Jinxiang Yuan

1.4k total citations · 2 hit papers
43 papers, 799 citations indexed

About

Jinxiang Yuan is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Jinxiang Yuan has authored 43 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Jinxiang Yuan's work include Mitochondrial Function and Pathology (7 papers), Cancer-related molecular mechanisms research (5 papers) and Adipose Tissue and Metabolism (5 papers). Jinxiang Yuan is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Cancer-related molecular mechanisms research (5 papers) and Adipose Tissue and Metabolism (5 papers). Jinxiang Yuan collaborates with scholars based in China, United States and Canada. Jinxiang Yuan's co-authors include Rubin Tan, Fei Gao, Shijun Wang, Jian Wu, Jeffery L. Meier, Hui Meng, Meng Zhang, Qian Liu, Xin Liu and Zhao‐Yuan Hu and has published in prestigious journals such as PLoS ONE, Journal of Virology and Free Radical Biology and Medicine.

In The Last Decade

Jinxiang Yuan

42 papers receiving 789 citations

Hit Papers

Ischemia-reperfusion injury: molecular mechanisms and the... 2024 2026 2025 2024 2025 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinxiang Yuan China 14 290 173 112 96 80 43 799
Huilan Wang China 17 292 1.0× 84 0.5× 110 1.0× 70 0.7× 57 0.7× 60 722
Hua Yuan China 10 323 1.1× 378 2.2× 52 0.5× 70 0.7× 40 0.5× 32 791
Carlton L. Schwab United States 22 316 1.1× 134 0.8× 303 2.7× 169 1.8× 25 0.3× 43 1.1k
Matthew J. Kan United States 13 312 1.1× 88 0.5× 477 4.3× 142 1.5× 98 1.2× 16 1.1k
Lijing Zhu China 16 206 0.7× 75 0.4× 143 1.3× 60 0.6× 14 0.2× 49 816
Carolina Sellitto Italy 7 388 1.3× 125 0.7× 376 3.4× 47 0.5× 37 0.5× 8 976
Jeff Chang United States 12 226 0.8× 167 1.0× 75 0.7× 33 0.3× 90 1.1× 34 711
Fernando Martínez Spain 17 469 1.6× 47 0.3× 169 1.5× 33 0.3× 52 0.7× 27 928
Bin Lei China 16 472 1.6× 54 0.3× 75 0.7× 71 0.7× 46 0.6× 32 749

Countries citing papers authored by Jinxiang Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jinxiang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinxiang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinxiang Yuan. A scholar is included among the top collaborators of Jinxiang Yuan 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 Jinxiang Yuan. Jinxiang Yuan 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.
Meng, Kai, Hongyun Jia, Ying Lu, et al.. (2025). Mitochondrial Dysfunction in Neurodegenerative Diseases: Mechanisms and Corresponding Therapeutic Strategies. Biomedicines. 13(2). 327–327. 19 indexed citations breakdown →
2.
Adu‐Amankwaah, Joseph, Xinying Liu, Jiayi Jiang, et al.. (2025). Pulmonary Hypertension: Molecular Mechanisms and Clinical Studies. MedComm. 6(3). e70134–e70134. 5 indexed citations
3.
Meng, Kai, Wenjie Qin, Mingchao Jiang, et al.. (2024). Mechanism of mitochondrial oxidative phosphorylation disorder in male infertility. Chinese Medical Journal. 138(4). 379–388. 8 indexed citations
4.
Adu‐Amankwaah, Joseph, et al.. (2024). Decoding long non‑coding RNAs: Friends and foes in cancer development (Review). International Journal of Oncology. 64(6). 2 indexed citations
5.
Wang, Qing, Jinxiang Yuan, Hua Shen, et al.. (2024). Calpain inhibition protects against atrial fibrillation by mitigating diabetes-associated atrial fibrosis and calcium handling dysfunction in type 2 diabetes mice. Heart Rhythm. 21(7). 1143–1151. 1 indexed citations
6.
Feng, Han‐Zhong, et al.. (2024). Biomechanical evaluation of flash-frozen and cryo-sectioned papillary muscle samples by using sinusoidal analysis: cross-bridge kinetics and the effect of partial Ca2+ activation. Journal of Muscle Research and Cell Motility. 45(3). 95–113. 1 indexed citations
7.
Wang, Xiaomei, et al.. (2024). Mitochondrial Quality Control in Ovarian Function: From Mechanisms to Therapeutic Strategies. Reproductive Sciences. 32(5). 1399–1413. 3 indexed citations
8.
Adu‐Amankwaah, Joseph, et al.. (2024). Long non-coding RNAs in drug resistance across the top five cancers: Update on their roles and mechanisms. Heliyon. 10(5). e27207–e27207. 7 indexed citations
9.
He, Sijia, et al.. (2023). The Role of Regulatory Cell Death in Vitiligo. DNA and Cell Biology. 43(2). 61–73. 3 indexed citations
11.
Wang, Xiaomei, Yixin Zhang, Yuxin Liu, et al.. (2023). Molecular mechanism of Wilms’ tumor (Wt1) (+/−KTS) variants promoting proliferation and migration of ovarian epithelial cells by bioinformatics analysis. Journal of Ovarian Research. 16(1). 46–46. 3 indexed citations
12.
Wang, Haiying, Ran Zhang, Yafen Chen, et al.. (2022). Programmed Exercise Attenuates Familial Hypertrophic Cardiomyopathy in Transgenic E22K Mice via Inhibition of PKC-α/NFAT Pathway. Frontiers in Cardiovascular Medicine. 9. 808163–808163. 5 indexed citations
13.
Fang, Hui, Yiming Zhang, Joseph Adu‐Amankwaah, et al.. (2022). Applications and challenges of rhodopsin-based optogenetics in biomedicine. Frontiers in Neuroscience. 16. 966772–966772. 14 indexed citations
14.
Tan, Rubin, Jie Cui, Mingming Wang, et al.. (2022). Sodium houttuyfonate against cardiac fibrosis attenuates isoproterenol-induced heart failure by binding to MMP2 and p38. Phytomedicine. 109. 154590–154590. 8 indexed citations
15.
Wang, Qing, Jing Wang, Pei Wang, et al.. (2019). Glycemic control is associated with atrial structural remodeling in patients with type 2 diabetes. BMC Cardiovascular Disorders. 19(1). 278–278. 13 indexed citations
17.
Yuan, Jinxiang, Yanhe Lue, Xuan Jin, et al.. (2006). Expression of Orphan Receptors TR2, TR3, TR4, and p53 in Heat‐Treated Testis of Cynomolgus Monkeys (Macaca fascicularis). Journal of Andrology. 27(3). 405–413. 9 indexed citations
18.
Xiao, Lijuan, et al.. (2005). Extracellular Ca2+-sensing receptor expression and hormonal regulation in rat uterus during the peri-implantation period. Reproduction. 129(6). 779–788. 12 indexed citations
19.
Jin, Xuan, Chunsheng Han, Xuesen Zhang, et al.. (2004). Signal transduction of stem cell factor in promoting early follicle development. Molecular and Cellular Endocrinology. 229(1-2). 3–10. 25 indexed citations
20.
Hou, Yi, Wei Ma, Jinxiang Yuan, et al.. (2004). Localization of CD9 in pig oocytes and its effects on sperm–egg interaction. Reproduction. 127(2). 151–157. 40 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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