Yangming Xiao

906 total citations
30 papers, 756 citations indexed

About

Yangming Xiao is a scholar working on Immunology, Epidemiology and Genetics. According to data from OpenAlex, Yangming Xiao has authored 30 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Yangming Xiao's work include Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Connective tissue disorders research (5 papers) and Reproductive tract infections research (4 papers). Yangming Xiao is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Connective tissue disorders research (5 papers) and Reproductive tract infections research (4 papers). Yangming Xiao collaborates with scholars based in United States, China and Brazil. Yangming Xiao's co-authors include Guangming Zhong, I. Jon Russell, Youmin Zhong, Whitney Greene, Grant McClarty, Yanqing Huang, Yingbin Hu, Joel Michalek, Feng Dong and Yimou Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Infection and Immunity.

In The Last Decade

Yangming Xiao

28 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangming Xiao United States 14 215 212 198 186 142 30 756
Xiaowen L. Rudner United States 17 325 1.5× 198 0.9× 51 0.3× 387 2.1× 56 0.4× 26 1.3k
Andreas Wellmer Germany 20 202 0.9× 369 1.7× 337 1.7× 152 0.8× 27 0.2× 30 1.0k
Holger Schmidt Germany 21 117 0.5× 460 2.2× 328 1.7× 190 1.0× 69 0.5× 58 1.3k
Saoko Takeshita Japan 13 575 2.7× 133 0.6× 127 0.6× 320 1.7× 65 0.5× 31 1.1k
Annette Spreer Germany 17 174 0.8× 344 1.6× 276 1.4× 153 0.8× 25 0.2× 38 983
Maghnus O’Seaghdha United States 10 255 1.2× 140 0.7× 88 0.4× 374 2.0× 31 0.2× 11 1.1k
F. Capsoni Italy 19 550 2.6× 199 0.9× 41 0.2× 165 0.9× 85 0.6× 68 1.4k
Justyna Agier Poland 17 375 1.7× 109 0.5× 147 0.7× 178 1.0× 20 0.1× 44 814
Lilian Walther–Jallow Sweden 16 391 1.8× 261 1.2× 112 0.6× 174 0.9× 143 1.0× 39 1.1k
Burk Jubelt United States 21 258 1.2× 281 1.3× 29 0.1× 257 1.4× 106 0.7× 48 1.5k

Countries citing papers authored by Yangming Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Yangming Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangming Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yangming Xiao. A scholar is included among the top collaborators of Yangming Xiao 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 Yangming Xiao. Yangming Xiao 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.
Ma, Yixuan, Yi‐Hao Chen, Yangming Xiao, et al.. (2025). How does acute caffeine ingestion affect maximal strength and muscular power in bench press and back squat in resistance-trained men?. Journal of the International Society of Sports Nutrition. 22(1). 2587791–2587791.
2.
Xiao, Yangming, et al.. (2025). Paracrine FGF21 dynamically modulates mTOR signaling to regulate thymus function across the lifespan. Nature Aging. 5(4). 588–606. 1 indexed citations
3.
Xiao, Yangming, et al.. (2022). Redox regulation of age-associated defects in generation and maintenance of T cell self-tolerance and immunity to foreign antigens. Cell Reports. 38(7). 110363–110363. 12 indexed citations
4.
Xiao, Yangming, et al.. (2018). Age-Associated Decline in Thymic B Cell Expression of Aire and Aire-Dependent Self-Antigens. Cell Reports. 22(5). 1276–1287. 56 indexed citations
5.
Xiao, Yangming, Qin Liu, & Hai‐Chao Han. (2016). Buckling Reduces eNOS Production and Stimulates Extracellular Matrix Remodeling in Arteries in Organ Culture. Annals of Biomedical Engineering. 44(9). 2840–2850. 7 indexed citations
6.
7.
Hu, Yingbin, et al.. (2015). microRNA-32 induces radioresistance by targeting DAB2IP and regulating autophagy in prostate cancer cells. Oncology Letters. 10(4). 2055–2062. 49 indexed citations
8.
Hu, Yingbin, et al.. (2015). Suppression of Cellular Proliferation and Invasion by HMGB1 Knockdown in Bladder Urothelial Carcinoma Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 22(5). 235–245. 12 indexed citations
9.
Lee, Avione Y., et al.. (2014). Mechanical instability of normal and aneurysmal arteries. Journal of Biomechanics. 47(16). 3868–3875. 18 indexed citations
10.
Wang, Guoliang, et al.. (2014). Artery Remodeling Under Axial Twist in Three Days Organ Culture. Annals of Biomedical Engineering. 43(8). 1738–1747. 9 indexed citations
11.
Xiao, Yangming, et al.. (2014). Artery buckling stimulates cell proliferation and NF-κB signaling. American Journal of Physiology-Heart and Circulatory Physiology. 307(4). H542–H551. 12 indexed citations
12.
Valim, Valéria, Jamil Natour, Yangming Xiao, et al.. (2013). Effects of physical exercise on serum levels of serotonin and its metabolite in fibromyalgia: a randomized pilot study. Revista Brasileira de Reumatologia (English Edition). 53(6). 538–541. 11 indexed citations
13.
Valim, Valéria, Jamil Natour, Yangming Xiao, et al.. (2013). Efeitos do exercício físico sobre os níveis séricos de serotonina e seu metabólito na fibromialgia: Um estudo piloto randomizado. Revista Brasileira de Reumatologia. 53(6). 538–541. 43 indexed citations
14.
Zhang, Jinzhou, et al.. (2012). Smooth muscle cell contraction increases the critical buckling pressure of arteries. Journal of Biomechanics. 46(4). 841–844. 14 indexed citations
15.
16.
Xiao, Yangming, et al.. (2012). Alterations in Pulse Pressure Affect Artery Function. Cellular and Molecular Bioengineering. 5(4). 474–487. 14 indexed citations
17.
Xiao, Yangming, et al.. (2011). A brain-derived neurotrophic factor polymorphism Val66Met identifies fibromyalgia syndrome subgroup with higher body mass index and C-reactive protein. Rheumatology International. 32(8). 2479–2485. 19 indexed citations
18.
Xiao, Yangming, Weijing He, & I. Jon Russell. (2011). Genetic Polymorphisms of the ß2-Adrenergic Receptor Relate to Guanosine Protein-coupled Stimulator Receptor Dysfunction in Fibromyalgia Syndrome. The Journal of Rheumatology. 38(6). 1095–1103. 28 indexed citations
19.
Russell, I. Jon, Emmanuel Mignot, Ling Lin, et al.. (2007). Normal cerebrospinal fluid levels of hypocretin-1 (orexin A) in patients with fibromyalgia syndrome. Sleep Medicine. 8(3). 260–265. 4 indexed citations
20.
Xiao, Yangming, Youmin Zhong, Heng Su, et al.. (2005). NF-κB Activation Is Not Required for Chlamydia trachomatis Inhibition of Host Epithelial Cell Apoptosis. The Journal of Immunology. 174(3). 1701–1708. 43 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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