Benjamin Klugah‐Brown

1.1k total citations
46 papers, 648 citations indexed

About

Benjamin Klugah‐Brown is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Benjamin Klugah‐Brown has authored 46 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Psychiatry and Mental health. Recurrent topics in Benjamin Klugah‐Brown's work include Functional Brain Connectivity Studies (27 papers), Advanced MRI Techniques and Applications (10 papers) and Neural dynamics and brain function (8 papers). Benjamin Klugah‐Brown is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Advanced MRI Techniques and Applications (10 papers) and Neural dynamics and brain function (8 papers). Benjamin Klugah‐Brown collaborates with scholars based in China, United States and Germany. Benjamin Klugah‐Brown's co-authors include Bharat B. Biswal, Benjamin Becker, Cheng Luo, Dezhong Yao, Jana Zweerings, Klaus Mathiak, Hui He, Xuebin Chang, Sisi Jiang and Xinqi Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Benjamin Klugah‐Brown

36 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Klugah‐Brown China 15 431 188 167 122 60 46 648
Gabriëlla A.M. Blokland United States 15 482 1.1× 218 1.2× 118 0.7× 214 1.8× 34 0.6× 28 788
Eva Mennigen United States 15 417 1.0× 147 0.8× 112 0.7× 145 1.2× 73 1.2× 27 624
Tanja S. Kellermann United States 15 508 1.2× 95 0.5× 270 1.6× 177 1.5× 41 0.7× 25 799
Athanasia M. Mowinckel Norway 13 515 1.2× 161 0.9× 271 1.6× 99 0.8× 34 0.6× 26 756
Fei Xin China 12 384 0.9× 105 0.6× 64 0.4× 196 1.6× 60 1.0× 23 567
Johann Kruschwitz Germany 14 378 0.9× 115 0.6× 107 0.6× 208 1.7× 28 0.5× 19 551
Martin Fungisai Gerchen Germany 16 433 1.0× 83 0.4× 81 0.5× 133 1.1× 109 1.8× 37 652
Maurício H. Serpa Brazil 16 318 0.7× 119 0.6× 331 2.0× 98 0.8× 101 1.7× 45 701
Lorena Chanes United States 13 773 1.8× 86 0.5× 192 1.1× 200 1.6× 49 0.8× 20 1.0k
Delong Zhang China 18 451 1.0× 117 0.6× 65 0.4× 149 1.2× 21 0.3× 53 711

Countries citing papers authored by Benjamin Klugah‐Brown

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Klugah‐Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Klugah‐Brown. 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 Benjamin Klugah‐Brown. The network helps show where Benjamin Klugah‐Brown may publish in the future.

Co-authorship network of co-authors of Benjamin Klugah‐Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Klugah‐Brown. A scholar is included among the top collaborators of Benjamin Klugah‐Brown 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 Benjamin Klugah‐Brown. Benjamin Klugah‐Brown 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
2.
Xu, Lei, et al.. (2025). The pharmacodynamic modulation effect of oxytocin on resting state functional connectivity network topology. Frontiers in Pharmacology. 15. 1460513–1460513. 2 indexed citations
4.
Yu, Yuanyuan, Hui He, Yayun Liu, et al.. (2025). Shared and distinct patterns of cortical morphometric inverse divergence and their association with empathy in dancers and musicians. Scientific Reports. 15(1). 28572–28572.
5.
Kendrick, Keith M., et al.. (2024). Common and separable neural alterations in adult and adolescent depression – Evidence from neuroimaging meta-analyses. Neuroscience & Biobehavioral Reviews. 164. 105835–105835. 11 indexed citations
6.
Yang, Zhenzhen, et al.. (2024). Brain structural differences in cocaine use disorder: Insights from multivariate and neurotransmitter analyses. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 136. 111159–111159.
7.
Li, Yilu, Benjamin Klugah‐Brown, George P. Hanna, et al.. (2024). Topological functional network analysis of cortical blood flow in hyperacute ischemic rats. Brain Structure and Function. 230(1). 20–20.
8.
Liu, Xiqin, et al.. (2024). Assessment of Hyperacute Cerebral Ischemia Using Laser Speckle Contrast Imaging. Brain Connectivity. 14(9). 459–470.
9.
Yang, Zhenzhen, et al.. (2024). MQGA: A quantitative analysis of brain network hubs using multi-graph theoretical indices. NeuroImage. 303. 120913–120913.
10.
Liu, Xiqin, Lan Wang, Ting Xu, et al.. (2023). Distinct neurofunctional alterations during motivational and hedonic processing of natural and monetary rewards in depression – a neuroimaging meta-analysis. Psychological Medicine. 54(4). 639–651. 10 indexed citations
11.
Wang, Pan, Yuan Jiang, Matthew J. Hoptman, et al.. (2023). Structural-functional connectivity deficits of callosal-white matter-cortical circuits in schizophrenia. Psychiatry Research. 330. 115559–115559. 1 indexed citations
12.
Klugah‐Brown, Benjamin, et al.. (2023). Gender Differences in Dynamic Functional Network Connectivity in Pediatric and Adult Patients with Attention-Deficit/Hyperactivity Disorder. Brain Connectivity. 13(4). 226–236. 2 indexed citations
14.
Klugah‐Brown, Benjamin, et al.. (2023). Structural and functional network analysis of twins using fMRI data. Cerebral Cortex. 33(22). 11060–11069.
15.
Klugah‐Brown, Benjamin, Pan Wang, Yuan Jiang, et al.. (2022). Structural–functional connectivity mapping of the insular cortex: a combined data-driven and meta-analytic topic mapping. Cerebral Cortex. 33(5). 1726–1738. 7 indexed citations
16.
Ferraro, Stefania, Benjamin Klugah‐Brown, Christopher R. Tench, et al.. (2022). The central autonomic system revisited – Convergent evidence for a regulatory role of the insular and midcingulate cortex from neuroimaging meta-analyses. Neuroscience & Biobehavioral Reviews. 142. 104915–104915. 38 indexed citations
17.
Klugah‐Brown, Benjamin, Xinqi Zhou, Basant Pradhan, et al.. (2021). Common neurofunctional dysregulations characterize obsessive–compulsive, substance use, and gaming disorders—An activation likelihood meta‐analysis of functional imaging studies. Addiction Biology. 26(4). e12997–e12997. 36 indexed citations
18.
19.
Dong, Li, Pu Wang, Rui Peng, et al.. (2016). Altered basal ganglia-cortical functional connections in frontal lobe epilepsy: A resting-state fMRI study. Epilepsy Research. 128. 12–20. 22 indexed citations
20.
Chen, Xi, Mingjun Duan, Hui He, et al.. (2016). Functional abnormalities of the right posterior insula are related to the altered self-experience in schizophrenia. Psychiatry Research Neuroimaging. 256. 26–32. 32 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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