Franz-Xaver Neubert

2.7k total citations · 1 hit paper
14 papers, 1.9k citations indexed

About

Franz-Xaver Neubert is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Franz-Xaver Neubert has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Neurology. Recurrent topics in Franz-Xaver Neubert's work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Franz-Xaver Neubert is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Franz-Xaver Neubert collaborates with scholars based in United Kingdom, Netherlands and United States. Franz-Xaver Neubert's co-authors include Rogier B. Mars, Matthew F. S. Rushworth, Jérôme Sallet, MaryAnn P. Noonan, Ivan Toni, Ethan R. Buch, Etienne Olivier, Adam G. Thomas, Lennart Verhagen and Miriam C. Klein-Flügge and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Franz-Xaver Neubert

14 papers receiving 1.9k 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.

On the relationship between the “default mode network” and the “social brain”

2012 563 citations Rogier B. Mars, Franz-Xaver Neubert et al. Frontiers in Human Neuroscience profile →

Peers

Franz-Xaver Neubert

RNMI

NEURO

ECP

T. Paus Canada

Ronald Sladky Austria

Ido Tavor Israel

Céline Amiez France

Simone Vossel Germany

Juha Salmi Finland

Claire Wardak France

Paula L. Croxson United States

Johannes Stelzer Germany

Frédérique Kouneiher France

T. Paus Canada

Franz-Xaver Neubert

1.4k ×0.8

272 ×0.7

RNMI

120 ×0.3

157 ×0.6

NEURO

170 ×0.7

ECP

Citations per year, relative to Franz-Xaver Neubert Franz-Xaver Neubert (= 1×) peers T. Paus

Countries citing papers authored by Franz-Xaver Neubert

Since Specialization

Citations

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

Fields of papers citing papers by Franz-Xaver Neubert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franz-Xaver Neubert. 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 Franz-Xaver Neubert. The network helps show where Franz-Xaver Neubert may publish in the future.

Co-authorship network of co-authors of Franz-Xaver Neubert

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Schüffelgen, Urs, Franz-Xaver Neubert, Alessandro Bongioanni, et al.. (2020). Multiple systems in macaques for tracking prediction errors and other types of surprise. PLoS Biology. 18(10). e3000899–e3000899. 8 indexed citations

Mars, Rogier B., Lennart Verhagen, Thomas E. Gladwin, et al.. (2015). Comparing brains by matching connectivity profiles. Neuroscience & Biobehavioral Reviews. 60. 90–97. 83 indexed citations

Mars, Rogier B., Sean Foxley, Lennart Verhagen, et al.. (2015). The extreme capsule fiber complex in humans and macaque monkeys: a comparative diffusion MRI tractography study. Brain Structure and Function. 221(8). 4059–4071. 71 indexed citations

Neubert, Franz-Xaver, Ethan R. Buch, Lennart Verhagen, et al.. (2015). Causal manipulation of functional connectivity in a specific neural pathway during behaviour and at rest. eLife. 4. 60 indexed citations

Neubert, Franz-Xaver, Rogier B. Mars, Jérôme Sallet, & Matthew F. S. Rushworth. (2015). Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex. Proceedings of the National Academy of Sciences. 112(20). E2695–704. 273 indexed citations

Neubert, Franz-Xaver, Rogier B. Mars, Adam G. Thomas, Jérôme Sallet, & Matthew F. S. Rushworth. (2014). Comparison of Human Ventral Frontal Cortex Areas for Cognitive Control and Language with Areas in Monkey Frontal Cortex. Neuron. 81(3). 700–713. 291 indexed citations

Mars, Rogier B., Franz-Xaver Neubert, Lennart Verhagen, et al.. (2014). Primate comparative neuroscience using magnetic resonance imaging: promises and challenges. Frontiers in Neuroscience. 8. 298–298. 40 indexed citations

Neubert, Franz-Xaver, et al.. (2013). Paired-pulse transcranial magnetic stimulation reveals probability-dependent changes in functional connectivity between right inferior frontal cortex and primary motor cortex during go/no-go performance. Frontiers in Human Neuroscience. 7. 736–736. 11 indexed citations

Mars, Rogier B., Jérôme Sallet, Franz-Xaver Neubert, & Matthew F. S. Rushworth. (2013). Connectivity profiles reveal the relationship between brain areas for social cognition in human and monkey temporoparietal cortex. Proceedings of the National Academy of Sciences. 110(26). 10806–10811. 122 indexed citations

10.

Mars, Rogier B., Franz-Xaver Neubert, MaryAnn P. Noonan, et al.. (2012). On the relationship between the “default mode network” and the “social brain”. Frontiers in Human Neuroscience. 6. 189–189. 563 indexed citations breakdown →

11.

Neubert, Franz-Xaver, Rogier B. Mars, Etienne Olivier, & Matthew F. S. Rushworth. (2011). Modulation of short intra-cortical inhibition during action reprogramming. Experimental Brain Research. 211(2). 265–276. 23 indexed citations

12.

Neubert, Franz-Xaver & Miriam C. Klein-Flügge. (2010). What Is Driving Inhibition-Related Activity in the Frontal Lobe?. Journal of Neuroscience. 30(14). 4830–4832. 8 indexed citations

13.

Neubert, Franz-Xaver, Rogier B. Mars, Ethan R. Buch, Etienne Olivier, & Matthew F. S. Rushworth. (2010). Cortical and subcortical interactions during action reprogramming and their related white matter pathways. Proceedings of the National Academy of Sciences. 107(30). 13240–13245. 217 indexed citations

14.

Mars, Rogier B., Miriam C. Klein-Flügge, Franz-Xaver Neubert, et al.. (2009). Short-Latency Influence of Medial Frontal Cortex on Primary Motor Cortex during Action Selection under Conflict. Journal of Neuroscience. 29(21). 6926–6931. 140 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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