Yanan Pu

877 total citations
19 papers, 601 citations indexed

About

Yanan Pu is a scholar working on Molecular Biology, Cancer Research and Parasitology. According to data from OpenAlex, Yanan Pu has authored 19 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Parasitology. Recurrent topics in Yanan Pu's work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (6 papers). Yanan Pu is often cited by papers focused on Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (6 papers). Yanan Pu collaborates with scholars based in China. Yanan Pu's co-authors include Liyang Dong, Xuefeng Wang, Xin Qi, Yongbin Ma, Jiameng Liu, Tingting Zheng, Chuan Su, Xiaojun Chen, Jifeng Zhu and Lei Xu and has published in prestigious journals such as European Journal of Immunology, Gene and Cell Death and Disease.

In The Last Decade

Yanan Pu

18 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanan Pu China 11 333 222 119 94 90 19 601
Jianjun Yang China 15 319 1.0× 172 0.8× 103 0.9× 138 1.5× 135 1.5× 38 726
Hongsheng Yang China 14 226 0.7× 113 0.5× 71 0.6× 87 0.9× 85 0.9× 32 503
Hidetoshi Tsushima Japan 17 246 0.7× 120 0.5× 114 1.0× 37 0.4× 84 0.9× 49 687
Xinxing Zhu China 15 513 1.5× 299 1.3× 75 0.6× 75 0.8× 60 0.7× 36 747
Subhash Haldar United States 12 274 0.8× 146 0.7× 116 1.0× 124 1.3× 200 2.2× 23 592
Zhuo Gao China 17 283 0.8× 193 0.9× 128 1.1× 63 0.7× 76 0.8× 36 588
Haining Li China 11 237 0.7× 139 0.6× 149 1.3× 110 1.2× 141 1.6× 22 482
Emilie Dassé France 8 292 0.9× 285 1.3× 79 0.7× 37 0.4× 189 2.1× 9 664
Buqing Sai China 11 524 1.6× 402 1.8× 101 0.8× 98 1.0× 168 1.9× 23 746

Countries citing papers authored by Yanan Pu

Since Specialization
Citations

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

Fields of papers citing papers by Yanan Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanan Pu

