Hanneke E. Hulst

4.9k total citations · 1 hit paper
82 papers, 3.3k citations indexed

About

Hanneke E. Hulst is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Hanneke E. Hulst has authored 82 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Pathology and Forensic Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Cognitive Neuroscience. Recurrent topics in Hanneke E. Hulst's work include Multiple Sclerosis Research Studies (67 papers), Functional Brain Connectivity Studies (18 papers) and Advanced Neuroimaging Techniques and Applications (18 papers). Hanneke E. Hulst is often cited by papers focused on Multiple Sclerosis Research Studies (67 papers), Functional Brain Connectivity Studies (18 papers) and Advanced Neuroimaging Techniques and Applications (18 papers). Hanneke E. Hulst collaborates with scholars based in Netherlands, United Kingdom and United States. Hanneke E. Hulst's co-authors include Jeroen J.G. Geurts, Frederik Barkhof, Menno M. Schoonheim, Bernard M.J. Uitdehaag, Stefan D. Roosendaal, Hugo Vrenken, Maria A. Rocca, Christian Enzinger, Massimo Filippi and Jonas A. Castelijns and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Hanneke E. Hulst

73 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cognition in multiple sclerosis

2018 395 citations Ralph H. B. Benedict, Christian Enzinger et al. Neurology profile →

Peers

Hanneke E. Hulst

PFM

RNMI

NEURO

Gianna Carla Riccitelli Italy

Martijn D. Steenwijk Netherlands

Caterina Mainero United States

Valentina Tomassini Italy

Bertrand Audoin France

Antonio Giorgio Italy

Ahmed Toosy United Kingdom

Cristina Granziera Switzerland

Stefan D. Roosendaal Netherlands

Irina Malikova France

Gianna Carla Riccitelli Italy

Hanneke E. Hulst

2.1k ×0.9

PFM

720 ×0.8

RNMI

534 ×0.7

703 ×1.2

NEURO

457 ×0.8

NEURO

Citations per year, relative to Hanneke E. Hulst Hanneke E. Hulst (= 1×) peers Gianna Carla Riccitelli

Countries citing papers authored by Hanneke E. Hulst

Since Specialization

Citations

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

Fields of papers citing papers by Hanneke E. Hulst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanneke E. Hulst

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

All Works

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20 of 20 papers shown

Beckerman, Heleen, Menno M. Schoonheim, Odile A. van den Heuvel, et al.. (2025). Associations between physical fitness and structural and functional MRI measures in secondary progressive multiple sclerosis: Cross-sectional findings from the exercise PRO-MS study. Multiple Sclerosis and Related Disorders. 97. 106407–106407. 1 indexed citations

Vries, Juriena D. de, et al.. (2025). Sustainable employability of Dutch medical doctors: a test of the role of psychosocial safety climate in the Job Demands-Resources model. Psychology Health & Medicine. 31(1). 13–34.

Beckerman, Heleen, Tommy A.A. Broeders, Menno M. Schoonheim, et al.. (2025). Effects of 16-week progressive resistance training on neurodegeneration in people with progressive multiple sclerosis: An extended baseline within-person trial. Multiple Sclerosis and Related Disorders. 98. 106411–106411.

Hiele, Karin van der, Ehsan Motazedi, Leo H. Visser, et al.. (2025). What Predicts Changes in the Work Situation of Recently Diagnosed People with Multiple Sclerosis and do these Predictors also Apply to Healthy People?. Journal of Occupational Rehabilitation.

Jonkman, Laura E., et al.. (2024). Isolated cognitive impairment in people with multiple sclerosis: frequency, MRI patterns and its development over time. Journal of Neurology. 271(5). 2159–2168. 4 indexed citations

Bosmans, Judith E., Vincent de Groot, Brigit A. de Jong, et al.. (2024). Combining Exercise and Cognitive Training to Postpone Cognitive Decline in People with Multiple Sclerosis: Part of the Don't be late! Study Protocol. Multiple Sclerosis and Related Disorders. 86. 105590–105590.

