Csaba Orbán

5.1k total citations · 4 hit papers
30 papers, 2.1k citations indexed

About

Csaba Orbán is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Csaba Orbán has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Csaba Orbán's work include Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (12 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Csaba Orbán is often cited by papers focused on Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (12 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Csaba Orbán collaborates with scholars based in United Kingdom, Singapore and United States. Csaba Orbán's co-authors include B.T. Thomas Yeo, Ru Kong, Jingwei Li, Avram J. Holmes, Mert R. Sabuncu, Nanbo Sun, Raphaël Liégeois, Tian Ge, Simon B. Eickhoff and Xi‐Nian Zuo and has published in prestigious journals such as Nature Communications, NeuroImage and Current Biology.

In The Last Decade

Csaba Orbán

29 papers receiving 2.1k 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.

Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion

2018 367 citations Ru Kong, Jingwei Li et al. Cerebral Cortex profile →
Increased Global Functional Connectivity Correlates with LSD-Induced Ego Dissolution

2016 315 citations Enzo Tagliazucchi, Leor Roseman et al. Current Biology profile →
Global signal regression strengthens association between resting-state functional connectivity and behavior

2019 242 citations Jingwei Li, Ru Kong et al. NeuroImage profile →
Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study

2022 108 citations Jianzhong Chen, Angela Tam et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Csaba Orbán United Kingdom	16	1.5k	576	476	424	366	30	2.1k
Jie Lisa Ji United States	18	1.3k 0.8×	409 0.7×	430 0.9×	233 0.5×	449 1.2×	27	1.9k
Neil K. Savalia United States	10	928 0.6×	319 0.6×	392 0.8×	186 0.4×	319 0.9×	14	1.5k
Joana Cabral United Kingdom	27	3.0k 2.0×	880 1.5×	277 0.6×	428 1.0×	484 1.3×	68	3.6k
Joshua B. Burt United States	7	765 0.5×	297 0.5×	376 0.8×	103 0.2×	354 1.0×	8	1.2k
Beata R. Godlewska United Kingdom	25	610 0.4×	217 0.4×	218 0.5×	389 0.9×	377 1.0×	66	1.8k
Peter Stiers Netherlands	30	1.0k 0.7×	378 0.7×	532 1.1×	176 0.4×	296 0.8×	66	2.3k
Marcus Herdener Switzerland	23	866 0.6×	112 0.2×	452 0.9×	343 0.8×	444 1.2×	71	1.8k
Luciano Minuzzi Canada	26	1.3k 0.8×	405 0.7×	298 0.6×	512 1.2×	448 1.2×	96	2.5k
Matthew M. Nour United Kingdom	20	633 0.4×	175 0.3×	868 1.8×	193 0.5×	667 1.8×	57	2.2k
Robert J. Thoma United States	33	1.7k 1.1×	387 0.7×	253 0.5×	354 0.8×	331 0.9×	63	2.7k

Countries citing papers authored by Csaba Orbán

Since Specialization

Citations

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

Fields of papers citing papers by Csaba Orbán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Orbán

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Orbán. A scholar is included among the top collaborators of Csaba Orbán 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 Csaba Orbán. Csaba Orbán 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:

20 of 20 papers shown

Juttukonda, Meher R., Shiyu Wang, Csaba Orbán, et al.. (2025). Functional MRI signatures of autonomic physiology in aging. Communications Biology. 8(1). 1287–1287.