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

All Works

19 of 19 papers shown
1.
Yin, Minghao, Cheng Zhang, Haoyang Zhou, et al.. (2025). Small Extracellular Vesicles from Young Healthy Human Plasma Inhibit Cardiac Fibrosis After Myocardial Infarction via miR-664a-3p Targeting SMAD4. International Journal of Nanomedicine. Volume 20. 557–579. 3 indexed citations
2.
Li, Chunyu, Yanan Pu, Haoyang Zhou, et al.. (2024). Vericiguat enhances the therapeutic efficacy of mesenchymal stem cells-derived exosomes in acute myocardial infarction through microRNA-1180-3p/ETS1 pathway. Cellular Signalling. 125. 111512–111512. 5 indexed citations
3.
Li, Chunyu, Yanan Pu, Di Wang, et al.. (2024). MiR-522-3p Attenuates Cardiac Recovery by Targeting FOXP1 to Suppress Angiogenesis. International Heart Journal. 65(2). 300–307.
4.
Pu, Yanan, Chunyu Li, Xin Qi, et al.. (2023). Extracellular Vesicles from NMN Preconditioned Mesenchymal Stem Cells Ameliorated Myocardial Infarction via miR-210-3p Promoted Angiogenesis. Stem Cell Reviews and Reports. 19(4). 1051–1066. 18 indexed citations
5.
Qi, Xin, Yanan Pu, Liyang Dong, et al.. (2023). Schistosome egg antigen stimulates the secretion of miR-33-carrying extracellular vesicles from macrophages to promote hepatic stellate cell activation and liver fibrosis in schistosomiasis. PLoS neglected tropical diseases. 17(5). e0011385–e0011385. 5 indexed citations
6.
Zheng, Tingting, Xiaowei Xu, Xin Qi, et al.. (2022). MiR-30c-5p loss-induced PELI1 accumulation regulates cell proliferation and migration via activating PI3K/AKT pathway in papillary thyroid carcinoma. Journal of Translational Medicine. 20(1). 20–20. 32 indexed citations
7.
Ma, Cheng, Xin Qi, Yifan Wei, et al.. (2022). Amelioration of ligamentum flavum hypertrophy using umbilical cord mesenchymal stromal cell-derived extracellular vesicles. Bioactive Materials. 19. 139–154. 26 indexed citations
8.
Dong, Liyang, Ying Wang, Tingting Zheng, et al.. (2021). Hypoxic hUCMSC-derived extracellular vesicles attenuate allergic airway inflammation and airway remodeling in chronic asthma mice. Stem Cell Research & Therapy. 12(1). 156 indexed citations
9.
Wang, Junling, Xiaohong Wang, Rui Tang, et al.. (2021). Schistosome eggs stimulate reactive oxygen species production to enhance M2 macrophage differentiation and promote hepatic pathology in schistosomiasis. PLoS neglected tropical diseases. 15(8). e0009696–e0009696. 12 indexed citations
10.
Ma, Yongbin, Xin Qi, Yanan Pu, et al.. (2021). Schistosoma japonicum-derived peptide SJMHE1 promotes peripheral nerve repair through a macrophage-dependent mechanism.. American Journal of Translational Research. 13(3). 1290–1306. 7 indexed citations
11.
Dong, Liyang, Yanan Pu, Xiaojun Chen, et al.. (2020). hUCMSC-extracellular vesicles downregulated hepatic stellate cell activation and reduced liver injury in S. japonicum-infected mice. Stem Cell Research & Therapy. 11(1). 21–21. 47 indexed citations
12.
Tang, Rui, Qianqian Qi, Junling Wang, et al.. (2020). Hepatocyte CD1d protects against liver immunopathology in mice with schistosomiasis japonica. Immunology. 162(3). 328–338. 9 indexed citations
13.
Dong, Liyang, Tingting Zheng, Yanan Pu, et al.. (2019). Extracellular vesicles from human umbilical cord mesenchymal stem cells treated with siRNA against ELFN1-AS1 suppress colon adenocarcinoma proliferation and migration.. PubMed. 11(11). 6989–6999. 28 indexed citations
14.
Dong, Liyang, Yanan Pu, Qianqian Qi, et al.. (2018). Human umbilical cord mesenchymal stem cell-derived extracellular vesicles promote lung adenocarcinoma growth by transferring miR-410. Cell Death and Disease. 9(2). 218–218. 140 indexed citations
15.
Zhang, Lina, Xiao‐Fan Wang, Qianqian Qi, et al.. (2018). [Study on role of TIGIT signal in Th1/Th2 balance in Schistosoma japonicum-infected mice].. PubMed. 30(2). 136–139. 5 indexed citations
16.
Xu, Lei, Wei Li, Xiao‐Fan Wang, et al.. (2018). The IL‐33‐ST2‐MyD88 axis promotes regulatory T cell proliferation in the murine liver. European Journal of Immunology. 48(8). 1302–1307. 13 indexed citations
17.
Wang, Yue, Li Xu, Fuao Cao, et al.. (2015). RPS24 knockdown inhibits colorectal cancer cell migration and proliferation in vitro. Gene. 571(2). 286–291. 30 indexed citations
18.
Wu, Haiyan, et al.. (2015). Studies on expression of p14ARF and MDM2 in human thyroid neoplasms.. PubMed. 57(1). 43–7. 2 indexed citations
19.
Pu, Yanan, et al.. (2014). Expression features of CXCR5 and its ligand, CXCL13 associated with poor prognosis of advanced colorectal cancer.. PubMed. 18(13). 1916–24. 63 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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