Yina Jiang

953 total citations
39 papers, 637 citations indexed

About

Yina Jiang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yina Jiang has authored 39 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Yina Jiang's work include Wnt/β-catenin signaling in development and cancer (4 papers), Microtubule and mitosis dynamics (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Yina Jiang is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (4 papers), Microtubule and mitosis dynamics (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Yina Jiang collaborates with scholars based in China, United States and Pakistan. Yina Jiang's co-authors include Juan Li, Peijun Liu, Zheyong Liang, Pingping Li, Peijun Liu, Jie Liu, Can Zhou, Yu Ren, Bo Wang and Xuan Guan and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Investigation and Bioinformatics.

In The Last Decade

Yina Jiang

35 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yina Jiang China 14 367 157 155 117 76 39 637
Song Zhao China 16 459 1.3× 216 1.4× 143 0.9× 59 0.5× 119 1.6× 31 734
Florian Rouaud Switzerland 14 394 1.1× 100 0.6× 139 0.9× 142 1.2× 46 0.6× 19 630
Alisha M. Mendonsa United States 7 478 1.3× 227 1.4× 268 1.7× 138 1.2× 89 1.2× 8 865
Álvaro Gutiérrez-Uzquiza Spain 14 440 1.2× 101 0.6× 167 1.1× 108 0.9× 80 1.1× 35 736
Stanley Borowicz United States 7 506 1.4× 182 1.2× 207 1.3× 64 0.5× 63 0.8× 14 768
Yeonhwa Song South Korea 16 343 0.9× 184 1.2× 297 1.9× 62 0.5× 60 0.8× 25 699
Justine Bellier Belgium 11 270 0.7× 159 1.0× 211 1.4× 48 0.4× 55 0.7× 11 632
И. В. Кондакова Russia 15 378 1.0× 151 1.0× 129 0.8× 105 0.9× 55 0.7× 108 616
Xiaoqian Jing China 19 442 1.2× 221 1.4× 185 1.2× 72 0.6× 94 1.2× 32 680
Yuanhua Liu China 13 497 1.4× 255 1.6× 251 1.6× 55 0.5× 59 0.8× 19 692

