Yingjia Chen

682 total citations
30 papers, 461 citations indexed

About

Yingjia Chen is a scholar working on Molecular Biology, Clinical Biochemistry and Computational Theory and Mathematics. According to data from OpenAlex, Yingjia Chen has authored 30 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Clinical Biochemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Yingjia Chen's work include Advanced Glycation End Products research (7 papers), Gut microbiota and health (4 papers) and Computational Drug Discovery Methods (4 papers). Yingjia Chen is often cited by papers focused on Advanced Glycation End Products research (7 papers), Gut microbiota and health (4 papers) and Computational Drug Discovery Methods (4 papers). Yingjia Chen collaborates with scholars based in United States, China and Finland. Yingjia Chen's co-authors include Tai L. Guo, Tamás Nagy, Peng Zhou, Guannan Huang, Xiaoxia Chen, Theodore P. Labuza, Joella Xu, Fanbin Kong, Yu-Ju Lin and Dasong Liu and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Food Chemistry.

In The Last Decade

Yingjia Chen

26 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingjia Chen United States 14 177 74 64 56 48 30 461
Sofija Jovanović Stojanov Serbia 11 197 1.1× 30 0.4× 30 0.5× 17 0.3× 17 0.4× 28 379
Raphael Ferreira Queiroz Brazil 14 209 1.2× 46 0.6× 14 0.2× 11 0.2× 88 1.8× 33 485
Mervyn Robinson United Kingdom 8 133 0.8× 17 0.2× 131 2.0× 62 1.1× 116 2.4× 8 537
Francis C. Dehle Australia 9 173 1.0× 73 1.0× 38 0.6× 5 0.1× 238 5.0× 10 487
Raheleh Shakeri Iran 11 231 1.3× 49 0.7× 30 0.5× 6 0.1× 22 0.5× 24 496
Meghri Katerji United States 7 123 0.7× 24 0.3× 8 0.1× 33 0.6× 34 0.7× 9 392
Michela Geminiani Italy 17 305 1.7× 30 0.4× 192 3.0× 17 0.3× 54 1.1× 54 720
Maisa Siddiq Abduh Saudi Arabia 13 131 0.7× 20 0.3× 10 0.2× 17 0.3× 14 0.3× 26 422
Marzieh Asadi Iran 8 188 1.1× 26 0.4× 7 0.1× 19 0.3× 23 0.5× 21 464
Xiawen Yang China 14 212 1.2× 25 0.3× 19 0.3× 7 0.1× 36 0.8× 24 458

Countries citing papers authored by Yingjia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yingjia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjia Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjia Chen. A scholar is included among the top collaborators of Yingjia 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 Yingjia Chen. Yingjia 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.
2.
Chen, Yingjia, Liye He, Aleksandr Ianevski, et al.. (2025). A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia. Cancer Research. 85(14). 2753–2768. 4 indexed citations
3.
Wang, Kai, Jun Xiang, Zhoufeng Wang, et al.. (2025). Development and validation of a transcription factor regulatory network‐based signature for individualized prognostic risk in lung adenocarcinoma. International Journal of Cancer. 156(12). 2440–2451.
4.
Huang, Bowen, Yingjia Chen, & Shuqiang Yuan. (2024). Application of Spatial Transcriptomics in Digestive System Tumors. Biomolecules. 15(1). 21–21.
5.
Sharma, Amit, Garima Sharma, Zhen Gao, et al.. (2024). Glut3 promotes cellular O-GlcNAcylation as a distinctive tumor-supportive feature in Treg cells. Cellular and Molecular Immunology. 21(12). 1474–1490. 3 indexed citations
6.
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8.
Chen, Yingjia, Liye He, Aleksandr Ianevski, et al.. (2023). Robust scoring of selective drug responses for patient-tailored therapy selection. Nature Protocols. 19(1). 60–82. 5 indexed citations
9.
Uguen, Marianne, Magalie Hilton, Mufiza Farid‐Kapadia, et al.. (2023). Advancing drug development in pediatric oncology, a focus on cancer biology and targeted therapies: iMATRIX platform. Journal of Biopharmaceutical Statistics. 33(6). 800–811. 1 indexed citations
10.
Lin, Yu-Ju, Yingjia Chen, Tai L. Guo, & Fanbin Kong. (2022). Six weeks effect of different nanocellulose on blood lipid level and small intestinal morphology in mice. International Journal of Biological Macromolecules. 228. 498–505. 4 indexed citations
11.
Kong, Weikaixin, et al.. (2022). Systematic review of computational methods for drug combination prediction. Computational and Structural Biotechnology Journal. 20. 2807–2814. 32 indexed citations
12.
Yang, Tianbiao, Zhaojun Li, Yingjia Chen, et al.. (2020). DrugSpaceX: a large screenable and synthetically tractable database extending drug space. Nucleic Acids Research. 49(D1). D1170–D1178. 26 indexed citations
13.
Guo, Tai L., et al.. (2020). Gut microbiome in neuroendocrine and neuroimmune interactions: The case of genistein. Toxicology and Applied Pharmacology. 402. 115130–115130. 23 indexed citations
14.
Li, Xutong, Xiaolong Wu, Xiaozhe Wan, et al.. (2020). The application of artificial intelligence to drug sensitivity prediction. Chinese Science Bulletin (Chinese Version). 65(32). 3551–3561. 1 indexed citations
15.
Chen, Yingjia, Tamás Nagy, & Tai L. Guo. (2019). Glycated whey proteins protect NOD mice against type 1 diabetes by increasing anti-inflammatory responses and decreasing autoreactivity to self-antigens. Journal of Functional Foods. 56. 171–181. 8 indexed citations
16.
Chen, Yingjia, Yu-Ju Lin, Tamás Nagy, Fanbin Kong, & Tai L. Guo. (2019). Subchronic exposure to cellulose nanofibrils induces nutritional risk by non-specifically reducing the intestinal absorption. Carbohydrate Polymers. 229. 115536–115536. 34 indexed citations
17.
Shih, Changming, Shiyue Hou, Jingwen Shi, et al.. (2017). Plexin B2 and Semaphorin 4C Guide T Cell Recruitment and Function in the Germinal Center. Cell Reports. 19(5). 995–1007. 43 indexed citations
18.
Xu, Joella, et al.. (2016). TCDD modulation of gut microbiome correlated with liver and immune toxicity in streptozotocin (STZ)-induced hyperglycemic mice. Toxicology and Applied Pharmacology. 304. 48–58. 54 indexed citations
19.
Chen, Yingjia, Xiaoxia Chen, Tai L. Guo, & Peng Zhou. (2014). Improving the thermostability of β-lactoglobulin via glycation: The effect of sugar structures. Food Research International. 69. 106–113. 28 indexed citations
20.
Zhou, Peng, Dasong Liu, Xiaoxia Chen, Yingjia Chen, & Theodore P. Labuza. (2013). Stability of whey protein hydrolysate powders: Effects of relative humidity and temperature. Food Chemistry. 150. 457–462. 36 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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