Pan Wang

2.4k total citations
67 papers, 1.5k citations indexed

About

Pan Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Pan Wang has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Cognitive Neuroscience and 16 papers in Psychiatry and Mental health. Recurrent topics in Pan Wang's work include Functional Brain Connectivity Studies (33 papers), Advanced Neuroimaging Techniques and Applications (21 papers) and Advanced MRI Techniques and Applications (13 papers). Pan Wang is often cited by papers focused on Functional Brain Connectivity Studies (33 papers), Advanced Neuroimaging Techniques and Applications (21 papers) and Advanced MRI Techniques and Applications (13 papers). Pan Wang collaborates with scholars based in China, United States and United Kingdom. Pan Wang's co-authors include Bo Zhou, Yong Liu, Zengqiang Zhang, Ningyu An, Luning Wang, Hongxiang Yao, Xi Zhang, Tianzi Jiang, Bharat B. Biswal and Haitao Dai and has published in prestigious journals such as NeuroImage, Scientific Reports and Chemical Physics Letters.

In The Last Decade

Pan Wang

61 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Wang China 22 882 622 353 135 127 67 1.5k
Jianfeng Qiu China 21 340 0.4× 566 0.9× 196 0.6× 55 0.4× 269 2.1× 120 1.5k
Huifang Wang China 21 867 1.0× 234 0.4× 174 0.5× 49 0.4× 57 0.4× 78 1.6k
Ricardo Guerrero United Kingdom 18 377 0.4× 331 0.5× 386 1.1× 134 1.0× 339 2.7× 40 1.7k
Zhengge Wang China 26 1.8k 2.1× 1.0k 1.6× 672 1.9× 77 0.6× 74 0.6× 47 2.5k
Yongxia Zhou United States 21 770 0.9× 638 1.0× 205 0.6× 131 1.0× 63 0.5× 54 1.8k
Liyu Huang China 20 501 0.6× 547 0.9× 212 0.6× 105 0.8× 265 2.1× 116 1.7k
Tengda Zhao China 20 788 0.9× 661 1.1× 125 0.4× 67 0.5× 98 0.8× 42 1.3k
Hyang Woon Lee South Korea 22 429 0.5× 118 0.2× 475 1.3× 131 1.0× 114 0.9× 92 1.5k
Jiehui Jiang China 19 311 0.4× 491 0.8× 289 0.8× 206 1.5× 199 1.6× 143 1.3k
Reinhard Grebe France 24 935 1.1× 589 0.9× 141 0.4× 143 1.1× 473 3.7× 93 1.9k

Countries citing papers authored by Pan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Wang. A scholar is included among the top collaborators of Pan Wang 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 Pan Wang. Pan Wang 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.
Zhang, Fanyu, et al.. (2025). White matter dysfunction in Alzheimer’s disease is associated with disease-related transcriptomic signatures. Communications Biology. 8(1). 820–820. 1 indexed citations
2.
Qi, Yifei, et al.. (2025). Temporal-spectral correlation dynamics of Raman random fiber laser. Science China Information Sciences. 68(4).
3.
Lu, Chenfei, et al.. (2024). Multiplex Approach of Metabolomic and Transcriptomic Reveals the Biosynthetic Mechanism of Light-induced Flavonoids and CGA in Chrysanthemum. Industrial Crops and Products. 221. 119420–119420. 7 indexed citations
4.
Guo, Rui, Xue Li, Yuhong Jiang, et al.. (2024). Regulating SnZn defects and optimizing bandgap in the Cu2ZnSn(S,Se)4 absorption layer by Ge gradient doping for efficient kesterite solar cells. Ceramics International. 50(11). 18329–18336. 7 indexed citations
5.
Li, Yilu, et al.. (2024). Corticostriatal causality analysis in children and adolescents with attention‐deficit/hyperactivity disorder. Psychiatry and Clinical Neurosciences. 78(5). 291–299. 4 indexed citations
6.
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
7.
Li, Yilu, et al.. (2024). Altered white matter functional pathways in Alzheimer’s disease. Cerebral Cortex. 34(3). 3 indexed citations
8.
Hu, Xianwen, Hongyu Hu, Dandan Li, Pan Wang, & Jiong Cai. (2024). Affibody-based molecular probe 99mTc-(HE)3ZHER2:V2 for non-invasive HER2 detection in ovarian and breast cancer xenografts. Open Medicine. 19(1). 20241027–20241027.
9.
Roy, Shubham, Pan Wang, Zhigang Li, et al.. (2024). Unveiling the future: Advancements in MRI imaging for neurodegenerative disorders. Ageing Research Reviews. 95. 102230–102230. 31 indexed citations
11.
He, Yunze, et al.. (2023). Temperature monitoring of vehicle brake drum based on dual light fusion and deep learning. Infrared Physics & Technology. 133. 104823–104823. 9 indexed citations
12.
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
13.
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
14.
Wang, Pan, Jianlin Wang, Yuan Jiang, et al.. (2022). Cerebro-cerebellar Dysconnectivity in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder. Journal of the American Academy of Child & Adolescent Psychiatry. 61(11). 1372–1384. 15 indexed citations
16.
Shu, Ni, Xi Zhang, Cui Zhao, et al.. (2021). Abnormal characterization of dynamic functional connectivity in Alzheimer’s disease. Neural Regeneration Research. 17(9). 2014–2014. 43 indexed citations
17.
Yao, Hongxiang, Pan Lin, Zheng Liang, et al.. (2017). Frequency-Dependent Altered Functional Connections of Default Mode Network in Alzheimer’s Disease. Frontiers in Aging Neuroscience. 9. 259–259. 29 indexed citations
18.
Zhang, Zengqiang, Yong Liu, Bo Zhou, et al.. (2014). Altered Functional Connectivity of the Marginal Division in Alzheimer’s Disease. Current Alzheimer Research. 11(2). 145–155. 21 indexed citations
19.
Yao, Hongxiang, Yong Liu, Bo Zhou, et al.. (2013). Decreased functional connectivity of the amygdala in Alzheimer's disease revealed by resting-state fMRI. European Journal of Radiology. 82(9). 1531–1538. 72 indexed citations
20.
Wang, Pan, Xi Zhang, Bo Zhou, & Zengqiang Zhang. (2012). The application of Montreal cognitive assessment (Chinese version) in diagnosing and assessing cognitive changes of mild cognitive impairment. 12(2). 193–197. 1 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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