Countries citing papers authored by Yina Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yina Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yina Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yina Jiang. A scholar is included among the top collaborators of Yina 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 Yina Jiang. Yina 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.
2.
Jiang, Yina, et al.. (2025). Ag@Au@4-NPH@ZIF-8 based nucleophilic addition strategy for SERS detection of gaseous acetone. Chemical Engineering Journal. 522. 167880–167880.
3.
Jiang, Yina, Mathias Dimde, Katharina Achazi, et al.. (2025). Modular Synthesis of Dendritic Oligo‐Glycerol Cationic Surfactants for Enhanced Antibacterial Efficacy. Angewandte Chemie International Edition. 64(22). e202425069–e202425069. 1 indexed citations
4.
Zhang, Miao, Ruiqi Wang, He Chen, et al.. (2025). EIF4A3 Promotes Cell Proliferation via CDC5L Upregulation in Human Breast Cancer Cells. Journal of Cancer. 16(6). 1958–1970.
5.
Wang, Yu, Tao Wu, Yuan Cheng, et al.. (2025). TNMpBC-NeoBCSS model: a breast cancer specific survival prediction model for triple-negative metaplastic breast carcinoma patients with neoadjuvant therapy. Scientific Reports. 15(1). 8351–8351. 1 indexed citations
6.
Chen, Qiaoying, Yina Jiang, Xuan Guan, et al.. (2024). Aerobic Exercise Attenuates Pressure Overload–Induced Myocardial Remodeling and Myocardial Inflammation via Upregulating miR-574-3p in Mice. Circulation Heart Failure. 17(3). e010569–e010569. 12 indexed citations
7.
Wang, Chunyan, Gen Li, Jianguo Cui, et al.. (2024). The Efficient and Sensitive Detection of Serum Dopamine Based on a MOF-199/Ag@Au Composite SERS Sensing Structure. Chemosensors. 12(9). 187–187. 5 indexed citations
8.
Wang, Bo, Zheyong Liang, Tan Tan, et al.. (2023). CRB3 navigates Rab11 trafficking vesicles to promote γTuRC assembly during ciliogenesis. eLife. 12. 1 indexed citations
9.
Wang, Bo, Zheyong Liang, Tan Tan, et al.. (2023). CRB3 navigates Rab11 trafficking vesicles to promote γTuRC assembly during ciliogenesis. eLife. 12. 2 indexed citations
10.
Zhao, Lin, Yina Jiang, Xuan Guan, et al.. (2022). Cardiac-Specific Overexpression of Caveolin-1 in Rats With Ischemic Cardiomyopathy Improves Arrhythmogenicity and Cardiac Remodelling. Canadian Journal of Cardiology. 39(1). 73–86. 6 indexed citations
11.
Jin, Jiabin, Yina Jiang, Yinying Wu, et al.. (2022). Development and external validation of a dynamic nomogram to predict the survival for adenosquamous carcinoma of the pancreas. Frontiers in Oncology. 12. 927107–927107. 11 indexed citations
12.
Ren, Fangfang, et al.. (2021). Dapagliflozin attenuates pressure overload-induced myocardial remodeling in mice via activating SIRT1 and inhibiting endoplasmic reticulum stress. Acta Pharmacologica Sinica. 43(7). 1721–1732. 51 indexed citations
13.
Liu, Jie, Juan Li, Pingping Li, et al.. (2018). DLG5 suppresses breast cancer stem cell‐like characteristics to restore tamoxifen sensitivity by inhibiting TAZ expression. Journal of Cellular and Molecular Medicine. 23(1). 512–521. 30 indexed citations
14.
Li, Pingping, Cheng Feng, He Chen, et al.. (2018). ElevatedCRB3 expression suppresses breast cancer stemness by inhibiting β‐catenin signalling to restore tamoxifen sensitivity. Journal of Cellular and Molecular Medicine. 22(7). 3423–3433. 18 indexed citations
15.
Liu, Yang, Jian Zhang, Yuhui Zhou, et al.. (2018). Activation of the IL-6/JAK2/STAT3 pathway induces plasma cell mastitis in mice. Cytokine. 110. 150–158. 32 indexed citations
16.
Mao, Xiaona, Pingping Li, Yaochun Wang, et al.. (2017). CRB3 regulates contact inhibition by activating the Hippo pathway in mammary epithelial cells. Cell Death and Disease. 8(1). e2546–e2546. 36 indexed citations
17.
Qu, Kai, Zhixin Wang, Haining Fan, et al.. (2017). MCM7 promotes cancer progression through cyclin D1-dependent signaling and serves as a prognostic marker for patients with hepatocellular carcinoma. Cell Death and Disease. 8(2). e2603–e2603. 90 indexed citations
18.
Liu, Jie, Juan Li, Pingping Li, et al.. (2017). Loss of DLG5 promotes breast cancer malignancy by inhibiting the Hippo signaling pathway. Scientific Reports. 7(1). 42125–42125. 51 indexed citations
19.
Zhou, Heng, Wei Xue, Shifeng Chu, et al.. (2016). Polygalasaponin XXXII, a triterpenoid saponin from Polygalae Radix, attenuates scopolamine-induced cognitive impairments in mice. Acta Pharmacologica Sinica. 37(8). 1045–1053. 22 indexed citations
20.
Zhao, Ying‐Zheng, Kaili Mao, Furong Tian, et al.. (2015). Gelatin nanoparticle-mediated intranasal delivery of substance P protects against 6-hydroxydopamine-induced apoptosis: an in vitro and in vivo study. Drug Design Development and Therapy. 9. 1955–1955. 13 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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