Youjiao Chen

451 total citations
9 papers, 365 citations indexed

About

Youjiao Chen is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Youjiao Chen has authored 9 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in Youjiao Chen's work include Alzheimer's disease research and treatments (3 papers), Pregnancy and preeclampsia studies (2 papers) and Virology and Viral Diseases (2 papers). Youjiao Chen is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Pregnancy and preeclampsia studies (2 papers) and Virology and Viral Diseases (2 papers). Youjiao Chen collaborates with scholars based in China. Youjiao Chen's co-authors include Liming Shen, Kaoyuan Zhang, Qiong Liu, Cheng Chen, Jiazuan Ni, Liping Liao, Chengyun Feng, Shuiming Li, Yuxi Zhao and Javed Iqbal and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Alzheimer s Disease and Frontiers in Cellular Neuroscience.

In The Last Decade

Youjiao Chen

9 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youjiao Chen China 9 140 88 87 84 50 9 365
Agata Różycka Poland 15 236 1.7× 17 0.2× 108 1.2× 50 0.6× 23 0.5× 29 519
Céline Bellenguez France 11 200 1.4× 10 0.1× 139 1.6× 199 2.4× 8 0.2× 17 450
Mélanie Jouin France 11 140 1.0× 12 0.1× 172 2.0× 18 0.2× 39 0.8× 16 471
Xiaoqin Zhu China 12 124 0.9× 16 0.2× 54 0.6× 14 0.2× 17 0.3× 27 323
Takeshi Suzuki Japan 12 191 1.4× 13 0.1× 54 0.6× 30 0.4× 12 0.2× 37 507
Laura L. Souza Brazil 8 137 1.0× 44 0.5× 61 0.7× 9 0.1× 9 0.2× 10 450
Martina Zandl‐Lang Austria 11 201 1.4× 7 0.1× 137 1.6× 20 0.2× 31 0.6× 14 421
Fernanda Borchers Coeli‐Lacchini Brazil 9 122 0.9× 8 0.1× 36 0.4× 20 0.2× 17 0.3× 27 271
Mohammed Alqinyah Saudi Arabia 9 148 1.1× 33 0.4× 36 0.4× 29 0.3× 3 0.1× 29 358
Yutaka Fujiwara Japan 10 120 0.9× 15 0.2× 83 1.0× 36 0.4× 4 0.1× 17 429

Countries citing papers authored by Youjiao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Youjiao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youjiao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Youjiao Chen. A scholar is included among the top collaborators of Youjiao 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 Youjiao Chen. Youjiao Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Shen, Liming, Danqing Zhao, Youjiao Chen, et al.. (2019). Comparative Proteomics Analysis of Serum Proteins in Gestational Diabetes during Early and Middle Stages of Pregnancy. PROTEOMICS - CLINICAL APPLICATIONS. 13(5). e1800060–e1800060. 24 indexed citations
2.
Shen, Liming, Chengyun Feng, Kaoyuan Zhang, et al.. (2019). Proteomics Study of Peripheral Blood Mononuclear Cells (PBMCs) in Autistic Children. Frontiers in Cellular Neuroscience. 13. 47 indexed citations
3.
Shen, Liming, Kaoyuan Zhang, Chengyun Feng, et al.. (2017). iTRAQ‐Based Proteomic Analysis Reveals Protein Profile in Plasma from Children with Autism. PROTEOMICS - CLINICAL APPLICATIONS. 12(3). e1700085–e1700085. 56 indexed citations
4.
Zhao, Danqing, Liming Shen, Wei Yan, et al.. (2017). Identification of candidate biomarkers for the prediction of gestational diabetes mellitus in the early stages of pregnancy using iTRAQ quantitative proteomics. PROTEOMICS - CLINICAL APPLICATIONS. 11(7-8). 36 indexed citations
5.
Feng, Chengyun, Youjiao Chen, Jintao Pan, et al.. (2017). Redox proteomic identification of carbonylated proteins in autism plasma: insight into oxidative stress and its related biomarkers in autism. Clinical Proteomics. 14(1). 2–2. 39 indexed citations
6.
Shen, Liming, Liping Liao, Cheng Chen, et al.. (2016). Proteomics Analysis of Blood Serums from Alzheimer’s Disease Patients Using iTRAQ Labeling Technology. Journal of Alzheimer s Disease. 56(1). 361–378. 63 indexed citations
7.
Shen, Liming, Youjiao Chen, Cheng Chen, et al.. (2016). Redox Proteomic Profiling of Specifically Carbonylated Proteins in the Serum of Triple Transgenic Alzheimer’s Disease Mice. International Journal of Molecular Sciences. 17(4). 469–469. 21 indexed citations
9.
Shen, Liming, Pengwei Yao, Xiao-Hong Sun, et al.. (2014). Gadolinium promoted proliferation in mouse embryo fibroblast NIH3T3 cells through Rac and PI3K/Akt signaling pathways. BioMetals. 27(4). 753–762. 18 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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