Jingwen Yan
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Genetics top 10%
- Psychiatry and Mental health top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Andrew J. SaykinLi ShenShannon L. RisacherHeng HuangKwangsik NhoYunmei WeiYuanyuan LiuJiangyu Ye
- Topics
- Bioinformatics and Genomic Networks (38 papers)Genetic Associations and Epidemiology (26 papers)Gene expression and cancer classification (23 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jingwen Yan
74 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 720
- Cognitive Neuroscience 260
- Genetics 253
- Psychiatry and Mental health 185
- Radiology, Nuclear Medicine and Imaging 182
Countries citing papers authored by Jingwen Yan
This map shows the geographic impact of Jingwen Yan'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 Jingwen Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingwen Yan more than expected).
Fields of papers citing papers by Jingwen Yan
This network shows the impact of papers produced by Jingwen Yan. 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 Jingwen Yan. The network helps show where Jingwen Yan may publish in the future.
Co-authorship network of co-authors of Jingwen Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Jingwen Yan. A scholar is included among the top collaborators of Jingwen Yan 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 Jingwen Yan. Jingwen Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 51 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | Joint Exploration and Mining of Memory-Relevant Brain Anatomic and Connectomic Patterns via a Three-Way Association Model | 2 |
| 10 | Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data | 44 |
| 11 | 15 | |
| 12 | 26 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease | 1 |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction | 58 |
About Jingwen Yan
Jingwen Yan is a scholar working on Genetics, Cognitive Neuroscience and Statistics and Probability, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (38 papers), Genetic Associations and Epidemiology (26 papers) and Gene expression and cancer classification (23 papers). The work is most often cited by research in Computational Mathematics (15 citations), Cognitive Neuroscience (260 citations) and Psychiatry and Mental health (185 citations). Jingwen Yan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Andrew J. Saykin, Li Shen, Shannon L. Risacher, Heng Huang, Kwangsik Nho, Yunmei Wei, Yuanyuan Liu, Jiangyu Ye, Zhiwei Zhao and Yunyi Li. Their work appears in journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.
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.