Xiang Yin

1.5k total citations
57 papers, 1.2k citations indexed

About

Xiang Yin is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xiang Yin has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Cancer Research and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xiang Yin's work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (12 papers) and Circular RNAs in diseases (7 papers). Xiang Yin is often cited by papers focused on MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (12 papers) and Circular RNAs in diseases (7 papers). Xiang Yin collaborates with scholars based in China, United States and India. Xiang Yin's co-authors include Yong Tang, Yachen Zhang, Qianhui Li, Zhenguo Ji, Kun Liu, Chengxing Shen, Zhizhen Ye, Yi‐Gang Li, Chao Wang and Mingyi Shang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Xiang Yin

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Yin China 22 595 361 213 159 121 57 1.2k
Tianyi Tang United States 10 471 0.8× 113 0.3× 81 0.4× 93 0.6× 60 0.5× 16 1.2k
Ya Wen China 18 338 0.6× 141 0.4× 39 0.2× 224 1.4× 41 0.3× 48 1.0k
Jin Hee Lee South Korea 18 246 0.4× 160 0.4× 28 0.1× 217 1.4× 136 1.1× 43 959
Chrishan J. A. Ramachandra Singapore 20 830 1.4× 73 0.2× 385 1.8× 146 0.9× 57 0.5× 46 1.4k
Xiaoping Jin China 12 383 0.6× 87 0.2× 65 0.3× 56 0.4× 33 0.3× 39 713

Countries citing papers authored by Xiang Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Yin. A scholar is included among the top collaborators of Xiang Yin 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 Xiang Yin. Xiang Yin 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.
Brant, Arthur, Preeti Singh, Xiang Yin, et al.. (2025). Performance of a Deep Learning Diabetic Retinopathy Algorithm in India. JAMA Network Open. 8(3). e250984–e250984. 1 indexed citations
2.
Yin, Xiang, S. L. Zang, Liang Zhai, & Siyuan Wu. (2025). Comprehensive energy collaborative planning method based on the spatial correlation of wind and solar. Engineering Research Express. 7(2). 25439–25439.
3.
Praveen, Pradeep A., Arthur Brant, Xiang Yin, et al.. (2025). Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes. Ophthalmology and Therapy. 14(5). 1147–1155. 2 indexed citations
4.
Lang, Yue, et al.. (2024). Exploring the Relationship Between Sporadic Creutzfeldt-Jakob Disease and Gut Microbiota Through a Mendelian Randomization Study. Molecular Neurobiology. 62(2). 1945–1959. 2 indexed citations
5.
Pan, Zhicheng, Hailong Yu, Yuesheng Zhang, et al.. (2024). Cypher/ZASP drives cardiomyocyte maturation via actin-mediated MRTFA-SRF signalling. Theranostics. 14(11). 4462–4480. 2 indexed citations
6.
Zhang, Yating, et al.. (2023). A bidirectional Mendelian randomization study investigating the causal role between gut microbiota and insomnia. Frontiers in Neurology. 14. 1277996–1277996. 2 indexed citations
7.
Yin, Xiang, et al.. (2023). Causal relationship between gut microbiota and myasthenia gravis: a bidirectional mendelian randomization study. Cell & Bioscience. 13(1). 204–204. 19 indexed citations
8.
Ge, Zhuowang, et al.. (2022). Long noncoding RNA NEAT1 promotes cardiac fibrosis in heart failure through increased recruitment of EZH2 to the Smad7 promoter region. Journal of Translational Medicine. 20(1). 7–7. 45 indexed citations
9.
He, Yuxian, et al.. (2022). Spinal Cord Stimulation Attenuates Neural Remodeling, Inflammation, and Fibrosis After Myocardial Infarction. Neuromodulation Technology at the Neural Interface. 26(1). 57–67. 4 indexed citations
11.
Lin, Hui, et al.. (2021). Assessment of High-Power Catheter Ablation in Patients With Atrial Fibrillation: A Meta-Analysis. Frontiers in Cardiovascular Medicine. 8. 609590–609590. 4 indexed citations
12.
Ma, Jun, Li Weng, Yiping Jia, et al.. (2020). PTBP3 promotes malignancy and hypoxia‐induced chemoresistance in pancreatic cancer cells by ATG12 up‐regulation. Journal of Cellular and Molecular Medicine. 24(5). 2917–2930. 38 indexed citations
13.
Wang, Dongfei, Juan Fang, Zhicheng Pan, et al.. (2019). Novel polymorphisms in PDLIM3 and PDLIM5 gene encoding Z ‐line proteins increase risk of idiopathic dilated cardiomyopathy. Journal of Cellular and Molecular Medicine. 23(10). 7054–7062. 24 indexed citations
14.
Ma, Jun, Li Weng, Zhongmin Wang, et al.. (2018). MiR-124 induces autophagy-related cell death in cholangiocarcinoma cells through direct targeting of the EZH2–STAT3 signaling axis. Experimental Cell Research. 366(2). 103–113. 36 indexed citations
15.
Weng, Li, Jun Ma, Yiping Jia, et al.. (2018). MiR-4262 promotes cell apoptosis and inhibits proliferation of colon cancer cells: involvement of GALNT4.. PubMed. 10(12). 3969–3977. 23 indexed citations
16.
Chen, Yi-He, Zhao‐Yang Lu, Xiang Yin, et al.. (2017). Cryoablation vs. radiofrequency ablation for treatment of paroxysmal atrial fibrillation: a systematic review and meta-analysis. EP Europace. 19(5). 784–794. 44 indexed citations
17.
Li, Qianhui, et al.. (2017). Ginsenoside Rg1 Protects Cardiomyocytes Against Hypoxia/Reoxygenation Injury via Activation of Nrf2/HO-1 Signaling and Inhibition of JNK. Cellular Physiology and Biochemistry. 44(1). 21–37. 87 indexed citations
18.
Li, Yanyan, Xiang Yin, Song Zhang, et al.. (2017). Thioredoxin-2 protects against oxygen-glucose deprivation/reperfusion injury by inhibiting autophagy and apoptosis in H9c2 cardiomyocytes.. PubMed. 9(3). 1471–1482. 30 indexed citations
19.
Guo, Xiaogang, Jie Ding, Hui Xu, et al.. (2014). Comprehensive Assessment of the Association of WNK4 Polymorphisms with Hypertension: Evidence from a Meta-Analysis. Scientific Reports. 4(1). 6507–6507. 8 indexed citations
20.
Ding, Jie, Hui Xu, Xiang Yin, et al.. (2014). Estrogen receptor α gene PvuII polymorphism and coronary artery disease: a meta-analysis of 21 studies. Journal of Zhejiang University SCIENCE B. 15(3). 243–255. 15 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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