An, Lijun, Csaba Orbán, Christopher Chen, et al.. (2025). Cross‐Dataset Evaluation of Dementia Longitudinal Progression Prediction Models. Human Brain Mapping. 46(11). e70280–e70280. 4 indexed citations

Kong, Ru, Aihuiping Xue, Qing Yang, et al.. (2023). Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. NeuroImage. 273. 120010–120010. 34 indexed citations

Chen, Jianzhong, Angela Tam, Valeria Kebets, et al.. (2022). Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study. Nature Communications. 13(1). 2217–2217. 108 indexed citations breakdown →

Fonville, Leon, John McGonigle, Rebecca Elliott, et al.. (2022). Selective D3 receptor antagonism modulates neural response during negative emotional processing in substance dependence. Frontiers in Psychiatry. 13. 998844–998844. 4 indexed citations

Fonville, Leon, John McGonigle, Rebecca Elliott, et al.. (2022). Alterations in white matter microstructure in alcohol and alcohol‐polydrug dependence: Associations with lifetime alcohol and nicotine exposure. Addiction Biology. 27(5). 2 indexed citations

McGonigle, John, Rebecca Elliott, Karen D. Ersche, et al.. (2022). P38. The Relationship Between Reward and Impulsivity in Substance Dependence: An fMRI Study. Biological Psychiatry. 91(9). S103–S103. 1 indexed citations

Kong, Xiaolu, Ru Kong, Csaba Orbán, et al.. (2021). Sensory-motor cortices shape functional connectivity dynamics in the human brain. Nature Communications. 12(1). 6373–6373. 66 indexed citations

Orbán, Csaba, et al.. (2021). ThomasYeoLab: Sensory-Motor Cortices Shape Functional Connectivity Dynamics in the Human Brain. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

10.

Kong, Ru, Qing Yang, Evan M. Gordon, et al.. (2021). Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior. Cerebral Cortex. 31(10). 4477–4500. 123 indexed citations

11.

Orbán, Csaba, Ru Kong, Jingwei Li, Michael W.L. Chee, & B.T. Thomas Yeo. (2020). Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity. PLoS Biology. 18(2). e3000602–e3000602. 72 indexed citations

12.

Nestor, Liam J., John Suckling, Karen D. Ersche, et al.. (2020). Disturbances across whole brain networks during reward anticipation in an abstinent addiction population. NeuroImage Clinical. 27. 102297–102297. 12 indexed citations

13.

Li, Jingwei, Ru Kong, Raphaël Liégeois, et al.. (2019). Global signal regression strengthens association between resting-state functional connectivity and behavior. NeuroImage. 196. 126–141. 242 indexed citations breakdown →

14.

Kebets, Valeria, Avram J. Holmes, Csaba Orbán, et al.. (2019). Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology. Biological Psychiatry. 86(10). 779–791. 152 indexed citations

15.

Nestor, Liam J., Louise M. Paterson, Anna Murphy, et al.. (2018). Naltrexone differentially modulates the neural correlates of motor impulse control in abstinent alcohol‐dependent and polysubstance‐dependent individuals. European Journal of Neuroscience. 50(3). 2311–2321. 13 indexed citations

16.

Murphy, Anna, Liam J. Nestor, John McGonigle, et al.. (2017). Acute D3 Antagonist GSK598809 Selectively Enhances Neural Response During Monetary Reward Anticipation in Drug and Alcohol Dependence. Neuropsychopharmacology. 42(5). 1049–1057. 30 indexed citations

17.

Nestor, Liam J., Anna Murphy, John McGonigle, et al.. (2016). Acute naltrexone does not remediate fronto‐striatal disturbances in alcoholic and alcoholic polysubstance‐dependent populations during a monetary incentive delay task. Addiction Biology. 22(6). 1576–1589. 29 indexed citations

18.

Tagliazucchi, Enzo, Leor Roseman, Mendel Kaelen, et al.. (2016). Increased Global Functional Connectivity Correlates with LSD-Induced Ego Dissolution. Current Biology. 26(8). 1043–1050. 315 indexed citations breakdown →

19.

Taylor, Eleanor, Anna Murphy, Karen D. Ersche, et al.. (2016). Impulsivity in abstinent alcohol and polydrug dependence: a multidimensional approach. Psychopharmacology. 233(8). 1487–1499. 23 indexed citations

20.

Kaelen, Mendel, Leor Roseman, Joshua Kahan, et al.. (2016). LSD modulates music-induced imagery via changes in parahippocampal connectivity. European Neuropsychopharmacology. 26(7). 1099–1109. 89 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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