Junhao Wen

2.6k total citations · 1 hit paper
30 papers, 883 citations indexed

About

Junhao Wen is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Junhao Wen has authored 30 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Cognitive Neuroscience. Recurrent topics in Junhao Wen's work include Genetic Associations and Epidemiology (9 papers), Dementia and Cognitive Impairment Research (7 papers) and Functional Brain Connectivity Studies (7 papers). Junhao Wen is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Dementia and Cognitive Impairment Research (7 papers) and Functional Brain Connectivity Studies (7 papers). Junhao Wen collaborates with scholars based in United States, France and Australia. Junhao Wen's co-authors include Stanley Durrleman, Olivier Colliot, Simona Bottani, Alexandre Routier, Ninon Burgos, Jorge Samper‐Gonzàlez, Elina Thibeau–Sutre, Didier Dormont, Christos Davatzikos and Anne Bertrand and has published in prestigious journals such as Nature Medicine, Nature Communications and NeuroImage.

In The Last Decade

Junhao Wen

27 papers receiving 869 citations

Hit Papers

Convolutional neural networks for classification of Alzhe... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junhao Wen United States 11 311 301 268 196 164 30 883
Simona Bottani France 9 294 0.9× 304 1.0× 277 1.0× 152 0.8× 164 1.0× 20 751
Alexandre Routier France 10 272 0.9× 281 0.9× 251 0.9× 156 0.8× 155 0.9× 15 725
Jorge Samper‐Gonzàlez France 8 268 0.9× 283 0.9× 246 0.9× 145 0.7× 133 0.8× 10 667
Elaheh Moradi Finland 7 370 1.2× 246 0.8× 191 0.7× 264 1.3× 128 0.8× 13 810
Antonietta Pepe France 9 276 0.9× 210 0.7× 166 0.6× 287 1.5× 141 0.9× 17 719
Katherine R. Gray United Kingdom 10 293 0.9× 226 0.8× 129 0.5× 137 0.7× 164 1.0× 19 646
Danni Cheng China 15 232 0.7× 442 1.5× 243 0.9× 117 0.6× 162 1.0× 44 1.2k
Marie-Odile Habert France 6 483 1.6× 352 1.2× 185 0.7× 381 1.9× 262 1.6× 7 1.0k
Elina Thibeau–Sutre France 6 205 0.7× 239 0.8× 248 0.9× 116 0.6× 130 0.8× 12 613
Benoît Magnin France 12 261 0.8× 218 0.7× 88 0.3× 169 0.9× 262 1.6× 25 912

Countries citing papers authored by Junhao Wen

Since Specialization
Citations

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

Fields of papers citing papers by Junhao Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhao Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Junhao Wen. A scholar is included among the top collaborators of Junhao Wen 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 Junhao Wen. Junhao Wen 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.
Wen, Junhao, Ioanna Skampardoni, Ye Tian, et al.. (2025). Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders. Nature Biomedical Engineering. 9(11). 1920–1937. 5 indexed citations
2.
Zalesky, Andrew, Ye Tian, Luigi Ferrucci, et al.. (2025). Brain–heart–eye axis revealed by multi-organ imaging genetics and proteomics. Nature Biomedical Engineering. 1 indexed citations
3.
Wen, Junhao. (2025). Refining the generation, interpretation and application of multi-organ, multi-omics biological aging clocks. Nature Aging. 5(9). 1897–1913. 4 indexed citations
4.
Bao, Jingxuan, Junhao Wen, Changgee Chang, et al.. (2025). A genetically informed brain atlas for enhancing brain imaging genomics. Nature Communications. 16(1). 3524–3524. 2 indexed citations
5.
Wen, Junhao. (2025). Towards a multi-organ, multi-omics medical digital twin. Nature Biomedical Engineering. 9(9). 1386–1389. 1 indexed citations
6.
Feng, Yanbo, Patryk Orzechowski, Jingxuan Bao, et al.. (2025). Automated cytometric gating with human-level performance using bivariate segmentation. Nature Communications. 16(1). 1576–1576.
7.
Duggan, Michael R., Zhijian Yang, Junhao Wen, et al.. (2024). Proteomic analyses reveal plasma EFEMP1 and CXCL12 as biomarkers and determinants of neurodegeneration. Alzheimer s & Dementia. 20(9). 6486–6505. 5 indexed citations
8.
Yang, Zhijian, Junhao Wen, Guray Erus, & Christos Davatzikos. (2024). Identifying Five Dominant Dimensions of Neurodegeneration in Brain Aging through Deep Learning: Correlations with Clinical and Genetic Measures. Alzheimer s & Dementia. 20(S2). 1 indexed citations
9.
Hou, Bojian, Shuhua Yang, Junhao Wen, et al.. (2024). Interpretable Deep Clustering Survival Machines for Alzheimer's Disease Risk Groups Discovery. Alzheimer s & Dementia. 20(S2).
10.
Wen, Junhao, Bingxin Zhao, Zhijian Yang, et al.. (2024). The genetic architecture of multimodal human brain age. Nature Communications. 15(1). 2604–2604. 25 indexed citations
11.
Wen, Junhao, Ye Tian, Ioanna Skampardoni, et al.. (2024). The genetic architecture of biological age in nine human organ systems. Nature Aging. 4(9). 1290–1307. 29 indexed citations
12.
Wen, Junhao, Mathilde Antoniades, Zhijian Yang, et al.. (2024). Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning. Biological Psychiatry. 96(7). 564–584. 13 indexed citations
13.
Bao, Jingxuan, Kefei Liu, Junhao Wen, et al.. (2023). Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease. Methods. 218. 27–38. 4 indexed citations
14.
Bao, Jingxuan, Junhao Wen, Zhijian Yang, et al.. (2023). Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage. 280. 120346–120346. 10 indexed citations
15.
Wen, Junhao, Jorge Samper‐Gonzàlez, Simona Bottani, et al.. (2020). Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease. Neuroinformatics. 19(1). 57–78. 17 indexed citations
16.
Yue, Ling, Dan Hu, Han Zhang, et al.. (2020). Prediction of 7‐year's conversion from subjective cognitive decline to mild cognitive impairment. Human Brain Mapping. 42(1). 192–203. 32 indexed citations
17.
Ansart, Manon, Stéphane Epelbaum, Alexandre Bône, et al.. (2020). Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Analysis. 67. 101848–101848. 58 indexed citations
18.
Samper‐Gonzàlez, Jorge, Ninon Burgos, Simona Bottani, et al.. (2018). Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage. 183. 504–521. 113 indexed citations
19.
Wen, Junhao, Hui Zhang, Daniel C. Alexander, et al.. (2018). Neurite density is reduced in the presymptomatic phase ofC9orf72disease. Journal of Neurology Neurosurgery & Psychiatry. 90(4). 387–394. 51 indexed citations
20.
Marcoux, Arnaud, Ninon Burgos, Anne Bertrand, et al.. (2018). An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. Frontiers in Neuroinformatics. 12. 94–94. 10 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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