Weichen Song

1.2k total citations
39 papers, 483 citations indexed

About

Weichen Song is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Weichen Song has authored 39 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Weichen Song's work include Bioinformatics and Genomic Networks (10 papers), Genetic Associations and Epidemiology (9 papers) and Single-cell and spatial transcriptomics (7 papers). Weichen Song is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Genetic Associations and Epidemiology (9 papers) and Single-cell and spatial transcriptomics (7 papers). Weichen Song collaborates with scholars based in China, United States and Australia. Weichen Song's co-authors include Guan Ning Lin, Shunying Yu, Xiao Liu, Xianting Ding, Brandon Wong, Ting Zhang, Wei Qian, Weidi Wang, Man Zhang and Huadong Lai and has published in prestigious journals such as Journal of The Electrochemical Society, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Weichen Song

37 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weichen Song China 12 257 65 62 61 58 39 483
Yiya Yang China 15 437 1.7× 52 0.8× 84 1.4× 31 0.5× 30 0.5× 39 731
Alexander Aivazidis United Kingdom 6 485 1.9× 126 1.9× 64 1.0× 88 1.4× 161 2.8× 7 717
Rui Cheng China 12 396 1.5× 22 0.3× 29 0.5× 69 1.1× 121 2.1× 40 640
Zhou Jiang China 14 302 1.2× 18 0.3× 81 1.3× 41 0.7× 42 0.7× 43 663
Grit Nebrich Germany 15 352 1.4× 56 0.9× 52 0.8× 46 0.8× 32 0.6× 29 718
Yongjin Park Canada 9 556 2.2× 15 0.2× 143 2.3× 86 1.4× 64 1.1× 23 808
Jennifer Baccon United States 12 540 2.1× 99 1.5× 110 1.8× 25 0.4× 37 0.6× 26 969
Florian Roka Austria 13 295 1.1× 67 1.0× 67 1.1× 16 0.3× 52 0.9× 20 680
Aaron Osborne United States 21 300 1.2× 30 0.5× 58 0.9× 33 0.5× 83 1.4× 37 1.7k
Changchun Chen United Kingdom 14 545 2.1× 30 0.5× 68 1.1× 21 0.3× 51 0.9× 32 873

Countries citing papers authored by Weichen Song

Since Specialization
Citations

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

Fields of papers citing papers by Weichen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weichen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Weichen Song. A scholar is included among the top collaborators of Weichen Song 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 Weichen Song. Weichen Song 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.
2.
Song, Weichen, et al.. (2025). Deepfake detection via Feature Refinement and Enhancement Network. Image and Vision Computing. 162. 105663–105663. 2 indexed citations
3.
4.
Su, Hang, Weichen Song, Tianzhen Chen, et al.. (2024). Peripheral molecular and brain structural profile implicated stress activation and hyperoxidation in methamphetamine use disorder. Psychiatry and Clinical Neurosciences. 79(2). 60–68.
5.
Song, Weichen, Aiqing Feng, Guojie Wang, et al.. (2023). Bi-Objective Crop Mapping from Sentinel-2 Images Based on Multiple Deep Learning Networks. Remote Sensing. 15(13). 3417–3417. 10 indexed citations
6.
Liu, Hui, Hui Liu, Junpeng Li, et al.. (2023). Evaluation of HPV infection helps to direct ALA-PDT of condyloma acuminata. Photodiagnosis and Photodynamic Therapy. 43. 103696–103696. 2 indexed citations
7.
Su, Hang, Weichen Song, Min Zhao, et al.. (2023). Repeated methamphetamine exposure decreases plasma brain-derived neurotrophic factor levels in rhesus monkeys. General Psychiatry. 36(5). e101127–e101127. 4 indexed citations
8.
Lin, Guan Ning, Weichen Song, Weidi Wang, et al.. (2022). De novo mutations identified by whole-genome sequencing implicate chromatin modifications in obsessive-compulsive disorder. Science Advances. 8(2). eabi6180–eabi6180. 12 indexed citations
9.
Song, Weichen, Kai Yuan, Zhe Liu, et al.. (2022). Locus-level antagonistic selection shaped the polygenic architecture of human complex diseases. Human Genetics. 141(12). 1935–1947. 1 indexed citations
10.
Song, Weichen, Guan Ning Lin, Shunying Yu, & Min Zhao. (2022). Genome-wide identification of the shared genetic basis of cannabis and cigarette smoking and schizophrenia implicates NCAM1 and neuronal abnormality. Psychiatry Research. 310. 114453–114453. 6 indexed citations
11.
Song, Weichen, Qi Wang, Zhiwen Zhang, et al.. (2022). Identification of novel biomarkers and key pathways of condyloma acuminata. Genomics. 114(2). 110303–110303. 3 indexed citations
12.
Song, Weichen, Weidi Wang, Shunying Yu, & Guan Ning Lin. (2021). Dissection of the Genetic Association between Anorexia Nervosa and Obsessive–Compulsive Disorder at the Network and Cellular Levels. Genes. 12(4). 491–491. 8 indexed citations
13.
Song, Weichen, Weidi Wang, Zhe Liu, et al.. (2021). A Comprehensive Evaluation of Cross-Omics Blood-Based Biomarkers for Neuropsychiatric Disorders. Journal of Personalized Medicine. 11(12). 1247–1247. 4 indexed citations
14.
Song, Weichen, Weidi Wang, Wei Qian, et al.. (2021). A selection pressure landscape for 870 human polygenic traits. Nature Human Behaviour. 5(12). 1731–1743. 11 indexed citations
15.
Song, Weichen, Wei Qian, Weidi Wang, Shunying Yu, & Guan Ning Lin. (2021). Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders. BMC Genomics. 22(S3). 342–342. 21 indexed citations
16.
Zhou, Yuqiong, et al.. (2021). A single-cell interactome of human tooth germ from growing third molar elucidates signaling networks regulating dental development. Cell & Bioscience. 11(1). 178–178. 13 indexed citations
17.
Shen, He, Yi Wen, Weichen Song, et al.. (2020). Network-based approach to identify molecular signatures in the brains of depressed suicides. Psychiatry Research. 294. 113513–113513. 24 indexed citations
18.
Han, Wei, et al.. (2019). Comparative analysis of cellular expression pattern of schizophrenia risk genes in human versus mouse cortex. Cell & Bioscience. 9(1). 89–89. 6 indexed citations
19.
Lin, Guan Ning, Weidi Wang, Wei Qian, et al.. (2019). PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders. Genomics Proteomics & Bioinformatics. 17(4). 453–464. 9 indexed citations
20.
Song, Weichen, Yifeng Shen, Ran Zhang, et al.. (2019). Expression alteration of microRNAs in Nucleus Accumbens is associated with chronic stress and antidepressant treatment in rats. BMC Medical Informatics and Decision Making. 19(S6). 271–271. 17 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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