Yongbin Wei

1.2k total citations
27 papers, 624 citations indexed

About

Yongbin Wei is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Yongbin Wei has authored 27 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Molecular Biology. Recurrent topics in Yongbin Wei's work include Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Bioinformatics and Genomic Networks (6 papers). Yongbin Wei is often cited by papers focused on Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Bioinformatics and Genomic Networks (6 papers). Yongbin Wei collaborates with scholars based in Netherlands, China and United States. Yongbin Wei's co-authors include Martijn P. van den Heuvel, Lianne H. Scholtens, Siemon C. de Lange, Daniëlle Posthuma, Kyoko Watanabe, Dirk Jan Ardesch, Jeanne E. Savage, Philip R. Jansen, Ali Reza Montazemi and Hamed Qahri‐Saremi and has published in prestigious journals such as Nature Communications, NeuroImage and Biological Psychiatry.

In The Last Decade

Yongbin Wei

25 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongbin Wei Netherlands 14 334 200 118 70 64 27 624
Brad Zoltick United States 9 368 1.1× 77 0.4× 127 1.1× 185 2.6× 66 1.0× 10 670
Jennifer L. Bruno United States 17 462 1.4× 112 0.6× 144 1.2× 137 2.0× 203 3.2× 47 907
Erhan Genç Germany 21 890 2.7× 315 1.6× 58 0.5× 81 1.2× 59 0.9× 60 1.3k
Bing Hou China 12 155 0.5× 74 0.4× 72 0.6× 46 0.7× 31 0.5× 19 409
John Van Horn United States 8 523 1.6× 127 0.6× 40 0.3× 106 1.5× 17 0.3× 11 723
Stefanie Beck Germany 10 414 1.2× 70 0.3× 250 2.1× 74 1.1× 52 0.8× 16 924
Vadim Ushakov Russia 12 244 0.7× 73 0.4× 31 0.3× 43 0.6× 9 0.1× 94 522
Bo Xiang China 15 86 0.3× 38 0.2× 107 0.9× 69 1.0× 80 1.3× 52 487
Eszter Somogyi France 13 293 0.9× 43 0.2× 71 0.6× 72 1.0× 108 1.7× 37 620

Countries citing papers authored by Yongbin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yongbin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongbin Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Yongbin Wei. A scholar is included among the top collaborators of Yongbin Wei 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 Yongbin Wei. Yongbin Wei 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.
Liu, Qingyuan, Yongbin Wei, Dongxu Liu, et al.. (2025). Harmonizing network-based statistics across different atlases in brain connectome analysis. Communications Biology. 8(1). 943–943. 1 indexed citations
3.
Wang, Dawei, Zhuangzhuang Li, Kun Zhao, et al.. (2024). Macroscale Gradient Dysfunction in Alzheimer's Disease: Patterns With Cognition Terms and Gene Expression Profiles. Human Brain Mapping. 45(15). e70046–e70046. 3 indexed citations
4.
Cui, Long‐Biao, Yahong Zhang, Kun Chen, et al.. (2024). Associated transcriptional, brain and clinical variations in schizophrenia. Nature Mental Health. 2(10). 1239–1249.
5.
Wang, Mengya, Yahong Zhang, Kun Zhao, et al.. (2024). Transcriptomic and neuroimaging data integration enhances machine learning classification of schizophrenia. PubMed. 4. kkae005–kkae005. 5 indexed citations
6.
Tissink, Elleke, Josefin Werme, Siemon C. de Lange, et al.. (2023). The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks. eNeuro. 10(4). ENEURO.0242–22.2023. 9 indexed citations
7.
Ding, Yanhui, Yongbin Wei, Martin Dyrba, et al.. (2023). Morphological connectivity differences in Alzheimer's disease correlate with gene transcription and cell‐type. Human Brain Mapping. 44(18). 6364–6374. 13 indexed citations
8.
Cui, Long‐Biao, Yu‐Fei Fu, Xiaofan Liu, et al.. (2023). Transcriptional level of inflammation markers associates with short-term brain structural changes in first-episode schizophrenia. BMC Medicine. 21(1). 250–250. 14 indexed citations
9.
Wu, Jiangping, Kun Zhao, Zhuangzhuang Li, et al.. (2022). A systematic analysis of diagnostic performance for Alzheimer's disease using structural MRI. PubMed. 2(1). 1–9. 5 indexed citations
10.
Wei, Yongbin, Han Zhang, & Yong Liu. (2022). Charting Normative Brain Variability Across the Human Lifespan. Neuroscience Bulletin. 39(2). 362–364. 3 indexed citations
11.
Wei, Yongbin, Jinbo Zhang, Junji Ma, et al.. (2021). Gene expression associated with individual variability in intrinsic functional connectivity. NeuroImage. 245. 118743–118743. 10 indexed citations
12.
Scholtens, Lianne H., et al.. (2021). Myelo- and cytoarchitectonic microstructural and functional human cortical atlases reconstructed in common MRI space. NeuroImage. 239. 118274–118274. 37 indexed citations
13.
Wei, Yongbin, Siemon C. de Lange, Lianne H. Scholtens, et al.. (2021). Statistical testing in transcriptomic‐neuroimaging studies: A how‐to and evaluation of methods assessing spatial and gene specificity. Human Brain Mapping. 43(3). 885–901. 24 indexed citations
14.
Jansen, Philip R., Mats Nagel, Kyoko Watanabe, et al.. (2020). Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence. Nature Communications. 11(1). 5606–5606. 77 indexed citations
15.
Wei, Yongbin, et al.. (2020). The hourglass organization of the Caenorhabditis elegans connectome. PLoS Computational Biology. 16(2). e1007526–e1007526. 16 indexed citations
16.
Scholtens, Lianne H., et al.. (2019). Topography Impacts Topology: Anatomically Central Areas Exhibit a “High-Level Connector” Profile in the Human Cortex. Cerebral Cortex. 30(3). 1357–1365. 19 indexed citations
17.
Cui, Long‐Biao, Yongbin Wei, Alessandra Griffa, et al.. (2019). Connectome-Based Patterns of First-Episode Medication-Naïve Patients With Schizophrenia. Schizophrenia Bulletin. 45(6). 1291–1299. 45 indexed citations
18.
Wei, Yongbin, Siemon C. de Lange, Lianne H. Scholtens, et al.. (2019). Genetic mapping and evolutionary analysis of human-expanded cognitive networks. Nature Communications. 10(1). 4839–4839. 94 indexed citations
19.
Wei, Yongbin, Guusje Collin, René C.W. Mandl, et al.. (2017). Cortical magnetization transfer abnormalities and connectome dysconnectivity in schizophrenia. Schizophrenia Research. 192. 172–178. 21 indexed citations
20.
Han, Ying, Yongbin Wei, Mingrui Xia, et al.. (2016). Regional homogeneity changes in amnestic mild cognitive impairment patients. Neuroscience Letters. 629. 1–8. 38 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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