Yongchang Chen

3.5k total citations
63 papers, 1.2k citations indexed

About

Yongchang Chen is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Yongchang Chen has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 15 papers in Genetics and 7 papers in Cognitive Neuroscience. Recurrent topics in Yongchang Chen's work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (11 papers) and Genetics and Neurodevelopmental Disorders (7 papers). Yongchang Chen is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (11 papers) and Genetics and Neurodevelopmental Disorders (7 papers). Yongchang Chen collaborates with scholars based in China, United States and Taiwan. Yongchang Chen's co-authors include Weizhi Ji, Yuyu Niu, Gerry R. Boss, Yu Kang, Tanima Gudi, Shunhui Zhuang, Renate B. Pilz, Chenyang Si, V. G. Kharitonov and Xiangyu Guo and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yongchang Chen

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongchang Chen China 19 887 232 112 100 78 63 1.2k
Tamar Paperna Israel 21 524 0.6× 242 1.0× 100 0.9× 55 0.6× 124 1.6× 48 1.2k
Wendy Bushell United Kingdom 4 877 1.0× 318 1.4× 62 0.6× 99 1.0× 73 0.9× 4 1.3k
Michael Nefedov United States 6 977 1.1× 358 1.5× 83 0.7× 97 1.0× 74 0.9× 6 1.4k
Nejat Mahdieh Iran 17 860 1.0× 394 1.7× 154 1.4× 56 0.6× 47 0.6× 95 1.6k
Manousos Koutsourakis United Kingdom 3 924 1.0× 324 1.4× 66 0.6× 98 1.0× 67 0.9× 5 1.3k
Rocío G. Urdinguio Spain 19 1.3k 1.5× 486 2.1× 245 2.2× 126 1.3× 90 1.2× 33 1.6k
Manir Ali United Kingdom 24 654 0.7× 277 1.2× 63 0.6× 114 1.1× 39 0.5× 61 1.4k
Peter F. Hickey Australia 21 791 0.9× 248 1.1× 133 1.2× 98 1.0× 67 0.9× 37 1.3k
Yasuo Ouchi Japan 20 677 0.8× 176 0.8× 119 1.1× 58 0.6× 49 0.6× 34 1.0k
Eiko K. de Jong Netherlands 30 950 1.1× 355 1.5× 84 0.8× 165 1.6× 143 1.8× 70 3.1k

Countries citing papers authored by Yongchang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yongchang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongchang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yongchang Chen. A scholar is included among the top collaborators of Yongchang 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 Yongchang Chen. Yongchang 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.
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Liu, Shuyi, et al.. (2024). Neural Stem Cells Transplanted into Rhesus Monkey Cortical Traumatic Brain Injury Can Survive and Differentiate into Neurons. International Journal of Molecular Sciences. 25(3). 1642–1642. 3 indexed citations
3.
Zhao, Yan, et al.. (2024). IFI16 promotes the progression of clear cell renal cell carcinoma through the IL6/PI3K/AKT axis. Journal of Translational Medicine. 22(1). 533–533. 8 indexed citations
4.
Wang, Xiaopeng, Qing Wang, Jun Zhao, et al.. (2024). RCDdb: A manually curated database and analysis platform for regulated cell death. Computational and Structural Biotechnology Journal. 23. 3211–3221. 1 indexed citations
5.
Chen, Yongchang, et al.. (2024). FT-Mamba: A Novel Deep Learning Model for Efficient Tabular Regression. 3096–3100. 1 indexed citations
6.
Li, Peng, Ting Zhang, Junyu Zhang, et al.. (2023). Loss of SHROOM3 affects neuroepithelial cell shape through regulating cytoskeleton proteins in cynomolgus monkey organoids. 动物学研究. 45(2). 233–241. 1 indexed citations
7.
Liu, Yan, Liang Shan, Yongchang Chen, et al.. (2023). Molecular and cellular mechanisms of the first social relationship: A conserved role of 5-HT from mice to monkeys, upstream of oxytocin. Neuron. 111(9). 1468–1485.e7. 21 indexed citations
8.
Li, Feng, et al.. (2023). Phenotypes and genetic etiology of spontaneous polycystic kidney and liver disease in cynomolgus monkey. Frontiers in Veterinary Science. 10. 1106016–1106016. 1 indexed citations
9.
Li, Wanyi, et al.. (2022). Dynamic manifold Boltzmann optimization based on self‐supervised learning for human motion estimation. IET Image Processing. 16(4). 1162–1180. 2 indexed citations
10.
Song, Yafeng, et al.. (2022). Promising therapeutic approaches of utrophin replacing dystrophin in the treatment of Duchenne muscular dystrophy. Fundamental Research. 2(6). 885–893. 5 indexed citations
11.
Yang, Ran, Alexander Goedel, Yu Kang, et al.. (2021). Amnion signals are essential for mesoderm formation in primates. Nature Communications. 12(1). 73 indexed citations
12.
Li, Peng, et al.. (2021). Embryo-Engineered Nonhuman Primate Models: Progress and Gap to Translational Medicine. Research. 2021. 9898769–9898769. 6 indexed citations
13.
Zhong, Tao, Jingkuan Wei, Kunhua Wu, et al.. (2021). Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. NeuroImage. 247. 118799–118799. 3 indexed citations
14.
Wang, Ying, Weihui Zhang, Yan Wu, et al.. (2016). Type II Cyclic Guanosine Monophosphate-Dependent ProteinKinase Inhibits Vegf-A/Vegfr-2 Pathway Activation In GastricCancer Cells. Electronic journal of biology. 12(4). 1 indexed citations
15.
Chen, Yongchang, Yinghui Zheng, Yu Kang, et al.. (2015). Functional disruption of the dystrophin gene in rhesus monkey using CRISPR/Cas9. Human Molecular Genetics. 24(13). 3764–3774. 180 indexed citations
16.
Chen, Yongchang, Zhengbo Wang, Xiangyu Guo, et al.. (2012). Folic acid deficiency inhibits neural rosette formation and neuronal differentiation from rhesus monkey embryonic stem cells. Journal of Neuroscience Research. 90(7). 1382–1391. 26 indexed citations
17.
Chen, Yongchang. (2011). Factors influencing RhoA protein distribution in the nucleus. Molecular Medicine Reports. 4(6). 1115–9. 12 indexed citations
18.
Wang, Ying, Yongchang Chen, Min Chen, & Wenrong Xu. (2006). AKAPs competing peptide HT31 disrupts the inhibitory effect of PKA on RhoA activity. Oncology Reports. 16(4). 755–61. 14 indexed citations
19.
Zhuang, Shunhui, Yongchang Chen, Tanima Gudi, et al.. (2004). Vasodilator-stimulated Phosphoprotein Activation of Serum-response Element-dependent Transcription Occurs Downstream of RhoA and Is Inhibited by cGMP-dependent Protein Kinase Phosphorylation. Journal of Biological Chemistry. 279(11). 10397–10407. 39 indexed citations
20.
Chen, Yongchang, Shunhui Zhuang, Darren E. Casteel, et al.. (2003). Synergism between Calcium and Cyclic GMP in Cyclic AMP Response Element-Dependent Transcriptional Regulation Requires Cooperation between CREB and C/EBP-β. Molecular and Cellular Biology. 23(12). 4066–4082. 48 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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