Ilona Lipp

773 total citations
24 papers, 445 citations indexed

About

Ilona Lipp is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cognitive Neuroscience. According to data from OpenAlex, Ilona Lipp has authored 24 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pathology and Forensic Medicine and 8 papers in Cognitive Neuroscience. Recurrent topics in Ilona Lipp's work include Advanced Neuroimaging Techniques and Applications (13 papers), Multiple Sclerosis Research Studies (9 papers) and Advanced MRI Techniques and Applications (8 papers). Ilona Lipp is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (13 papers), Multiple Sclerosis Research Studies (9 papers) and Advanced MRI Techniques and Applications (8 papers). Ilona Lipp collaborates with scholars based in United Kingdom, Germany and Italy. Ilona Lipp's co-authors include Alberto Lazari, Richard G. Wise, Kevin Murphy, Xavier Caseras, Valentina Tomassini, Derek K. Jones, Claudia Metzler‐Baddeley, Anne Rosser, Emma Tallantyre and Eleonora Sgarlata and has published in prestigious journals such as PLoS ONE, NeuroImage and Nature Methods.

In The Last Decade

Ilona Lipp

22 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilona Lipp United Kingdom 11 235 160 87 63 60 24 445
Edoardo Mazzucchi Italy 13 69 0.3× 163 1.0× 76 0.9× 65 1.0× 91 1.5× 48 499
Emily T. Wood United States 13 151 0.6× 167 1.0× 84 1.0× 45 0.7× 40 0.7× 15 549
Amgad Droby Germany 16 310 1.3× 184 1.1× 290 3.3× 42 0.7× 140 2.3× 48 677
Renata Ferranti Leoni Brazil 13 311 1.3× 305 1.9× 34 0.4× 59 0.9× 92 1.5× 45 669
Issei Ueda Japan 16 311 1.3× 201 1.3× 22 0.3× 58 0.9× 125 2.1× 30 671
Greg D. Parker United Kingdom 16 374 1.6× 212 1.3× 33 0.4× 63 1.0× 52 0.9× 24 581
Shilpi Modi India 13 151 0.6× 257 1.6× 23 0.3× 65 1.0× 34 0.6× 44 505
Alena Svátková Czechia 12 190 0.8× 107 0.7× 38 0.4× 29 0.5× 131 2.2× 26 434
Indika S. Walimuni United States 9 253 1.1× 93 0.6× 89 1.0× 25 0.4× 33 0.6× 11 374
Kathryn L. West United States 13 302 1.3× 130 0.8× 87 1.0× 36 0.6× 47 0.8× 19 598

Countries citing papers authored by Ilona Lipp

Since Specialization
Citations

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

Fields of papers citing papers by Ilona Lipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilona Lipp

This figure shows the co-authorship network connecting the top 25 collaborators of Ilona Lipp. A scholar is included among the top collaborators of Ilona Lipp 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 Ilona Lipp. Ilona Lipp 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.
Yang, Yuping, Anna M. Woollams, Ilona Lipp, et al.. (2025). Thalamic Network Controllability Predicts Cognitive Impairment in Multiple Sclerosis. Human Brain Mapping. 46(10). e70284–e70284.
2.
Caporale, Alessandra, Antonio Maria Chiarelli, Emma Biondetti, et al.. (2024). Changes of brain parenchyma free water fraction reflect tissue damage and impaired processing speed in multiple sclerosis. Human Brain Mapping. 45(9). e26761–e26761. 2 indexed citations
3.
Eichner, Cornelius, Michael Paquette, Christa Müller-Axt, et al.. (2024). Detailed mapping of the complex fiber structure and white matter pathways of the chimpanzee brain. Nature Methods. 21(6). 1122–1130. 10 indexed citations
4.
Biondetti, Emma, Antonio Maria Chiarelli, Michael Germuska, et al.. (2023). Breath-hold BOLD fMRI without CO2 sampling enables estimation of venous cerebral blood volume: potential use in normalization of stimulus-evoked BOLD fMRI data. NeuroImage. 285. 120492–120492. 3 indexed citations
5.
Mascali, Daniele, Antonio Maria Chiarelli, Emma Biondetti, et al.. (2023). Pathophysiology of multiple sclerosis damage and repair: Linking cerebral hypoperfusion to the development of irreversible tissue loss in multiple sclerosis using magnetic resonance imaging. European Journal of Neurology. 30(8). 2348–2356. 3 indexed citations
6.
Lipp, Ilona, et al.. (2023). Changes in brain perfusion with training-related visuomotor improvement in MS. Frontiers in Molecular Neuroscience. 16. 1270393–1270393. 1 indexed citations
7.
Lipp, Ilona, Evgeniya Kirilina, Luke Edwards, et al.. (2022). B1+$$ {B}_1^{+} $$‐correction of magnetization transfer saturation maps optimized for 7T postmortem MRI of the brain. Magnetic Resonance in Medicine. 89(4). 1385–1400. 1 indexed citations
8.
Kamentsky, Lee, Giacomo Mazzamuto, Alberto Lazari, et al.. (2022). Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data. Frontiers in Neuroscience. 16. 871228–871228. 10 indexed citations
9.
10.
Lipp, Ilona, et al.. (2022). Investigating the Anatomy and Microstructure of the Dentato-rubro-thalamic and Subthalamo-ponto-cerebellar Tracts in Parkinson's Disease. Frontiers in Neurology. 13. 793693–793693. 3 indexed citations
11.
12.
Lipp, Ilona, Catherine Foster, Rachael Stickland, et al.. (2020). Predictors of training-related improvement in visuomotor performance in patients with multiple sclerosis: A behavioural and MRI study. Multiple Sclerosis Journal. 27(7). 1088–1101. 8 indexed citations
13.
Lipp, Ilona, Derek K. Jones, Sonya Bells, et al.. (2019). Comparing MRI metrics to quantify white matter microstructural damage in multiple sclerosis. Human Brain Mapping. 40(10). 2917–2932. 36 indexed citations
14.
Lipp, Ilona, et al.. (2019). Tractography in the presence of multiple sclerosis lesions. NeuroImage. 209. 116471–116471. 33 indexed citations
15.
Golkov, Vladimir, Ilona Lipp, Eleonora Sgarlata, et al.. (2019). Negative-Unlabeled Learning for Diffusion MRI. 1 indexed citations
16.
Golkov, Vladimir, Ilona Lipp, Eleonora Sgarlata, et al.. (2018). q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis. 1 indexed citations
17.
Lipp, Ilona, et al.. (2015). The Relationship between Fearfulness, GABA+, and Fear-Related BOLD Responses in the Insula. PLoS ONE. 10(3). e0120101–e0120101. 13 indexed citations
18.
Lipp, Ilona, Kevin Murphy, Xavier Caseras, & Richard G. Wise. (2015). Agreement and repeatability of vascular reactivity estimates based on a breath-hold task and a resting state scan. NeuroImage. 113. 387–396. 57 indexed citations
19.
Lipp, Ilona & Valentina Tomassini. (2015). Neuroplasticity and Motor Rehabilitation in Multiple Sclerosis. Frontiers in Neurology. 6. 59–59. 27 indexed citations
20.
Lipp, Ilona, Kevin Murphy, Richard G. Wise, & Xavier Caseras. (2013). Understanding the contribution of neural and physiological signal variation to the low repeatability of emotion-induced BOLD responses. NeuroImage. 86. 335–342. 35 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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