Weiru Wu

536 total citations · 1 hit paper
16 papers, 396 citations indexed

About

Weiru Wu is a scholar working on Molecular Biology, Hematology and Epidemiology. According to data from OpenAlex, Weiru Wu has authored 16 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Epidemiology. Recurrent topics in Weiru Wu's work include Acute Myeloid Leukemia Research (2 papers), Pluripotent Stem Cells Research (2 papers) and Muscle Physiology and Disorders (2 papers). Weiru Wu is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Pluripotent Stem Cells Research (2 papers) and Muscle Physiology and Disorders (2 papers). Weiru Wu collaborates with scholars based in China, United Kingdom and United States. Weiru Wu's co-authors include Zhe Chen, Yu Hou, Weike Si, Jing Pan, Chen Zhao, Yongxiu Huang, Lei Li, Zhilong Liu, Guanbin Song and Jieping Chen and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Weiru Wu

15 papers receiving 394 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nynrin preserves hematopoietic stem cell function by inhibiting the mitochondrial permeability transition pore opening

2024 49 citations Chengfang Zhou, Tao Yin et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiru Wu China	11	252	52	51	48	44	16	396
Elizabeth H. Gray United Kingdom	8	168 0.7×	38 0.7×	108 2.1×	102 2.1×	58 1.3×	10	437
Alyssa Gagne United States	11	243 1.0×	18 0.3×	23 0.5×	63 1.3×	32 0.7×	28	369
Marcelo Marcet‐Palacios Canada	10	141 0.6×	41 0.8×	135 2.6×	22 0.5×	33 0.8×	20	359
Susan Chun United States	5	147 0.6×	72 1.4×	52 1.0×	54 1.1×	19 0.4×	9	433
David S. Davis Australia	5	122 0.5×	25 0.5×	62 1.2×	44 0.9×	16 0.4×	7	337
Kévin Le Brigand France	9	306 1.2×	42 0.8×	59 1.2×	48 1.0×	11 0.3×	10	498
Hirotaka Tomiyasu Japan	13	221 0.9×	35 0.7×	102 2.0×	22 0.5×	28 0.6×	77	609
Chan‐Eng Chong Malaysia	8	169 0.7×	40 0.8×	42 0.8×	47 1.0×	10 0.2×	11	361
Daigo Azakami Japan	12	148 0.6×	47 0.9×	64 1.3×	29 0.6×	14 0.3×	61	494
Guojing Luo China	12	222 0.9×	38 0.7×	88 1.7×	23 0.5×	12 0.3×	16	439

Countries citing papers authored by Weiru Wu

Since Specialization

Citations

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

Fields of papers citing papers by Weiru Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiru Wu

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

All Works

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16 of 16 papers shown

Li, Lei, Yan Li, Yuxin Xie, et al.. (2025). EMP1 safeguards hematopoietic stem cells by suppressing sphingolipid metabolism and alleviating endoplasmic reticulum stress. Nature Communications. 16(1). 6247–6247.

Peng, Hongyan, Yongjie Liu, Peiwen Xiong, et al.. (2024). The ω-3 Polyunsaturated Fatty Acid Docosahexaenoic Acid Enhances NK-Cell Antitumor Effector Functions. Cancer Immunology Research. 12(6). 744–758. 13 indexed citations

Zhou, Chengfang, Tao Yin, Jianming Wang, et al.. (2024). Nynrin preserves hematopoietic stem cell function by inhibiting the mitochondrial permeability transition pore opening. Cell stem cell. 31(9). 1359–1375.e8. 49 indexed citations breakdown →

Li, Zhigang, Wei Wang, Changlin Zhen, et al.. (2024). Essential role of Dhx16-mediated ribosome assembly in maintenance of hematopoietic stem cells. Leukemia. 38(12). 2699–2708. 23 indexed citations

Chen, Zhe, Dawei Huo, Lei Li, et al.. (2021). Nuclear DEK preserves hematopoietic stem cells potential via NCoR1/HDAC3-Akt1/2-mTOR axis. The Journal of Experimental Medicine. 218(5). 31 indexed citations

Zhou, Chengfang, Zhilong Liu, Zhe Chen, et al.. (2021). Insufficiency of FZR1 disturbs HSC quiescence by inhibiting ubiquitin-dependent degradation of RUNX1 in aplastic anemia. Leukemia. 36(3). 834–846. 6 indexed citations

Li, Zhigang, Xuemei Fu, Weiru Wu, et al.. (2021). Zfp521 is essential for the quiescence and maintenance of adult hematopoietic stem cells under stress. iScience. 24(2). 102039–102039. 6 indexed citations

Jing, Haiming, Xiaoli Zhang, Jintao Zou, et al.. (2020). Oligomerization of IC43 resulted in improved immunogenicity and protective efficacy against Pseudomonas aeruginosa lung infection. International Journal of Biological Macromolecules. 159. 174–182. 10 indexed citations

Chen, Zhe, Lei Li, Shuangnian Xu, et al.. (2020). A Cdh1–FoxM1–Apc axis controls muscle development and regeneration. Cell Death and Disease. 11(3). 180–180. 26 indexed citations

10.

Chen, Zhe, Lei Li, Weiru Wu, et al.. (2020). Exercise protects proliferative muscle satellite cells against exhaustion via the Igfbp7-Akt-mTOR axis. Theranostics. 10(14). 6448–6466. 63 indexed citations

11.

Zhang, Xiaoli, Feng Yang, Jintao Zou, et al.. (2018). Immunization with Pseudomonas aeruginosa outer membrane vesicles stimulates protective immunity in mice. Vaccine. 36(8). 1047–1054. 61 indexed citations

12.

Li, Zhiqiang, Weiru Wu, Chen Zhao, et al.. (2017). CCN1/Cyr61 enhances the function of hepatic stellate cells in promoting the progression of hepatocellular carcinoma. International Journal of Molecular Medicine. 41(3). 1518–1528. 26 indexed citations

13.

Zhang, Xiaoli, Jinyong Zhang, Feng Yang, et al.. (2015). Immunization with Heat Shock Protein A and γ-Glutamyl Transpeptidase Induces Reduction on the Helicobacter pylori Colonization in Mice. PLoS ONE. 10(6). e0130391–e0130391. 20 indexed citations

14.

Niu, Changchun, Chen Zhao, Xiaoli Zhang, et al.. (2013). Wnt5a enhances the response of CML cells to Imatinib Mesylate through JNK activation and γ-catenin inhibition. Leukemia Research. 37(11). 1532–1537. 9 indexed citations

15.

Li, Zhiqiang, Wei Ding, Jun Li, et al.. (2012). Cyr61/CCN1 Is Regulated by Wnt/β-Catenin Signaling and Plays an Important Role in the Progression of Hepatocellular Carcinoma. PLoS ONE. 7(4). e35754–e35754. 44 indexed citations

16.

Niu, Changchun, Chen Zhao, Zhen‐Dong Yang, et al.. (2012). Downregulation of γ-catenin inhibits CML cell growth and potentiates the response of CML cells to imatinib through β-catenin inhibition. International Journal of Molecular Medicine. 31(2). 453–458. 9 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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