Qiang Chen

9.3k total citations · 1 hit paper
81 papers, 3.9k citations indexed

About

Qiang Chen is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Qiang Chen has authored 81 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 21 papers in Molecular Biology and 15 papers in Cognitive Neuroscience. Recurrent topics in Qiang Chen's work include Genetic Associations and Epidemiology (17 papers), Functional Brain Connectivity Studies (13 papers) and Birth, Development, and Health (9 papers). Qiang Chen is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Functional Brain Connectivity Studies (13 papers) and Birth, Development, and Health (9 papers). Qiang Chen collaborates with scholars based in China, United States and Italy. Qiang Chen's co-authors include Andreas Meyer‐Lindenberg, Venkata S. Mattay, Daniel R. Weinberger, Daniela Mier, Harald Gruppe, Stefanie Lis, B. Gallhofer, Christine Esslinger, Peter Kirsch and Yunxia Tong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Qiang Chen

75 papers receiving 3.8k citations

Hit Papers

Oxytocin Modulates Neural Circuitry for Social Cognition ... 2005 2026 2012 2019 2005 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Chen China 27 1.3k 1000 770 757 725 81 3.9k
Latha Soorya United States 26 833 0.7× 1.8k 1.8× 866 1.1× 278 0.4× 324 0.4× 59 3.1k
Francesca Cirulli Italy 47 2.0k 1.6× 884 0.9× 857 1.1× 365 0.5× 714 1.0× 172 6.7k
A. Courtney DeVries United States 50 3.1k 2.4× 598 0.6× 562 0.7× 1.5k 2.0× 907 1.3× 133 7.7k
Tsukasa Sasaki Japan 34 725 0.6× 826 0.8× 581 0.8× 648 0.9× 709 1.0× 182 4.3k
Lars Westberg Sweden 34 1.0k 0.8× 562 0.6× 702 0.9× 655 0.9× 678 0.9× 132 3.7k
Cheryl L. Sisk United States 42 2.2k 1.7× 898 0.9× 709 0.9× 807 1.1× 786 1.1× 154 7.5k
Igor Branchi Italy 45 1.5k 1.2× 758 0.8× 363 0.5× 377 0.5× 649 0.9× 103 6.6k
Salomon Israel Israel 33 1.7k 1.4× 900 0.9× 349 0.5× 1.5k 2.0× 348 0.5× 68 5.2k
Mamoru Tochigi Japan 30 443 0.3× 618 0.6× 637 0.8× 408 0.5× 907 1.3× 94 3.0k
Michael Deuschle Germany 43 767 0.6× 886 0.9× 238 0.3× 730 1.0× 509 0.7× 191 6.7k

Countries citing papers authored by Qiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Chen. A scholar is included among the top collaborators of Qiang Chen 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 Qiang Chen. Qiang Chen 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, Hai, Qiang Chen, Tingting Liu, et al.. (2025). SkeFormer: Skeletal Cues-Aware Bone Point Relationship Learning for Efficient FBIC via Transformers. IEEE Transactions on Multimedia. 28. 2145–2158.
2.
Wang, Chao, et al.. (2025). Developing a nomogram model for predicting non-obstructive azoospermia using machine learning techniques. Scientific Reports. 15(1). 5468–5468.
4.
5.
Zhang, Dan‐Wei, et al.. (2024). Maternal cardiovascular health in early pregnancy and the risk of congenital heart defects in offspring. BMC Pregnancy and Childbirth. 24(1). 325–325. 1 indexed citations
7.
Ursini, Gianluca, Pasquale Di Carlo, Qiang Chen, et al.. (2023). Prioritization of potential causative genes for schizophrenia in placenta. Nature Communications. 14(1). 2613–2613. 18 indexed citations
8.
Pergola, Giulio, Rahul Bharadwaj, Eugenia Radulescu, et al.. (2023). Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions. Science Advances. 9(15). eade2812–eade2812. 10 indexed citations
10.
Yang, Yanping, Wenkai Guo, Jian Sun, et al.. (2022). Characteristics of volatile organic compounds and secondary organic aerosol pollution in different functional areas of petrochemical industrial cities in Northwest China. The Science of The Total Environment. 858(Pt 3). 159903–159903. 15 indexed citations
11.
Chen, Qiang, Giulio Pergola, Aaron L. Goldman, et al.. (2021). G-MIND: An end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 6 indexed citations
12.
Xiang, Jiale, Lisha Chen, Qiang Chen, et al.. (2020). Reinterpretation of common pathogenic variants in ClinVar revealed a high proportion of downgrades. Scientific Reports. 10(1). 331–331. 26 indexed citations
14.
Jaffe, Andrew E., Richard E. Straub, Joo Heon Shin, et al.. (2018). Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis. Nature Neuroscience. 21(8). 1117–1125. 211 indexed citations
15.
Yang, Jialei, Xiaojing Guo, Lulu Zhu, et al.. (2018). Rs7219 Regulates the Expression of GRB2 by Affecting miR-1288-Mediated Inhibition and Contributes to the Risk of Schizophrenia in the Chinese Han Population. Cellular and Molecular Neurobiology. 39(1). 137–147. 6 indexed citations
16.
Radulescu, Eugenia, Andrew E. Jaffe, Richard E. Straub, et al.. (2018). Identification and prioritization of gene sets associated with schizophrenia risk by co-expression network analysis in human brain. Molecular Psychiatry. 25(4). 791–804. 73 indexed citations
17.
Tong, Yunxia, Qiang Chen, Thomas E. Nichols, et al.. (2016). Seeking Optimal Region-Of-Interest (ROI) Single-Value Summary Measures for fMRI Studies in Imaging Genetics. PLoS ONE. 11(3). e0151391–e0151391. 35 indexed citations
18.
Jiang, Sisi, Hao Yan, Qiang Chen, et al.. (2015). Cerebral Inefficient Activation in Schizophrenia Patients and Their Unaffected Parents during the N-Back Working Memory Task: A Family fMRI Study. PLoS ONE. 10(8). e0135468–e0135468. 19 indexed citations
19.
Morita, Yukitaka, Joseph H. Callicott, Dwight Dickinson, et al.. (2014). Characteristics of the Cation Cotransporter NKCC1 in Human Brain: Alternate Transcripts, Expression in Development, and Potential Relationships to Brain Function and Schizophrenia. Journal of Neuroscience. 34(14). 4929–4940. 46 indexed citations
20.
Kirsch, Peter, Christine Esslinger, Qiang Chen, et al.. (2005). Oxytocin Modulates Neural Circuitry for Social Cognition and Fear in Humans. Journal of Neuroscience. 25(49). 11489–11493. 1176 indexed citations breakdown →

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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