Laurentius Huber

3.3k total citations
93 papers, 1.7k citations indexed

About

Laurentius Huber is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Laurentius Huber has authored 93 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Radiology, Nuclear Medicine and Imaging, 60 papers in Cognitive Neuroscience and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Laurentius Huber's work include Advanced MRI Techniques and Applications (64 papers), Functional Brain Connectivity Studies (56 papers) and Advanced Neuroimaging Techniques and Applications (30 papers). Laurentius Huber is often cited by papers focused on Advanced MRI Techniques and Applications (64 papers), Functional Brain Connectivity Studies (56 papers) and Advanced Neuroimaging Techniques and Applications (30 papers). Laurentius Huber collaborates with scholars based in Netherlands, Germany and United States. Laurentius Huber's co-authors include Peter A. Bandettini, Dimo Ivanov, Benedikt A. Poser, Harald E. Möller, Kâmil Uludaǧ, María Guidi, David C. Jangraw, Emily S. Finn, Jozien Goense and Robert Turner and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Laurentius Huber

85 papers receiving 1.7k citations

Peers

Laurentius Huber
Natalia Petridou Netherlands
Andrew Peters United Kingdom
Dae-Shik Kim United States
Jeroen C.W. Siero Netherlands
Eric R. Cohen United States
Aviv Mezer Israel
Claire Stevenson United Kingdom
Natalia Petridou Netherlands
Laurentius Huber
Citations per year, relative to Laurentius Huber Laurentius Huber (= 1×) peers Natalia Petridou

Countries citing papers authored by Laurentius Huber

Since Specialization
Citations

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

Fields of papers citing papers by Laurentius Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurentius Huber

This figure shows the co-authorship network connecting the top 25 collaborators of Laurentius Huber. A scholar is included among the top collaborators of Laurentius Huber 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 Laurentius Huber. Laurentius Huber 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.
Huber, Laurentius, et al.. (2026). Whole-brain meso-vein imaging in living humans using fast 7-T MRI. Science Advances. 12(2). eaea4540–eaea4540.
2.
Stirnberg, Rüdiger, Laurentius Huber, Elia Formisano, et al.. (2025). Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T. Frontiers in Neuroscience. 19. 1537026–1537026.
3.
Gülban, Ömer Faruk, et al.. (2025). In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1. Brain Structure and Function. 230(3). 47–47.
4.
Stirnberg, Rüdiger, et al.. (2025). T1234 : A distortion‐matched structural scan solution to misregistration of high resolution fMRI data. Magnetic Resonance in Medicine. 94(2). 713–723. 1 indexed citations
5.
Huber, Laurentius, Ömer Faruk Gülban, Robert Trampel, et al.. (2024). Characterisation of laminar and vascular spatiotemporal dynamics of CBV and BOLD signals using VASO and ME-GRE at 7T in humans. Imaging Neuroscience. 2. 3 indexed citations
6.
Beckett, Alexander, et al.. (2024). Whole brain Layer-fMRI on the NexGen 7T scanner with high performance gradients and 64-channel receiver array.. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
7.
Scherl, Claudia, et al.. (2024). Rare Case of Tularemia With Preauricular Lymphadenopathy and Conjunctivitis in a 27-Year-Old Male Patient in Germany. Ear Nose & Throat Journal. 1569971390–1569971390. 1 indexed citations
8.
Wiggins, Christopher J., Ömer Faruk Gülban, Rainer Goebel, et al.. (2023). Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset. SHILAP Revista de lepidopterología. 3. 3 indexed citations
9.
Huber, Laurentius, et al.. (2023). Layer-fMRI VASO with short stimuli and event-related designs at 7 T. NeuroImage. 279. 120293–120293. 5 indexed citations
10.
Feinberg, David A., Salvatore Torrisi, Alexander Beckett, et al.. (2023). Sub-0.1 microliter CBV fMRI on the Next Generation 7T scanner. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
11.
Huber, Laurentius, Rüdiger Stirnberg, Philipp Ehses, et al.. (2023). Evaluating the capabilities and challenges of layer-fMRI VASO at 3T. SHILAP Revista de lepidopterología. 3. 5 indexed citations
12.
Ivanov, Dimo, Federico De Martino, Elia Formisano, et al.. (2023). Magnetic resonance imaging at 9.4 T: the Maastricht journey. Magnetic Resonance Materials in Physics Biology and Medicine. 36(2). 159–173. 7 indexed citations
13.
Bandettini, Peter A., Laurentius Huber, & Emily S. Finn. (2021). Challenges and opportunities of mesoscopic brain mapping with fMRI. Current Opinion in Behavioral Sciences. 40. 189–200. 17 indexed citations
14.
Yu, Yinghua, Laurentius Huber, Jiajia Yang, et al.. (2019). Layer-specific activation of sensory input and predictive feedback in the human primary somatosensory cortex. Science Advances. 5(5). eaav9053–eaav9053. 59 indexed citations
15.
Huber, Laurentius, Emily S. Finn, Daniel A. Handwerker, et al.. (2019). Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex. NeuroImage. 208. 116463–116463. 73 indexed citations
16.
Bright, Molly G., Erin L. Mazerolle, Olivia Sobczyk, et al.. (2017). Clinical mapping of cerebrovascular reactivity using MRI : a framework for reaching consensus. Journal of Cerebral Blood Flow & Metabolism. 37. 290–291. 1 indexed citations
17.
Huber, Laurentius, Daniel A. Handwerker, David C. Jangraw, et al.. (2017). High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1. Neuron. 96(6). 1253–1263.e7. 213 indexed citations
18.
Guidi, María, Laurentius Huber, Leonie Lampe, Claudine Gauthier, & Harald E. Möller. (2016). Lamina-dependent calibrated BOLD response in human primary motor cortex. NeuroImage. 141. 250–261. 47 indexed citations
19.
Mohammadi, Siawoosh, Martina F. Callaghan, Guillaume Flandin, et al.. (2015). Vascular autorescaling of fMRI (VasA fMRI) improves sensitivity of population studies: A pilot study. NeuroImage. 124(Pt A). 794–805. 26 indexed citations
20.
Ivanov, Dimo, Laurentius Huber, Elisabeth Roggenhofer, et al.. (2013). Using carbogen for calibrated fMRI at 7Tesla: Comparison of direct and modelled estimation of the M parameter. NeuroImage. 84. 605–614. 12 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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