. Brain. 146(9). 3735–3746. 4 indexed citations
9.
Heeman, Fiona, Denise Visser, Maqsood Yaqub, et al.. (2022). Precision estimates of relative and absolute cerebral blood flow in Alzheimer’s disease and cognitively normal individuals. Journal of Cerebral Blood Flow & Metabolism. 43(3). 369–378. 4 indexed citations
10.
Pemberton, Hugh, Lyduine E. Collij, Fiona Heeman, et al.. (2022). Quantification of amyloid PET for future clinical use: a state-of-the-art review. European Journal of Nuclear Medicine and Molecular Imaging. 49(10). 3508–3528. 104 indexed citations
11.
Heeman, Fiona, Maqsood Yaqub, Katherine R. Gray, et al.. (2022). Impact of cerebral blood flow and amyloid load on SUVR bias. EJNMMI Research. 12(1). 29–29. 8 indexed citations
12.
Shekari, Mahnaz, David Vállez García, Lyduine E. Collij, et al.. (2022). Evaluating the sensitivity of Centiloid quantification to pipeline design and image resolution. Alzheimer s & Dementia. 18(S6). 1 indexed citations
13.
Shekari, Mahnaz, David Vállez García, Lyduine E. Collij, et al.. (2022). Evaluating the sensitivity of Centiloid quantification to pipeline design and image resoloution. Alzheimer s & Dementia. 18(S6). 1 indexed citations
14.
Alves, Isadora Lopes, Fiona Heeman, Lyduine E. Collij, et al.. (2021). Strategies to reduce sample sizes in Alzheimer’s disease primary and secondary prevention trials using longitudinal amyloid PET imaging. Alzheimer s Research & Therapy. 13(1). 82–82. 15 indexed citations
15.
Heeman, Fiona, Isadora Lopes Alves, Nelleke Tolboom, et al.. (2021). Test-Retest Variability of Relative Tracer Delivery Rate as Measured by [11C]PiB. Molecular Imaging and Biology. 23(3). 335–339. 5 indexed citations
16.
Heeman, Fiona, Isadora Lopes Alves, Rik Ossenkoppele, et al.. (2020). [11C]PIB amyloid quantification: effect of reference region selection. EJNMMI Research. 10(1). 123–123. 19 indexed citations
17.
Alves, Isadora Lopes, Lyduine E. Collij, Fiona Heeman, et al.. (2020). Dynamic PET imaging reduces sample sizes to detect longitudinal amyloid accumulation. Alzheimer s & Dementia. 16(S4). 1 indexed citations
18.
Golla, Sandeep S.V., Jarith L. Ebenau, Sander C.J. Verfaillie, et al.. (2020). Classification of negative and positive 18F-florbetapir brain PET studies in subjective cognitive decline patients using a convolutional neural network. European Journal of Nuclear Medicine and Molecular Imaging. 48(3). 721–728. 19 indexed citations
19.
Heeman, Fiona, Isadora Lopes Alves, Kerstin Heurling, et al.. (2019). Optimized dual-time-window protocols for quantitative [18F]flutemetamol and [18F]florbetaben PET studies. EJNMMI Research. 9(1). 32–32. 37 indexed citations
20.
Collij, Lyduine E., Fiona Heeman, Joost P.A. Kuijer, et al.. (2016). Application of Machine Learning to Arterial Spin Labeling in Mild Cognitive Impairment and Alzheimer Disease. Radiology. 281(3). 865–875. 52 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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