Jiawen Wu

836 total citations · 1 hit paper
23 papers, 589 citations indexed

About

Jiawen Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, Jiawen Wu has authored 23 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Cell Biology. Recurrent topics in Jiawen Wu's work include Extracellular vesicles in disease (3 papers), Retinal Development and Disorders (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Jiawen Wu is often cited by papers focused on Extracellular vesicles in disease (3 papers), Retinal Development and Disorders (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Jiawen Wu collaborates with scholars based in China and United States. Jiawen Wu's co-authors include Xiubao Ren, Xiaojing Liu, Xuxiang Liu, Juan Liu, Wei Yan, Donald Pizzo, Andrew R. Chin, Shizhen Emily Wang, Miranda Fong and Oluwole Fadare and has published in prestigious journals such as Nature Cell Biology, The FASEB Journal and Cell Death and Disease.

In The Last Decade

Jiawen Wu

20 papers receiving 584 citations

Hit Papers

Cancer-cell-secreted exosomal miR-105 promotes tumour gro... 2018 2026 2020 2023 2018 100 200 300
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.

  1. Cancer-cell-secreted exosomal miR-105 promotes tumour growth through the MYC-dependent metabolic reprogramming of stromal cells
    2018 357 citations Wei Yan, Xiwei Wu et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiawen Wu China 7 462 309 64 53 52 23 589
Danyang Shen China 13 510 1.1× 342 1.1× 50 0.8× 57 1.1× 53 1.0× 30 677
Shuo Miao China 12 232 0.5× 122 0.4× 61 1.0× 38 0.7× 66 1.3× 24 410
Pengcheng Li China 9 359 0.8× 194 0.6× 44 0.7× 31 0.6× 43 0.8× 23 478
Yeting Hong China 13 499 1.1× 400 1.3× 51 0.8× 35 0.7× 45 0.9× 23 631
Mai A. Abd‐Elmawla Egypt 17 453 1.0× 437 1.4× 70 1.1× 17 0.3× 50 1.0× 58 711
Ye Kuang China 14 406 0.9× 205 0.7× 72 1.1× 15 0.3× 70 1.3× 27 603

Countries citing papers authored by Jiawen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiawen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiawen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiawen Wu. A scholar is included among the top collaborators of Jiawen 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 Jiawen Wu. Jiawen Wu 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.
Wu, Jiawen, et al.. (2025). Longitudinal scRNA-seq of retinal organoids derived from Stargardt disease patient with ABCA4 mutation. Scientific Data. 12(1). 878–878. 1 indexed citations
2.
He, Huan, Youtao Xu, Xinru Chen, et al.. (2025). Carboxymethyl chitosan oligosaccharide prevents the progression of chronic kidney disease as a Nrf2-dependent apoptosis inhibitor. Carbohydrate Polymer Technologies and Applications. 9. 100728–100728. 1 indexed citations
3.
Liu, Xubing, Fangyuan Hu, Jianquan He, et al.. (2024). Whole genome sequencing enables new genetic diagnosis for inherited retinal diseases by identifying pathogenic variants. npj Genomic Medicine. 9(1). 6–6. 16 indexed citations
4.
Wu, Jiawen, et al.. (2024). Performance Analysis of Zero-Knowledge Proofs. 144–155. 1 indexed citations
5.
6.
Wu, Jiawen, et al.. (2023). Analysis of Hormone Regulation on Seed Germination of Coix Based on Muli-Omics Analysis. Plants. 12(14). 2700–2700. 3 indexed citations
7.
Ren, Ping, Min Chen, Qiankun Liu, et al.. (2023). Gga-let-7a-3p inhibits the proliferation and differentiation of chicken intramuscular preadipocytes. British Poultry Science. 65(1). 34–43. 3 indexed citations
8.
Guo, Zhuifeng, Fan Yang, Liang Qin, et al.. (2022). Docetaxel chemotherapy plus androgen-deprivation therapy in high-volume disease metastatic hormone-sensitive prostate cancer in Chinese patients: an efficacy and safety analysis. European journal of medical research. 27(1). 148–148. 3 indexed citations
9.
Shi, Xiujuan, Jieping Zhang, Chen Zhang, et al.. (2021). Comprehensive Analyses of the Expression, Genetic Alteration, Prognosis Significance, and Interaction Networks of m6A Regulators Across Human Cancers. Frontiers in Genetics. 12. 771853–771853. 5 indexed citations
10.
Liu, Wenju, Junwei Shen, Yanfei Li, et al.. (2021). Pyroptosis inhibition improves the symptom of acute myocardial infarction. Cell Death and Disease. 12(10). 852–852. 62 indexed citations
11.
Yang, Ning, Jiawen Wu, Tiancheng Zhang, et al.. (2021). Clinical Evaluation of FOXO1 as a Tumor Suppressor in Prostate Cancer. Computational and Mathematical Methods in Medicine. 2021. 1–8. 4 indexed citations
12.
Wen, Xizhi, Leyi Yao, Zhenlong Shao, et al.. (2021). Bilirubin Restrains the Anticancer Effect of Vemurafenib on BRAF-Mutant Melanoma Cells Through ERK-MNK1 Signaling. Frontiers in Oncology. 11. 698888–698888. 3 indexed citations
13.
Wu, Jiawen, Jinghong Chen, Juan Chen, et al.. (2021). Cullin 2‐RBX1 E3 ligase and USP2 regulate antithrombin ubiquitination and stability. The FASEB Journal. 35(8). e21800–e21800. 6 indexed citations
14.
He, Chang, Fan Yang, Zhuifeng Guo, et al.. (2021). Denonvilliers’ fascia acts as the fulcrum and hammock for continence after radical prostatectomy. BMC Urology. 21(1). 176–176. 3 indexed citations
15.
Guo, Zhuifeng, et al.. (2021). Significance of the prostate central gland and total gland volume ratio in the diagnosis of prostate cancer patients in the prostate specific antigen grey zone. Journal of International Medical Research. 49(7). 3619080807–3619080807. 1 indexed citations
16.
17.
Wu, Jiawen, et al.. (2019). Epigallocatechin-3-gallate inhibits angiotensin II-induced cardiomyocyte hypertrophy via regulating Hippo signaling pathway in H9c2 rat cardiomyocytes. Acta Biochimica et Biophysica Sinica. 51(4). 422–430. 21 indexed citations
18.
Yan, Wei, Xiwei Wu, Weiying Zhou, et al.. (2018). Cancer-cell-secreted exosomal miR-105 promotes tumour growth through the MYC-dependent metabolic reprogramming of stromal cells. Nature Cell Biology. 20(5). 597–609. 357 indexed citations breakdown →
19.
Wu, Jiawen, Hong Sun, Jia Huo, Yuan Wang, & Jing Li. (2016). Screening and analysis of anti-A431 cell proliferative fraction of Euphorbia fischeriana Steud. extract. Biomedical Research-tokyo. 27(4). 1231–1236. 1 indexed citations
20.

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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