Aijun Ma

823 total citations
33 papers, 678 citations indexed

About

Aijun Ma is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Aijun Ma has authored 33 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cancer Research and 11 papers in Immunology. Recurrent topics in Aijun Ma's work include MicroRNA in disease regulation (11 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Circular RNAs in diseases (7 papers). Aijun Ma is often cited by papers focused on MicroRNA in disease regulation (11 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Circular RNAs in diseases (7 papers). Aijun Ma collaborates with scholars based in China. Aijun Ma's co-authors include Xudong Pan, Shaonan Yang, Ruihua Yin, Xiaoyan Zhu, Juanjuan Ma, Na Li, Anmu Xie, Jingli Zhang, Yuan Wang and Qi Xiao and has published in prestigious journals such as PLoS ONE, Neuroreport and Clinica Chimica Acta.

In The Last Decade

Aijun Ma

32 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aijun Ma China 17 429 317 171 120 61 33 678
Radiance Lim Singapore 8 511 1.2× 206 0.6× 119 0.7× 55 0.5× 65 1.1× 9 765
Sandra Schoors Belgium 5 419 1.0× 217 0.7× 96 0.6× 45 0.4× 65 1.1× 6 655
Rosa Aledo Spain 20 507 1.2× 166 0.5× 103 0.6× 85 0.7× 94 1.5× 36 882
Melissa Bevard United States 6 259 0.6× 108 0.3× 233 1.4× 117 1.0× 73 1.2× 6 690
Tao Zhuang China 14 485 1.1× 139 0.4× 122 0.7× 67 0.6× 140 2.3× 21 735
Malith Karunasiri United States 8 483 1.1× 206 0.6× 276 1.6× 68 0.6× 20 0.3× 14 831
Monika Maleszewska Germany 9 497 1.2× 155 0.5× 113 0.7× 54 0.5× 85 1.4× 13 730
Ruiyan Li China 14 458 1.1× 299 0.9× 57 0.3× 54 0.5× 19 0.3× 22 689
Rebecca A. Deaton United States 11 485 1.1× 117 0.4× 189 1.1× 56 0.5× 61 1.0× 16 735
Zhe Huang Japan 12 332 0.8× 157 0.5× 50 0.3× 72 0.6× 41 0.7× 16 597

Countries citing papers authored by Aijun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Aijun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aijun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Aijun Ma. A scholar is included among the top collaborators of Aijun Ma 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 Aijun Ma. Aijun Ma 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.
Liu, Zhifeng, Yi Shi, Peng-Fei Yan, et al.. (2025). Analysis of pigment cell differences and carotenoid content in the skin of golden turbot (Scophthalmus maximus) with color variation. Aquaculture Reports. 42. 102848–102848.
2.
Jin, Wei, et al.. (2024). Inflammation-associated D-dimer predicts neurological outcome of recent small subcortical infarct: A prospective clinical and laboratory study. Clinical Neurology and Neurosurgery. 237. 108126–108126. 2 indexed citations
3.
Li, Xuening, Dapeng Hao, Meijie Qu, et al.. (2021). Development and Validation of a Plasma FAM19A5 and MRI-Based Radiomics Model for Prediction of Parkinson’s Disease and Parkinson’s Disease With Depression. Frontiers in Neuroscience. 15. 795539–795539. 8 indexed citations
5.
Jin, Wei, et al.. (2021). Sex-specific relationship between serum uric acid levels and the prevalence of large vessel occlusion in acute ischemic stroke. Clinical and Experimental Hypertension. 44(2). 154–158. 1 indexed citations
6.
Xiao, Qi, Ruihua Yin, Yuan Wang, et al.. (2021). Comprehensive Analysis of Peripheral Exosomal circRNAs in Large Artery Atherosclerotic Stroke. Frontiers in Cell and Developmental Biology. 9. 685741–685741. 18 indexed citations
7.
Yang, Wenzhi, Ruihua Yin, Xiaoyan Zhu, et al.. (2020). Mesenchymal stem-cell-derived exosomal miR-145 inhibits atherosclerosis by targeting JAM-A. Molecular Therapy — Nucleic Acids. 23. 119–131. 65 indexed citations
8.
Yin, Ruihua, Xiaoyan Zhu, Jing Wang, et al.. (2019). MicroRNA-155 promotes the ox-LDL-induced activation of NLRP3 inflammasomes via the ERK1/2 pathway in THP-1 macrophages and aggravates atherosclerosis in ApoE−/− mice. Annals of Palliative Medicine. 8(5). 676–689. 53 indexed citations
9.
Xiao, Qi, Xiaoyan Zhu, Shaonan Yang, et al.. (2019). LPS induces CXCL16 expression in HUVECs through the miR-146a-mediated TLR4 pathway. International Immunopharmacology. 69. 143–149. 34 indexed citations
11.
Zhou, Lingyan, et al.. (2018). Association between interleukin-18 (137G/C and 607C/A) gene polymorphisms and risk of ischemic stroke. Neuroreport. 30(2). 89–94. 6 indexed citations
12.
Gao, Jing, et al.. (2018). Plasma miR-126 and miR-143 as Potential Novel Biomarkers for Cerebral Atherosclerosis. Journal of Stroke and Cerebrovascular Diseases. 28(1). 38–43. 33 indexed citations
13.
Li, Wei, et al.. (2018). MiR-181b regulates autophagy in a model of Parkinson’s disease by targeting the PTEN/Akt/mTOR signaling pathway. Neuroscience Letters. 675. 83–88. 51 indexed citations
14.
Ma, Juanjuan, Shaonan Yang, Aijun Ma, et al.. (2017). Expression of miRNA-155 in carotid atherosclerotic plaques of apolipoprotein E knockout (ApoE −/− ) mice and the interventional effect of rapamycin. International Immunopharmacology. 46. 70–74. 20 indexed citations
15.
Yin, Ruihua, Aijun Ma, Xudong Pan, & Shaonan Yang. (2017). Biomarkers of cerebral microembolic signals. Clinica Chimica Acta. 475. 164–168. 12 indexed citations
16.
Li, Na, Xudong Pan, Jingli Zhang, et al.. (2017). Plasma levels of miR-137 and miR-124 are associated with Parkinson’s disease but not with Parkinson’s disease with depression. Neurological Sciences. 38(5). 761–767. 93 indexed citations
17.
Pan, Xudong, Rongyao Hou, Aijun Ma, et al.. (2016). Atorvastatin Upregulates the Expression of miR-126 in Apolipoprotein E-knockout Mice with Carotid Atherosclerotic Plaque. Cellular and Molecular Neurobiology. 37(1). 29–36. 23 indexed citations
18.
Ma, Aijun, Shaonan Yang, Yuan Wang, Xia Wang, & Xudong Pan. (2016). Increase of Serum CXCL16 Level Correlates Well to Microembolic Signals in Acute Stroke Patients with Carotid Artery Stenosis. Clinica Chimica Acta. 460. 67–71. 11 indexed citations
19.
Ma, Aijun, et al.. (2014). Elevation of serum CXCL16 level correlates well with atherosclerotic ischemic stroke. Archives of Medical Science. 1(1). 47–52. 32 indexed citations
20.
Gao, Jing, Hong Yao, Anmu Xie, et al.. (2013). Alteration of mitochondrial function and ultrastructure in the hippocampus of pilocarpine-treated rat. Epilepsy Research. 108(2). 162–170. 12 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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