Yang Xiang

4.2k total citations · 1 hit paper
99 papers, 3.1k citations indexed

About

Yang Xiang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Yang Xiang has authored 99 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 18 papers in Cancer Research and 11 papers in Surgery. Recurrent topics in Yang Xiang's work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (9 papers) and Cancer-related gene regulation (8 papers). Yang Xiang is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (9 papers) and Cancer-related gene regulation (8 papers). Yang Xiang collaborates with scholars based in China, United States and Canada. Yang Xiang's co-authors include Charlie Degui Chen, Ziqi Zhu, Hanqing Lin, Gang Han, Yang Shi, Benoît Laurent, Yun Zhang, Longyong Xu, Chuanyun Xu and Zhike Lu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yang Xiang

92 papers receiving 3.1k citations

Hit Papers

RNA m6A methylation regulates the ultraviolet-induced DNA... 2017 2026 2020 2023 2017 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RNA m6A methylation regulates the ultraviolet-induced DNA damage response
    2017 683 citations Yang Xiang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Xiang China 25 2.2k 614 324 218 204 99 3.1k
Jiang Chang United States 30 1.8k 0.8× 557 0.9× 152 0.5× 247 1.1× 147 0.7× 67 2.5k
Xiaodong Sun China 30 1.6k 0.7× 371 0.6× 302 0.9× 105 0.5× 236 1.2× 215 3.6k
Xinyu Li China 35 2.0k 0.9× 1.3k 2.0× 389 1.2× 327 1.5× 310 1.5× 238 4.1k
Yanqin Yang United States 34 2.0k 0.9× 718 1.2× 635 2.0× 250 1.1× 355 1.7× 71 3.5k
Wei Song China 28 1.8k 0.8× 554 0.9× 255 0.8× 324 1.5× 231 1.1× 148 3.3k
Hui Zhao China 33 2.7k 1.2× 388 0.6× 439 1.4× 300 1.4× 213 1.0× 200 4.0k
Toru Tanaka Japan 30 1.6k 0.7× 363 0.6× 429 1.3× 415 1.9× 118 0.6× 89 2.9k

Countries citing papers authored by Yang Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Yang Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Xiang. A scholar is included among the top collaborators of Yang Xiang 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 Yang Xiang. Yang Xiang 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.
Xiang, Yang, et al.. (2026). Risk factors for recurrent laryngeal nerve injury following thyroid surgery: a systematic review and meta-analysis. Frontiers in Surgery. 12. 1731701–1731701.
2.
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Liu, Yan, Yao Meng, Bo Wang, et al.. (2025). Aldehyde Oxidase 1 Deficiency Enhances Aerobic Exercise Performance by Promoting Skeletal Muscle Adaptation and Improving Mitochondrial Function. The FASEB Journal. 39(14). e70815–e70815. 1 indexed citations
4.
Xiao, Yawen, Luo Hong, Jian Jiang, et al.. (2025). Analytical performance evaluation of intelligent quality management of blood gas analyzer. Practical Laboratory Medicine. 45. e00480–e00480.
5.
Xiang, Yang, et al.. (2025). Selenium deficiency modulates neonatal pulmonary alveolar development via mitochondrial ROS accumulation and oxidative stress mediated by STAT3 inhibition. Archives of Physiology and Biochemistry. 131(5). 792–804. 1 indexed citations
6.
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Xiang, Yang, et al.. (2023). Kangfuxin liquid reduces the ultraviolet B-induced photodamage of HaCaT cells by regulating autophagy. Bioscience Biotechnology and Biochemistry. 87(12). 1485–1494. 1 indexed citations
8.
Liu, Long, et al.. (2023). Amphibian pore-forming protein βγ-CAT drives extracellular nutrient scavenging under cell nutrient deficiency. iScience. 26(5). 106598–106598. 2 indexed citations
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Yang, Kun, et al.. (2022). N6-methyladenosine Modification-Related Long Non-Coding RNAs are Potential Biomarkers for Predicting the Prognosis of Patients With Osteosarcoma. Technology in Cancer Research & Treatment. 21. 2213827242–2213827242. 6 indexed citations
11.
Jia, Yan, Huanhuan Jin, Liyuan Gao, et al.. (2020). A novel lncRNA PLK4 up‐regulated by talazoparib represses hepatocellular carcinoma progression by promoting YAP‐mediated cell senescence. Journal of Cellular and Molecular Medicine. 24(9). 5304–5316. 18 indexed citations
12.
Jia, Yan, Liyuan Gao, Yang Xiang, et al.. (2020). Blockade of periostin-dependent migration and adhesion by curcumol via inhibition of nuclear factor kappa B signaling in hepatic stellate cells. Toxicology. 440. 152475–152475. 14 indexed citations
13.
Wang, Zhimin, Siwei Xia, Tian Zhang, et al.. (2020). LncRNA-H19 induces hepatic stellate cell activation via upregulating alcohol dehydrogenase III-mediated retinoic acid signals. International Immunopharmacology. 84. 106470–106470. 10 indexed citations
14.
Zhao, Feng, Tao Li, Yang Xiang, et al.. (2018). Proteotranscriptomic Analysis and Discovery of the Profile and Diversity of Toxin-like Proteins in Centipede. Molecular & Cellular Proteomics. 17(4). 709–720. 13 indexed citations
15.
Yu, Guoyu, Ping Jiang, Yang Xiang, et al.. (2015). Increased Expression of Protease-Activated Receptor 4 and Trefoil Factor 2 in Human Colorectal Cancer. PLoS ONE. 10(4). e0122678–e0122678. 23 indexed citations
16.
Guo, Xiaolong, Sheng‐An Li, Yuqi Zhao, et al.. (2014). Prohibitin is involved in the activated internalization and degradation of protease-activated receptor 1. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(7). 1393–1401. 18 indexed citations
17.
Song, Liping, Wenhong Zhang, Yang Xiang, & Na Zhao. (2013). Quantitative Analysis of Thyroid Blood Flow and Static Imaging in the Differential Diagnosis of Thyroid Nodules. Asian Pacific Journal of Cancer Prevention. 14(11). 6331–6335. 2 indexed citations
18.
Zhang, Yong, Guoyu Yu, Ping Jiang, et al.. (2011). Decreased expression of protease-activated receptor 4 in human gastric cancer. The International Journal of Biochemistry & Cell Biology. 43(9). 1277–1283. 17 indexed citations
19.
Gao, Qian, et al.. (2011). βγ-CAT, a non-lens betagamma-crystallin and trefoil factor complex, induces calcium-dependent platelet apoptosis. Thrombosis and Haemostasis. 105(5). 846–854. 9 indexed citations
20.
Zhang, Yong, Yang Xiang, Ping Jiang, et al.. (2010). Cell migration-promoting and apoptosis-inhibiting activities of Bm-TFF2 require distinct structure basis. Biochemical and Biophysical Research Communications. 400(4). 724–728. 5 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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