Debo Dong

2.0k total citations · 1 hit paper
58 papers, 1.3k citations indexed

About

Debo Dong is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Debo Dong has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 19 papers in Experimental and Cognitive Psychology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Debo Dong's work include Functional Brain Connectivity Studies (36 papers), Neural dynamics and brain function (14 papers) and Neural and Behavioral Psychology Studies (13 papers). Debo Dong is often cited by papers focused on Functional Brain Connectivity Studies (36 papers), Neural dynamics and brain function (14 papers) and Neural and Behavioral Psychology Studies (13 papers). Debo Dong collaborates with scholars based in China, Germany and Belgium. Debo Dong's co-authors include Dezhong Yao, Cheng Luo, Xuebin Chang, Yulin Wang, Hong Chen, Mingjun Duan, Todd Jackson, Simon B. Eickhoff, Xiaoyan Jia and Fei Xin and has published in prestigious journals such as Nature Communications, NeuroImage and Neuroscience.

In The Last Decade

Debo Dong

52 papers receiving 1.3k citations

Hit Papers

Dysfunction of Large-Scale Brain Networks in Schizophreni... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debo Dong China 20 946 421 329 247 160 58 1.3k
Yawei Zeng China 21 1.1k 1.2× 292 0.7× 303 0.9× 535 2.2× 133 0.8× 45 1.7k
Xiaochen Hu Germany 19 697 0.7× 219 0.5× 237 0.7× 376 1.5× 182 1.1× 35 1.1k
Stefania Benetti Italy 20 999 1.1× 440 1.0× 342 1.0× 366 1.5× 129 0.8× 33 1.6k
Erin W. Dickie Canada 20 693 0.7× 246 0.6× 243 0.7× 251 1.0× 217 1.4× 52 1.2k
Yevgeniya V. Zaiko United States 7 699 0.7× 171 0.4× 350 1.1× 313 1.3× 301 1.9× 7 1.2k
Dirk Schwerthöffer Germany 10 949 1.0× 329 0.8× 382 1.2× 233 0.9× 99 0.6× 26 1.1k
Julia M. Sheffield United States 19 917 1.0× 326 0.8× 357 1.1× 712 2.9× 273 1.7× 49 1.6k
Huawang Wu China 18 641 0.7× 279 0.7× 240 0.7× 182 0.7× 122 0.8× 54 977
Remko van Lutterveld Netherlands 22 1.0k 1.1× 175 0.4× 247 0.8× 412 1.7× 331 2.1× 40 1.5k

Countries citing papers authored by Debo Dong

Since Specialization
Citations

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

Fields of papers citing papers by Debo Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debo Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Debo Dong. A scholar is included among the top collaborators of Debo Dong 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 Debo Dong. Debo Dong 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.
Jiang, Lin, Sarah Genon, Jiayu Ye, et al.. (2025). Gene transcription, neurotransmitter, and neurocognition signatures of brain structural-functional coupling variability. Nature Communications. 16(1). 7623–7623.
2.
Li, Fali, Sarah Genon, Simon B. Eickhoff, et al.. (2025). Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder. Science Advances. 11(46). eadz0389–eadz0389.
3.
Chang, Xuebin, et al.. (2025). Multi-center brain age prediction via dual-modality fusion convolutional network. Medical Image Analysis. 101. 103455–103455. 1 indexed citations
4.
Zhang, Ran, Xiang Xiao, Debo Dong, et al.. (2025). Abnormal ventromedial-to-dorsolateral hierarchical topography of striatal circuits in cocaine use disorder and its modulations by brain stimulation. Neuropsychopharmacology. 50(9). 1354–1363.
5.
6.
Jiang, Lin, Simon B. Eickhoff, Sarah Genon, et al.. (2024). Multimodal Covariance Network Reflects Individual Cognitive Flexibility. International Journal of Neural Systems. 34(4). 2450018–2450018. 6 indexed citations
7.
Tian, Yun, Zhiliang Long, Debo Dong, et al.. (2024). Volume of the Dentate Gyrus/CA4 Hippocampal subfield mediates the interplay between sleep quality and depressive symptoms. International Journal of Clinical and Health Psychology. 24(1). 100432–100432. 10 indexed citations
8.
Tian, Yun, Michael V. Vitiello, Debo Dong, et al.. (2023). Risk of insomnia during COVID-19: effects of depression and brain functional connectivity. Cerebral Cortex. 33(11). 7015–7025. 6 indexed citations
9.
Jiang, Lin, Sarah Genon, Qingqing Yang, et al.. (2023). Spatial–rhythmic network as a biomarker of familial risk for psychotic bipolar disorder. Nature Mental Health. 1(11). 887–899. 15 indexed citations
10.
Wang, Jijun, Debo Dong, Yong Liu, et al.. (2023). Multivariate resting-state functional connectomes predict and characterize obesity phenotypes. Cerebral Cortex. 33(13). 8368–8381. 6 indexed citations
11.
Li, Fali, Lin Jiang, Dezhong Yao, et al.. (2023). Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning. Brain Research Bulletin. 202. 110744–110744. 3 indexed citations
12.
Guo, Yiqun, et al.. (2023). The intracortical myelin content of impulsive choices: results from T1- and T2-weighted MRI myelin mapping. Cerebral Cortex. 33(11). 7163–7174. 1 indexed citations
13.
Jiang, Sisi, Debo Dong, Chuan He, et al.. (2022). Vascular feature as a modulator of the aging brain. Cerebral Cortex. 32(24). 5609–5621. 7 indexed citations
14.
Jia, Xiaoyan, Xuebin Chang, Lijun Bai, et al.. (2021). A Longitudinal Study of White Matter Functional Network in Mild Traumatic Brain Injury. Journal of Neurotrauma. 38(19). 2686–2697. 20 indexed citations
15.
Dong, Debo, Dezhong Yao, Yulin Wang, et al.. (2021). Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia. Psychological Medicine. 53(3). 771–784. 80 indexed citations
16.
Jia, Xiaoyan, Yan Xie, Debo Dong, et al.. (2019). Reconfiguration of dynamic large‐scale brain network functional connectivity in generalized tonic–clonic seizures. Human Brain Mapping. 41(1). 67–79. 26 indexed citations
17.
Xin, Fei, Feng Zhou, Xinqi Zhou, et al.. (2018). Oxytocin Modulates the Intrinsic Dynamics Between Attention-Related Large-Scale Networks. Cerebral Cortex. 31(3). 1848–1860. 27 indexed citations
18.
Jia, Xiaoyan, Shuai Ma, Sisi Jiang, et al.. (2018). Disrupted Coupling Between the Spontaneous Fluctuation and Functional Connectivity in Idiopathic Generalized Epilepsy. Frontiers in Neurology. 9. 838–838. 20 indexed citations
19.
Dong, Debo, Yulin Wang, Xiaoyan Jia, et al.. (2017). Abnormal brain activation during threatening face processing in schizophrenia: A meta-analysis of functional neuroimaging studies. Schizophrenia Research. 197. 200–208. 34 indexed citations
20.
Wang, Yu, Debo Dong, Todd Jackson, et al.. (2016). Neural correlates of restrained eaters’ high susceptibility to food cues: An fMRI study. Neuroscience Letters. 631. 56–62. 27 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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