Xiaoming Yang

3.9k total citations · 1 hit paper
119 papers, 3.0k citations indexed

About

Xiaoming Yang is a scholar working on Molecular Biology, Complementary and alternative medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaoming Yang has authored 119 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 29 papers in Complementary and alternative medicine and 20 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaoming Yang's work include Ginkgo biloba and Cashew Applications (29 papers), Liver physiology and pathology (17 papers) and Neurological Disease Mechanisms and Treatments (17 papers). Xiaoming Yang is often cited by papers focused on Ginkgo biloba and Cashew Applications (29 papers), Liver physiology and pathology (17 papers) and Neurological Disease Mechanisms and Treatments (17 papers). Xiaoming Yang collaborates with scholars based in China, United States and Australia. Xiaoming Yang's co-authors include Isaac Duah Boateng, Haile Ma, Karin Lykke‐Hartmann, Ning Wei, Hui Zhang, Fengnan Li, Zhongping Ou, Wei Yu, Ryûji Kobayashi and Jian‐Yu Zheng and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and PLoS ONE.

In The Last Decade

Xiaoming Yang

114 papers receiving 3.0k citations

Hit Papers

Oxidative stress: Roles in skeletal muscle atrophy 2023 2026 2024 2025 2023 40 80 120
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. Oxidative stress: Roles in skeletal muscle atrophy
    2023 125 citations Xiaoming Yang 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
Xiaoming Yang China 30 1.3k 410 403 333 328 119 3.0k
Jeong‐Chae Lee South Korea 37 2.3k 1.8× 796 1.9× 447 1.1× 231 0.7× 276 0.8× 147 4.9k
Il‐Whan Choi South Korea 43 2.0k 1.6× 317 0.8× 229 0.6× 175 0.5× 289 0.9× 190 5.2k
Wenwen Zhao China 37 1.5k 1.2× 402 1.0× 201 0.5× 359 1.1× 287 0.9× 149 4.3k
Lei Chen China 35 1.8k 1.4× 374 0.9× 234 0.6× 209 0.6× 318 1.0× 184 4.0k
Jian Ding China 30 1.4k 1.1× 451 1.1× 292 0.7× 340 1.0× 141 0.4× 118 3.1k
Jian Liu China 37 1.7k 1.4× 576 1.4× 211 0.5× 464 1.4× 123 0.4× 174 4.1k
Yanfang Yang China 35 1.6k 1.3× 436 1.1× 299 0.7× 158 0.5× 320 1.0× 183 3.8k
Jung‐Hoon Kim South Korea 28 1.0k 0.8× 283 0.7× 239 0.6× 174 0.5× 311 0.9× 168 2.6k
Jeong Hee Kim South Korea 28 1.5k 1.2× 622 1.5× 271 0.7× 592 1.8× 178 0.5× 124 3.4k
Prachya Kongtawelert Thailand 32 1.2k 1.0× 396 1.0× 158 0.4× 166 0.5× 142 0.4× 156 3.1k

Countries citing papers authored by Xiaoming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Yang. A scholar is included among the top collaborators of Xiaoming Yang 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 Xiaoming Yang. Xiaoming Yang 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
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Fang, Kailun, Xiaoming Yang, Yuanhua Liu, et al.. (2025). A comprehensive study of AAV tropism across C57BL/6 mice, BALB/c mice, and crab-eating macaques. Molecular Therapy — Methods & Clinical Development. 33(1). 101434–101434. 3 indexed citations
3.
Yin, Jianjian, Qi Chang, Tao Wang, et al.. (2025). The N1‐methyladenosine methyltransferase TRMT61A promotes bladder cancer progression and is targetable by small molecule compounds. Clinical and Translational Medicine. 15(1). e70137–e70137.
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Yang, Xiaoming, Fuliang Cao, Hao Liu, et al.. (2023). Screening of Ginkgo Individuals with Superior Growth Structural Characteristics in Different Genetic Groups Using Terrestrial Laser Scanning (TLS) Data. Plant Phenomics. 5. 92–92. 4 indexed citations
8.
Cui, Xihua, Hongyan Xie, Yue Jiang, et al.. (2023). Porous structure induced crack redistribution in surface conductive layer for high‐performance fiber‐based flexible strain and pressure sensors. Polymers for Advanced Technologies. 34(9). 3011–3021. 5 indexed citations
9.
Yang, Xiaoming, Xiaosong Wei, Yang Yang, et al.. (2022). Long Noncoding RNA HAND2-AS1 Suppresses Cell Proliferation, Migration, and Invasion of Bladder Cancer via miR-17-5p / KLF9 Axis. DNA and Cell Biology. 41(2). 179–189. 6 indexed citations
10.
Wang, Xudong, Tongzhou Liang, Yuanxin Zhu, et al.. (2019). Melatonin prevents bone destruction in mice with retinoic acid–induced osteoporosis. Molecular Medicine. 25(1). 43–43. 61 indexed citations
11.
Yang, Xiaoming, et al.. (2019). SULT2B1b promotes epithelial-mesenchymal transition through activation of the β-catenin/MMP7 pathway in hepatocytes. Biochemical and Biophysical Research Communications. 510(4). 495–500. 25 indexed citations
12.
Li, Shichao, Xiaoming Yang, Haile Ma, Jing‐Kun Yan, & Danzhao Guo. (2015). Purification, characterization and antitumor activity of polysaccharides extracted from Phellinus igniarius mycelia. Carbohydrate Polymers. 133. 24–30. 91 indexed citations
13.
Yang, Xiaoming. (2009). Multi-targeted protein tyrosine kinase inhibitor:research advances. 1 indexed citations
14.
Yang, Xiaoming, et al.. (2009). Comparison of ultrasound and X - ray in establishing percutaneous nephrolithotomy aisles. Central Plains Medical Journal. 36(14). 39–41. 1 indexed citations
15.
Song, Dongkui, Kun Chen, Zhongxue Li, et al.. (2008). Association study of cyclooxygenuse 2 polymorphisms and bladder cancer. Zhonghua miniao waike zazhi. 29(10). 704–707. 1 indexed citations
16.
Yang, Xiaoming. (2007). Advances in the Research of HNF1α Complex. 1 indexed citations
17.
Yang, Xiaoming. (2006). New Criteria for Harmonic Blocking Differential Protection of Transformers. Dianli xitong zidonghua. 2 indexed citations
18.
Syin, Chiang, Daniel Parzy, François Traincard, et al.. (2001). The H89 cAMP‐dependent protein kinase inhibitor blocks Plasmodium falciparum development in infected erythrocytes. European Journal of Biochemistry. 268(18). 4842–4849. 80 indexed citations
19.
Wang, Ge, Xiaoming Yang, Yong Zhang, et al.. (1999). Identification and Characterization of Receptor for Mammalian Hepatopoietin That Is Homologous to Yeast ERV1. Journal of Biological Chemistry. 274(17). 11469–11472. 57 indexed citations
20.
Yang, Xiaoming & Shaw S. Wang. (1998). Development of Bacillus thuringiensis fermentation and process control from a practical perspective. Biotechnology and Applied Biochemistry. 28(2). 95–98. 19 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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