Weiyuan Ma

553 total citations
24 papers, 408 citations indexed

About

Weiyuan Ma is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Weiyuan Ma has authored 24 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Immunology. Recurrent topics in Weiyuan Ma's work include Cancer-related Molecular Pathways (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Weiyuan Ma is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Weiyuan Ma collaborates with scholars based in China and Taiwan. Weiyuan Ma's co-authors include Qing Sun, Kaili Zhang, Kun Jia, Fan Yang, Ying Liu, Yan Wang, Hua Zhong, Haiying Liao, Weining Li and Yingshan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Weiyuan Ma

23 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiyuan Ma China 14 221 109 106 85 45 24 408
Tae‐Young Na South Korea 11 262 1.2× 90 0.8× 69 0.7× 81 1.0× 19 0.4× 14 530
Jinyuan Pan China 10 247 1.1× 144 1.3× 38 0.4× 100 1.2× 37 0.8× 12 421
Yueh‐Shan Weng Taiwan 10 329 1.5× 178 1.6× 161 1.5× 188 2.2× 14 0.3× 17 588
Ming Ma China 14 289 1.3× 163 1.5× 100 0.9× 127 1.5× 21 0.5× 32 530
Zijian Ma China 13 218 1.0× 82 0.8× 90 0.8× 40 0.5× 9 0.2× 31 402
Raquel Pluvinet Spain 11 243 1.1× 99 0.9× 83 0.8× 56 0.7× 17 0.4× 19 434
Yuhei Takada Japan 5 209 0.9× 121 1.1× 116 1.1× 60 0.7× 8 0.2× 8 396
Pilar Martínez-Onsurbe Spain 15 265 1.2× 129 1.2× 63 0.6× 115 1.4× 48 1.1× 22 596
Young Mi Kim South Korea 12 233 1.1× 77 0.7× 81 0.8× 46 0.5× 11 0.2× 16 378
Lianhua Zhu China 11 168 0.8× 66 0.6× 93 0.9× 94 1.1× 7 0.2× 16 352

Countries citing papers authored by Weiyuan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Weiyuan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyuan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyuan Ma. A scholar is included among the top collaborators of Weiyuan 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 Weiyuan Ma. Weiyuan 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.
Zhang, Liwen, Dandan Hu, Dan Su, et al.. (2025). Interrogating subclonal heterogeneity of liver cancer with single-cell multi-omics analysis. Scientific Reports. 15(1). 39021–39021.
2.
Ma, Weiyuan, et al.. (2021). Nilotinib, A Tyrosine Kinase Inhibitor, Suppresses the Cell Growth and Triggers Autophagy in Papillary Thyroid Cancer. Anti-Cancer Agents in Medicinal Chemistry. 22(3). 596–602. 13 indexed citations
3.
Ma, Weiyuan, et al.. (2020). Quercetin alleviates hyperthyroidism‐induced liver damage via Nrf2 Signaling pathway. BioFactors. 46(4). 608–619. 33 indexed citations
4.
Zhang, Kaili, et al.. (2020). Hsa_circ_0011290 regulates proliferation, apoptosis and glycolytic phenotype in papillary thyroid cancer via miR-1252/ FSTL1 signal pathway. Archives of Biochemistry and Biophysics. 685. 108353–108353. 20 indexed citations
5.
Wang, Ying, et al.. (2020). Signal transducer and activator of transcription 3 inhibition alleviates resistance to BRAF inhibition in anaplastic thyroid cancer. Investigational New Drugs. 39(3). 764–774. 4 indexed citations
6.
Kuo, Chun‐Ting, Chenlin Chen, Weiyuan Ma, et al.. (2019). Immunofluorescence can assess the efficacy of mTOR pathway therapeutic agent Everolimus in breast cancer models. Scientific Reports. 9(1). 10898–10898. 6 indexed citations
7.
Wang, Yan, Xiao‐Jing Yu, Lihua Wang, Weiyuan Ma, & Qing Sun. (2018). miR-320b Is Down-Regulated in Psoriasis and Modulates Keratinocyte Proliferation by Targeting AKT3. Inflammation. 41(6). 2160–2170. 23 indexed citations
8.
Ma, Weiyuan, et al.. (2018). Up-regulation of miR-340-5p promotes progression of thyroid cancer by inhibiting BMP4. Journal of Endocrinological Investigation. 41(10). 1165–1172. 29 indexed citations
9.
Yan, Yanfang, et al.. (2017). BMI-1 Promotes Self-Renewal of Radio- and Temozolomide (TMZ)-Resistant Breast Cancer Cells. Reproductive Sciences. 24(12). 1620–1629. 13 indexed citations
10.
Liao, Haiying, et al.. (2016). Evaluation of Serum Vascular Adhesion Protein-1 as a Potential Biomarker in Thyroid Cancer. International Journal of Endocrinology. 2016. 1–7. 8 indexed citations
11.
Wang, Ying, et al.. (2016). Genistein improves thyroid function in Hashimoto’s thyroiditis patients through regulating Th1 cytokines. Immunobiology. 222(2). 183–187. 20 indexed citations
12.
Ma, Weiyuan, et al.. (2016). Tumour suppressive function of HUWE1 in thyroid cancer. Journal of Biosciences. 41(3). 395–405. 14 indexed citations
13.
Li, Weiwei, Yunpeng Zhao, Weiyuan Ma, et al.. (2015). Rebamipide suppresses TNF‐α mediated inflammation in vitro and attenuates the severity of dermatitis in mice. FEBS Journal. 282(12). 2317–2326. 19 indexed citations
14.
Liu, Yingshan, et al.. (2015). Metformin inhibits the proliferation of A431 cells by modulating the PI3K/Akt signaling pathway. Experimental and Therapeutic Medicine. 9(4). 1401–1406. 30 indexed citations
15.
Liu, Ying, Fan Yang, Weiyuan Ma, & Qing Sun. (2015). Metformin inhibits proliferation and proinflammatory cytokines of human keratinocytes in vitro via mTOR-signaling pathway. Pharmaceutical Biology. 54(7). 1173–1178. 33 indexed citations
16.
Ma, Weiyuan, et al.. (2015). Filamin A (FLNA) modulates chemosensitivity to docetaxel in triple-negative breast cancer through the MAPK/ERK pathway. Tumor Biology. 37(4). 5107–5115. 23 indexed citations
17.
Ma, Weiyuan, et al.. (2013). Associations between Tumor Necrosis Factor-α Polymorphisms and Risk of Psoriasis: A Meta-Analysis. PLoS ONE. 8(12). e68827–e68827. 34 indexed citations
18.
Li, Weining, Weiyuan Ma, Hua Zhong, Wenbin Liu, & Qing Sun. (2013). Metformin inhibits proliferation of human keratinocytes through a mechanism associated with activation of the MAPK signaling pathway. Experimental and Therapeutic Medicine. 7(2). 389–392. 31 indexed citations
19.
Ma, Weiyuan, et al.. (2013). Association between Glutathione S-Transferase T1 Null Genotype and Gastric Cancer Risk: A Meta-Analysis of 48 Studies. PLoS ONE. 8(4). e60833–e60833. 9 indexed citations
20.
Chen, Yuan, Cheng‐Ming Lin, Chang-Yu Chen, et al.. (2010). ANALYSIS OF SPERM QUALITY IN A MICROFLUIDIC DEVICE. 1 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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