Jong, Brigit A. de, Eline A.J. Willemse, Ilse M. Nauta, et al.. (2023). A multimodal marker for cognitive functioning in multiple sclerosis: the role of NfL, GFAP and conventional MRI in predicting cognitive functioning in a prospective clinical cohort. Journal of Neurology. 270(8). 3851–3861. 13 indexed citations

Twisk, Jos W. R., Iman Brouwer, Joost P.A. Kuijer, et al.. (2023). Multimodal MRI study on the relation between WM integrity and connected GM atrophy and its effect on disability in early multiple sclerosis. Journal of Neurology. 271(1). 355–373. 2 indexed citations

Ziccardi, Stefano, Tom Fuchs, Michael G. Dwyer, et al.. (2023). Cognitive phenotypes predict response to restorative cognitive rehabilitation in multiple sclerosis. Multiple Sclerosis Journal. 30(3). 448–452. 6 indexed citations

10.

Visconte, Caterina, María Serpente, Maria Teresa Golia, et al.. (2022). miR-150-5p and let-7b-5p in Blood Myeloid Extracellular Vesicles Track Cognitive Symptoms in Patients with Multiple Sclerosis. Cells. 11(9). 1551–1551. 18 indexed citations

11.

Beckerman, Heleen, Eline A.J. Willemse, Hanneke E. Hulst, et al.. (2022). Brain-derived neurotrophic factor, neurofilament light and glial fibrillary acidic protein do not change in response to aerobic training in people with MS-related fatigue – a secondary analysis of a randomized controlled trial. Multiple Sclerosis and Related Disorders. 70. 104489–104489. 12 indexed citations

12.

Benedict, RHB, E. A. C. Beenakker, J.J.J. van Eijk, et al.. (2022). Subjective cognitive impairment is related to work status in people with multiple sclerosis. IBRO Neuroscience Reports. 13. 513–522. 6 indexed citations

13.

Fuchs, Tom, Menno M. Schoonheim, Tommy A.A. Broeders, et al.. (2021). Functional network dynamics and decreased conscientiousness in multiple sclerosis. Journal of Neurology. 269(5). 2696–2706. 8 indexed citations

14.

Eijlers, A. J. C., Iris Dekker, Kim Meijer, et al.. (2019). Cortical atrophy accelerates as cognitive decline worsens in multiple sclerosis. Neurology. 93(14). e1348–e1359. 60 indexed citations

15.

Geest, Quinten van, Rosa E. Boeschoten, Martijn D. Steenwijk, et al.. (2018). Fronto-limbic disconnection in patients with multiple sclerosis and depression. Multiple Sclerosis Journal. 25(5). 715–726. 31 indexed citations

16.

Rocca, Maria A., Frederik Barkhof, Jonas Frisén, et al.. (2018). The hippocampus in multiple sclerosis. The Lancet Neurology. 17(10). 918–926. 95 indexed citations

17.

Valsasina, Paola, Maria A. Rocca, Maria Laura Stromillo, et al.. (2016). Hippocampal and Deep Gray Matter Nuclei Atrophy Is Relevant for Explaining Cognitive Impairment in MS: A Multicenter Study. American Journal of Neuroradiology. 38(1). 18–24. 71 indexed citations

18.

Hulst, Hanneke E., Thomas Goldschmidt, Michael A. Nitsche, et al.. (2016). rTMS affects working memory performance, brain activation and functional connectivity in patients with multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 88(5). 386–394. 53 indexed citations

19.

Preziosa, Paolo, Maria A. Rocca, Manfredo Atzori, et al.. (2014). Structural MRI correlates of cognitive impairment in patients with multiple sclerosis: A Multicenter Study. UCL Discovery (University College London). 4 indexed citations

20.

Barkhof, Frederik, Hanneke E. Hulst, Jelena Drulović, et al.. (2010). Ibudilast in relapsing-remitting multiple sclerosis. Neurology. 74(13). 1033–1040. 109 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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