Xiangning Chen
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
Papers in
- Genetics 36
- Genetic Associations and Epidemiology 32
- Genetics and Neurodevelopmental Disorders 9
- Genomics and Rare Diseases 7
- Co-authors
- Kenneth S. KendlerMichael C. NealeJohn M. HettemaZhongming ZhaoAyman H. FanousPeilin JiaJingchun ChenSeon‐Sook An
- Journals
- American Journal of Medical Genetics Part B Neuropsychiatric Genetics (12 papers)PLoS ONE (4 papers)Biological Psychiatry (3 papers)Psychiatric Genetics (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesChinaIreland
In The Last Decade
Xiangning Chen
97 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 162
- Biological Psychiatry 222
- Behavioral Neuroscience 83
- Geriatrics and Gerontology 89
- Cellular and Molecular Neuroscience 354
- Genetics 489
Countries citing papers authored by Xiangning Chen
This map shows the geographic impact of Xiangning Chen'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 Xiangning Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangning Chen more than expected).
Fields of papers citing papers by Xiangning Chen
This network shows the impact of papers produced by Xiangning Chen. 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 Xiangning Chen. The network helps show where Xiangning Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiangning Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 3 | |
| 6 | 2019 | 8 | |
| 7 | 2019 | 6 | |
| 8 | Learning Recommender Systems from Multi-Behavior Data. | 2018 | 4 |
| 9 | 2016 | 3 | |
| 10 | 2016 | 36 | |
| 11 | 2015 | 26 | |
| 12 | Support for involvement of glutamate decarboxylase 1 and neuropeptide y in anxiety susceptibility | 2012 | 1 |
| 13 | 2012 | 9 | |
| 14 | 2011 | 196 | |
| 15 | 2011 | 16 | |
| 16 | 2009 | 21 | |
| 17 | 2009 | 17 | |
| 18 | 2008 | 85 | |
| 19 | 2006 | 13 | |
| 20 | 2004 | 12 |
About Xiangning Chen
Xiangning Chen is a scholar working on Biological Psychiatry, Genetics, Computer Vision and Pattern Recognition, Behavioral Neuroscience and Molecular Biology, having authored 100 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (32 papers), Bioinformatics and Genomic Networks (12 papers), Nicotinic Acetylcholine Receptors Study (12 papers), Genetics and Neurodevelopmental Disorders (9 papers), Receptor Mechanisms and Signaling (8 papers), Genomics and Rare Diseases (7 papers), Smoking Behavior and Cessation (7 papers) and Recommender Systems and Techniques (7 papers). The work is most often cited by research in Biological Psychiatry (222 citations), Behavioral Neuroscience (83 citations), Geriatrics and Gerontology (89 citations), Cellular and Molecular Neuroscience (354 citations) and Genetics (489 citations). Xiangning Chen has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Kenneth S. Kendler, Michael C. Neale, John M. Hettema, Zhongming Zhao, Ayman H. Fanous, Peilin Jia, Jingchun Chen, Seon‐Sook An, Brien P. Riley and Dermot Walsh. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, PLoS ONE, Biological Psychiatry, Psychiatric Genetics and Scientific Reports.
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.