Jinyu Wu

400 total citations
12 papers, 293 citations indexed

About

Jinyu Wu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jinyu Wu has authored 12 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jinyu Wu's work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (2 papers). Jinyu Wu is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (2 papers). Jinyu Wu collaborates with scholars based in China, United States and India. Jinyu Wu's co-authors include Fangqing Zhao, Zhou Linglin, Huabin Hou, Xiaokun Li, Zhongsheng Sun, Gang Xu, Gang Xu, Binghua Chen, Zhong Sheng Sun and Zhihua Tao and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Jinyu Wu

12 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinyu Wu China 7 197 154 56 28 23 12 293
Jakub Kochan Poland 10 225 1.1× 87 0.6× 35 0.6× 53 1.9× 49 2.1× 22 303
Chenglai Dong China 7 401 2.0× 260 1.7× 53 0.9× 79 2.8× 51 2.2× 10 482
Ingrid Lilienthal Sweden 5 278 1.4× 84 0.5× 65 1.2× 54 1.9× 34 1.5× 9 371
Xiqi Peng China 13 270 1.4× 227 1.5× 71 1.3× 36 1.3× 15 0.7× 28 432
Gabriel L. Butterfield United States 5 226 1.1× 44 0.3× 31 0.6× 149 5.3× 6 0.3× 7 369
Kaiqing Wu China 4 332 1.7× 208 1.4× 47 0.8× 76 2.7× 46 2.0× 4 399
Michael Krouse United States 4 249 1.3× 191 1.2× 78 1.4× 9 0.3× 27 1.2× 5 402
Xiaojie Cai China 8 181 0.9× 118 0.8× 18 0.3× 34 1.2× 75 3.3× 17 316
Chen Kuisheng China 12 265 1.3× 145 0.9× 34 0.6× 57 2.0× 16 0.7× 22 328
В И Евтушенко Russia 6 343 1.7× 215 1.4× 32 0.6× 34 1.2× 25 1.1× 19 390

Countries citing papers authored by Jinyu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinyu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Wu

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

All Works

12 of 12 papers shown
1.
Wang, Ke, Xiao Lv, Meili Xie, et al.. (2025). Nanozyme-based aptasensors for the detection of tumor biomarkers. Journal of Biological Engineering. 19(1). 13–13. 7 indexed citations
2.
Yang, Junwei, et al.. (2024). Development of insomnia in patients with stroke: A systematic review and meta-analysis. PLoS ONE. 19(4). e0297941–e0297941. 1 indexed citations
3.
Li, Keming, Zhuo Han, Jinyu Wu, et al.. (2022). The Relationship between MALAT1 Polymorphism rs3200401 C > T and the Risk of Overall Cancer: A Meta-Analysis. Medicina. 58(2). 176–176. 5 indexed citations
4.
Yaraki, Mohammad Tavakkoli, et al.. (2021). Bioinspired micro/nanomotors towards a self-propelled noninvasive diagnosis and treatment of cancer. Molecular Systems Design & Engineering. 6(8). 566–593. 26 indexed citations
5.
Ye, Hua, Tiandong Li, Hua Wang, et al.. (2021). TSPAN1, TMPRSS4, SDR16C5, and CTSE as Novel Panel for Pancreatic Cancer: A Bioinformatics Analysis and Experiments Validation. Frontiers in Immunology. 12. 649551–649551. 26 indexed citations
6.
Han, Zhuo, Keming Li, Jinyu Wu, et al.. (2021). Diagnostic Value of Rna for Hepatocellular Carcinoma: A Network Meta-Analysis. Biomarkers in Medicine. 15(18). 1755–1767. 6 indexed citations
7.
Wu, Jinyu, Peng Wang, Zhuo Han, et al.. (2021). A novel immunodiagnosis panel for hepatocellular carcinoma based on bioinformatics and the autoantibody‐antigen system. Cancer Science. 113(2). 411–422. 20 indexed citations
8.
9.
Liang, Jian, et al.. (2017). miRNAs in Prediction of Prognosis in Clear Cell Renal Cell Carcinoma. BioMed Research International. 2017. 1–6. 26 indexed citations
10.
Wu, Jinyu, et al.. (2014). Analysis of signaling pathways in recurrent breast cancer. Genetics and Molecular Research. 13(4). 10097–10104. 5 indexed citations
11.
Xu, Gang, Jinyu Wu, Zhou Linglin, et al.. (2010). Characterization of the Small RNA Transcriptomes of Androgen Dependent and Independent Prostate Cancer Cell Line by Deep Sequencing. PLoS ONE. 5(11). e15519–e15519. 67 indexed citations
12.
Zhao, Fangqing, Gang Xu, Huabin Hou, et al.. (2010). mirTools: microRNA profiling and discovery based on high-throughput sequencing. Nucleic Acids Research. 38(suppl_2). W392–W397. 99 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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