Yin Jia

1.3k total citations
30 papers, 902 citations indexed

About

Yin Jia is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Yin Jia has authored 30 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Artificial Intelligence. Recurrent topics in Yin Jia's work include RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). Yin Jia is often cited by papers focused on RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). Yin Jia collaborates with scholars based in China, United States and Hong Kong. Yin Jia's co-authors include Shuhan Sun, Yi Zhang, Yingjun Guo, Ruiying Zheng, Hui Guo, Yue Wang, Shanrong Liu, Xue Geng, Li Li and Hong Xin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Yin Jia

28 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yin Jia China 12 512 497 154 114 105 30 902
Peng Jiang China 15 139 0.3× 305 0.6× 120 0.8× 19 0.2× 127 1.2× 88 857
Yun Yang China 16 113 0.2× 257 0.5× 41 0.3× 36 0.3× 51 0.5× 48 608
Xue Zou China 19 290 0.6× 567 1.1× 12 0.1× 54 0.5× 133 1.3× 33 958
Kang Kang China 20 753 1.5× 864 1.7× 15 0.1× 89 0.8× 71 0.7× 36 1.3k
Jianhong Chen China 16 67 0.1× 188 0.4× 57 0.4× 60 0.5× 71 0.7× 58 680
Yue He China 14 299 0.6× 444 0.9× 133 0.9× 27 0.2× 66 0.6× 23 712
Yali Li China 16 128 0.3× 239 0.5× 133 0.9× 14 0.1× 123 1.2× 51 790
Dan Sun China 12 202 0.4× 289 0.6× 28 0.2× 40 0.4× 32 0.3× 36 556
Xueliang Zhang China 15 239 0.5× 363 0.7× 18 0.1× 43 0.4× 43 0.4× 27 605
Hongbo Zhao China 17 127 0.2× 319 0.6× 24 0.2× 43 0.4× 84 0.8× 66 693

Countries citing papers authored by Yin Jia

Since Specialization
Citations

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

Fields of papers citing papers by Yin Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Jia. A scholar is included among the top collaborators of Yin Jia 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 Yin Jia. Yin Jia 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.
Ma, Yingying, et al.. (2025). Enhancer RNA–mediated transcriptional regulatory programs reveal the malignant progression of glioma. Science Advances. 11(23). eadu9487–eadu9487. 1 indexed citations
2.
Wang, Yongwei, et al.. (2025). Efficient recovery of valuable components from lithium battery cathode and silicon carbide waste based on a synergistic roasting-magnetic separation process. Journal of environmental chemical engineering. 13(3). 116991–116991.
3.
Xu, Peijie, Yongdan Cao, Zhenguo Ji, et al.. (2025). High performance Janus separator based on microstructurally controllable halloysite nanotubes for zinc-ion batteries. Journal of Energy Storage. 114. 115820–115820. 1 indexed citations
4.
Zhang, Zhiying, et al.. (2024). Gold nanoparticle-based lateral flow immunoassay for the repaid and sensitive detection of pyraclostrobin in wheat, apple, Chinese cabbage, and soil samples. Journal of Food Composition and Analysis. 134. 106551–106551. 1 indexed citations
5.
6.
Guo, Jie, Zihao Wu, Yin Jia, et al.. (2023). A self‐evaluated predictive model: A Bayesian neural network approach to colorectal cancer diagnosis. SHILAP Revista de lepidopterología. 5(1). 3 indexed citations
7.
Jia, Yin, et al.. (2023). Microphone-Based Context Awareness and Coverage Planner for a Service Robot Using Deep Learning Techniques. Mathematics. 11(8). 1766–1766. 1 indexed citations
8.
Jia, Yin, Zixin Liu, Jie Guo, et al.. (2023). Machine Learning and Bioinformatics Analysis for Laboratory Data in Pan‐Cancers Detection. SHILAP Revista de lepidopterología. 5(12). 1 indexed citations
9.
Wei, Wenxin, Qiuhong Man, Liang Chen, et al.. (2023). Hypoxia-induced circ-CDYL-EEF1A2 transcriptional complex drives lung metastasis of cancer stem cells from hepatocellular carcinoma. Cancer Letters. 578. 216442–216442. 24 indexed citations
10.
Jia, Yin, et al.. (2023). Deep-Learning-Based Context-Aware Multi-Level Information Fusion Systems for Indoor Mobile Robots Safe Navigation. Sensors. 23(4). 2337–2337. 9 indexed citations
11.
Zhou, Xinru, Yin Jia, Chuanbin Mao, & Shanrong Liu. (2023). Small extracellular vesicles: Non-negligible vesicles in tumor progression, diagnosis, and therapy. Cancer Letters. 580. 216481–216481. 31 indexed citations
12.
Xu, Qing, Shan-Ce Niu, Xiaojing Zhang, et al.. (2022). Chromosome-Scale Assembly of the Dendrobium nobile Genome Provides Insights Into the Molecular Mechanism of the Biosynthesis of the Medicinal Active Ingredient of Dendrobium. Frontiers in Genetics. 13. 844622–844622. 40 indexed citations
13.
Liu, Zhiyong, Yanan Pang, Yin Jia, et al.. (2021). SNORA23 inhibits HCC tumorigenesis by impairing the 2'-O-ribose methylation level of 28S rRNA. Cancer Biology and Medicine. 18(-). 0–0. 17 indexed citations
14.
Liu, Zhiyong, Wei Li, Yanan Pang, et al.. (2018). SF3B4 is regulated by microRNA-133b and promotes cell proliferation and metastasis in hepatocellular carcinoma. EBioMedicine. 38. 57–68. 41 indexed citations
15.
Jia, Yin, et al.. (2018). Identification of long non-coding RNA and mRNA expression in βΒ2-crystallin knockout mice. Experimental and Therapeutic Medicine. 15(5). 4277–4283. 1 indexed citations
16.
Magwanga, Richard Odongo, Wenfang Gong, Shoupu He, et al.. (2018). QTL Mapping of Fiber Quality and Yield-Related Traits in an Intra-Specific Upland Cotton Using Genotype by Sequencing (GBS). International Journal of Molecular Sciences. 19(2). 441–441. 37 indexed citations
17.
Zhang, Yi, Xue Geng, Qi Zhou, et al.. (2011). Elevated levels of hypoxia‐inducible microRNA‐210 in pre‐eclampsia: new insights into molecular mechanisms for the disease. Journal of Cellular and Molecular Medicine. 16(2). 249–259. 199 indexed citations
18.
Zhang, Yi, Yin Jia, Ruiying Zheng, et al.. (2010). Plasma MicroRNA-122 as a Biomarker for Viral-, Alcohol-, and Chemical-Related Hepatic Diseases. Clinical Chemistry. 56(12). 1830–1838. 345 indexed citations
19.
Lv, Ke, Yingjun Guo, Yiliang Zhang, et al.. (2008). Allele-specific targeting of hsa-miR-657 to human IGF2R creates a potential mechanism underlying the association of ACAA-insertion/deletion polymorphism with type 2 diabetes. Biochemical and Biophysical Research Communications. 374(1). 101–105. 45 indexed citations
20.
Jia, Yin. (2007). New Algorithm for Node Selection in Hidden Layer of Wavelet Networks. Jisuanji fangzhen. 1 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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