Yu Jiang

1.4k total citations
86 papers, 857 citations indexed

About

Yu Jiang is a scholar working on Molecular Biology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yu Jiang has authored 86 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 20 papers in Surgery and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yu Jiang's work include Radiomics and Machine Learning in Medical Imaging (7 papers), RNA modifications and cancer (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Yu Jiang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), RNA modifications and cancer (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Yu Jiang collaborates with scholars based in China, Hong Kong and United States. Yu Jiang's co-authors include Song-Yan Liao, Si-Jia Sun, Zhe Zhen, Hung‐Fat Tse, Wing‐Hon Lai, Guoxin Li, Qizhou Lian, Rui Wei, Yanfeng Hu and Yang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Yu Jiang

79 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Jiang China 17 301 218 180 154 108 86 857
Junhyung Kim South Korea 14 321 1.1× 165 0.8× 265 1.5× 75 0.5× 59 0.5× 49 896
Zhidong Wang China 20 427 1.4× 128 0.6× 99 0.6× 102 0.7× 237 2.2× 60 1.2k
Yoshinari Nakamura Japan 14 215 0.7× 369 1.7× 107 0.6× 109 0.7× 60 0.6× 34 877
Carlos Tarín Spain 17 469 1.6× 211 1.0× 190 1.1× 59 0.4× 73 0.7× 17 1.2k
Wei Mao China 18 309 1.0× 187 0.9× 147 0.8× 232 1.5× 176 1.6× 75 1.0k
Beste M. Atasoy Türkiye 17 173 0.6× 159 0.7× 242 1.3× 161 1.0× 245 2.3× 60 945
Ryan Wong United States 18 259 0.9× 273 1.3× 193 1.1× 218 1.4× 154 1.4× 54 1.0k
Hiroshi Niiyama Japan 15 382 1.3× 235 1.1× 106 0.6× 38 0.2× 63 0.6× 30 844

Countries citing papers authored by Yu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Jiang. A scholar is included among the top collaborators of Yu Jiang 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 Yu Jiang. Yu Jiang 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.
Chen, Manman, Yuanyuan Li, Lu Qu, et al.. (2025). Association between pre-pregnancy maternal stress and small for gestational age: a population-based retrospective cohort study. BMC Medicine. 23(1). 7–7. 2 indexed citations
2.
Ran, Liuyi, Chenxing Wang, Fengming Chen, et al.. (2025). Delivery of miR-26a-5p by Subcutaneous Adipose Tissue-Derived Extracellular Vesicles Alleviates Acute Lung Injury in Mice Through CHUK/NF-κB Pathway. International Journal of Nanomedicine. Volume 20. 6001–6021. 1 indexed citations
3.
Zhong, Claire Chenwen, Junjie Huang, Zhaojun Li, et al.. (2025). Development of machine learning predictive models and risk scoring system for survival in breast cancer patients with type II diabetes: a retrospective cohort study. The Lancet Regional Health - Western Pacific. 55. 101458–101458. 1 indexed citations
4.
5.
Sun, Jie, et al.. (2024). Diagnostic value of tuberculosis-Specific antigens Ag85B, ESAT-6 and CFP10 in pulmonary tuberculosis. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 37. 100486–100486.
6.
Wang, Yongyu, Yalin Wu, Yu Jiang, et al.. (2024). Cardiomyocyte‐Specific Overexpression of Activated Yes‐Associated Protein Modified‐RNA Promotes Cardiomyocyte Proliferation and Myocardial Regeneration. Journal of the American Heart Association. 13(21). e037120–e037120. 3 indexed citations
7.
Wang, Yiyun, Xinxin Li, Hongxia Zhang, et al.. (2024). The role of dynamic interplay exists between sympathetic and parasympathetic nerve in gastric tumorigenesis (2/2024). 2(2). 2 indexed citations
8.
Liu, Dongdong, Jun Ye, Yanmin Chen, et al.. (2023). Ramulus mori (Sangzhi) alkaloids regulates gut microbiota disorder and its metabolism profiles in obese mice induced by a high-fat diet. Frontiers in Pharmacology. 14. 1166635–1166635. 13 indexed citations
9.
Wang, Weixi, Chunhua Liu, Tao Sun, et al.. (2023). Exosomal miR‐222‐3p contributes to castration‐resistant prostate cancer by activating mTOR signaling. Cancer Science. 114(11). 4252–4269. 14 indexed citations
10.
Jiang, Yu, et al.. (2022). The DeltaN p63 Promotes EMT and Metastasis in Bladder Cancer by the PTEN/AKT Signalling Pathway. Evidence-based Complementary and Alternative Medicine. 2022. 1–9. 1 indexed citations
11.
12.
Li, Hung‐Yuan, et al.. (2020). Prognostic Impact of DHRS9 Overexpression in Pancreatic Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
13.
G, Li, et al.. (2020). Hsa_circ_0046263 Drives the Carcinogenesis and Metastasis of Non-Small Cell Lung Cancer Through the Promotion of NOVA2 by Absorbing Mir-940 as a Molecular Sponge. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Zhou, Min, Rui Wei, Yu Jiang, et al.. (2020). Generation of a human iPSC line GIBHi002-A-2 with a dual-reporter for NKX2-5 using TALENs. Stem Cell Research. 50. 102120–102120. 2 indexed citations
15.
Jiang, Yu, Shi Hu, Liang Ren, et al.. (2019). Association Between Glucose Metabolism And Vascular Aging In Chinese Adults: A Cross-Sectional Analysis In The Tianning Cohort Study. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Liao, Song-Yan, Yuelin Zhang, Sherwin Ting, et al.. (2019). Potent immunomodulation and angiogenic effects of mesenchymal stem cells versus cardiomyocytes derived from pluripotent stem cells for treatment of heart failure. Stem Cell Research & Therapy. 10(1). 78–78. 58 indexed citations
17.
Li, Haigang, Yu Jiang, Yang Wang, et al.. (2018). The Effects of Warfarin on the Pharmacokinetics of Senkyunolide I in a Rat Model of Biliary Drainage After Administration of Chuanxiong. Frontiers in Pharmacology. 9. 1461–1461. 61 indexed citations
18.
Zhang, He, Yu Jiang, Yu Hong, et al.. (2017). Heparanase-1-induced shedding of heparan sulfate from syndecan-1 in hepatocarcinoma cell facilitates lymphatic endothelial cell proliferation via VEGF-C/ERK pathway. Biochemical and Biophysical Research Communications. 485(2). 432–439. 28 indexed citations
19.
Liao, Guanqun, Tao Chen, Xiaolong Qi, et al.. (2017). Laparoscopic management of gastric gastrointestinal stromal tumors: A retrospective 10-year single-center experience. World Journal of Gastroenterology. 23(19). 3522–3522. 26 indexed citations
20.
Qi, Hongyan, et al.. (1993). [Sodium channel blocking effect of scorpion venom on cultured mouse myocardiocytes].. PubMed. 14(4). 361–4. 2 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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