Xinyang Hu

1.4k total citations
34 papers, 564 citations indexed

About

Xinyang Hu is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Xinyang Hu has authored 34 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Surgery and 6 papers in Immunology. Recurrent topics in Xinyang Hu's work include Cardiac Imaging and Diagnostics (3 papers), Coronary Interventions and Diagnostics (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xinyang Hu is often cited by papers focused on Cardiac Imaging and Diagnostics (3 papers), Coronary Interventions and Diagnostics (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xinyang Hu collaborates with scholars based in China, United States and Poland. Xinyang Hu's co-authors include Jianan Wang, Jiamin Li, Yibin Wang, Jianan Wang, Xianbao Liu, Meixiang Xiang, Lianlian Zhu, Yaping Wang, Yong Sun and Xianggui Yuan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Xinyang Hu

32 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinyang Hu China 11 260 105 99 90 90 34 564
Shengkai Zuo China 16 279 1.1× 74 0.7× 124 1.3× 116 1.3× 75 0.8× 30 613
Bingqing Deng China 15 306 1.2× 91 0.9× 156 1.6× 57 0.6× 68 0.8× 42 642
Gianfranca Corna Italy 13 319 1.2× 118 1.1× 124 1.3× 162 1.8× 98 1.1× 14 768
Alicia Zukas United States 9 170 0.7× 107 1.0× 116 1.2× 92 1.0× 99 1.1× 21 687
Yoshiki Higashijima Japan 14 362 1.4× 113 1.1× 46 0.5× 50 0.6× 69 0.8× 24 729
Ognoon Mungunsukh United States 15 228 0.9× 55 0.5× 81 0.8× 59 0.7× 63 0.7× 25 596
Lin Tang China 17 273 1.1× 82 0.8× 57 0.6× 74 0.8× 72 0.8× 68 675

Countries citing papers authored by Xinyang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xinyang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyang Hu. A scholar is included among the top collaborators of Xinyang Hu 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 Xinyang Hu. Xinyang Hu 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, Xianpeng, Changchen Xiao, Jiamin Li, et al.. (2025). FMO2 expression confers cardioprotection in doxorubicin therapy while preserving antitumor activity. Journal of Molecular and Cellular Cardiology. 207. 1–12.
2.
Li, Jingqiu, Xinyang Hu, Yuming Li, et al.. (2025). Deconstruct the link between gut microbiota and neurological diseases: application of Mendelian randomization analysis. Frontiers in Cellular and Infection Microbiology. 15. 1433131–1433131. 1 indexed citations
3.
Yuan, Youzhu, Lin Leng, Deguang Han, et al.. (2025). The strengths, weaknesses, opportunities, and threats of generative artificial intelligence: a qualitative study of undergraduate nursing students. Frontiers in Public Health. 13. 1672140–1672140. 1 indexed citations
4.
Li, Chengyu, Jialin He, Yafei Yin, et al.. (2024). Crosstalk between epitranscriptomic and epigenomic modifications and its implication in human diseases. Cell Genomics. 4(8). 100605–100605. 7 indexed citations
5.
Li, Jiamin, et al.. (2023). Regulated cell death pathways in cardiomyopathy. Acta Pharmacologica Sinica. 44(8). 1521–1535. 67 indexed citations
6.
Wu, Xindong, et al.. (2022). MRTF-A alleviates myocardial ischemia reperfusion injury by inhibiting the inflammatory response and inducing autophagy. Molecular and Cellular Biochemistry. 478(2). 343–359. 6 indexed citations
7.
Fang, Hui, Bangjie Chen, Jianpeng Wang, et al.. (2022). A Pan-Cancer Analysis of the Oncogenic Role of Cell Division Cycle-Associated Protein 4 (CDCA4) in Human Tumors. Frontiers in Immunology. 13. 826337–826337. 32 indexed citations
8.
Liu, Junwei, Chenyun Zhang, Xinyang Hu, et al.. (2022). High-dimensional Single-cell Analysis Delineates Peripheral Immune Signature of Coronary Atherosclerosis in Human Blood. Theranostics. 12(15). 6809–6825. 10 indexed citations
9.
Wang, Xinyi, Xin Liu, Xinyang Hu, et al.. (2022). The role of resveratrol on rheumatoid arthritis: From bench to bedside. Frontiers in Pharmacology. 13. 829677–829677. 35 indexed citations
10.
Dai, Dongjun, et al.. (2020). Prognostic analysis of very early onset pancreatic cancer: a population-based analysis. PeerJ. 8. e8412–e8412. 6 indexed citations
12.
Nan, Jinliang, Hengxun Hu, Yong Sun, et al.. (2017). TNFR2 Stimulation Promotes Mitochondrial Fusion via Stat3- and NF-kB–Dependent Activation of OPA1 Expression. Circulation Research. 121(4). 392–410. 71 indexed citations
13.
Wang, Chen, Han Chen, Wei Zhu, et al.. (2016). Nicotine Accelerates Atherosclerosis in Apolipoprotein E–Deficient Mice by Activating α7 Nicotinic Acetylcholine Receptor on Mast Cells. Arteriosclerosis Thrombosis and Vascular Biology. 37(1). 53–65. 52 indexed citations
14.
Ding, Yonghe, Pamela A. Long, J. Martijn Bos, et al.. (2016). A modifier screen identifies DNAJB6 as a cardiomyopathy susceptibility gene. JCI Insight. 1(14). 35 indexed citations
15.
Song, Wen‐Chao, Jun Jiang, Yong Sun, et al.. (2015). Fractional Flow Reserve Guided Percutaneous Coronary Intervention Improves Clinical Outcome with Reduced Cost in Contemporary Clinical Practice. Chinese Medical Journal. 128(15). 2000–2005. 6 indexed citations
16.
Wang, Yaping, Xiaohong Pan, Youqi Fan, et al.. (2015). Dysregulated expression of microRNAs and mRNAs in myocardial infarction.. PubMed. 7(11). 2291–304. 32 indexed citations
17.
Hu, Xinyang, et al.. (2015). Meta-analysis of C242T polymorphism in CYBA genes: risk of acute coronary syndrome is lower in Asians but not in Caucasians. Journal of Zhejiang University SCIENCE B. 16(5). 370–379. 17 indexed citations
18.
Wang, Lihan, et al.. (2013). Association of the CCR5Δ32 polymorphism and its ligand RANTES-403G/A polymorphism with coronary artery disease: A meta-analysis. Thrombosis Research. 131(3). e77–e84. 9 indexed citations
19.
Yuan, Xianggui, et al.. (2013). Gorham-Stout syndrome in mainland China: a case series of 67 patients and review of the literature. Journal of Zhejiang University SCIENCE B. 14(8). 729–735. 47 indexed citations
20.
Lv, Rong, et al.. (2010). Impact of Clinical Condition at Restarting Dialysis on Outcome After Kidney Allograft Loss: A Single-Center Experience. Transplantation Proceedings. 42(5). 1708–1712. 1 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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