Yu Ma

698 total citations · 1 hit paper
28 papers, 519 citations indexed

About

Yu Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yu Ma has authored 28 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yu Ma's work include Ferroptosis and cancer prognosis (8 papers), Neurobiology and Insect Physiology Research (6 papers) and RNA modifications and cancer (5 papers). Yu Ma is often cited by papers focused on Ferroptosis and cancer prognosis (8 papers), Neurobiology and Insect Physiology Research (6 papers) and RNA modifications and cancer (5 papers). Yu Ma collaborates with scholars based in China, Kenya and Macao. Yu Ma's co-authors include Meng Liu, Shasha Tao, Youjing Yang, Zhijian Li, Silafu Aibai, Yujia Zhou, Qi Yan, Shuanglin Dong, Yuanyuan Deng and Ping Chen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Free Radical Biology and Medicine and Frontiers in Immunology.

In The Last Decade

Yu Ma

23 papers receiving 512 citations

Hit Papers

STAT6 inhibits ferroptosis and alleviates acute lung inju... 2022 2026 2023 2024 2022 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. STAT6 inhibits ferroptosis and alleviates acute lung injury via regulating P53/SLC7A11 pathway
    2022 132 citations Youjing Yang, Yu Ma et al. Cell Death and Disease profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Ma China 11 242 137 110 86 85 28 519
Naijin Xu China 12 253 1.0× 54 0.4× 61 0.6× 38 0.4× 25 0.3× 20 513
Ming Liang China 16 435 1.8× 29 0.2× 68 0.6× 34 0.4× 67 0.8× 29 625
Magdalena Mizerska-Kowalska Poland 16 250 1.0× 17 0.1× 56 0.5× 100 1.2× 78 0.9× 31 543
Syafiq Asnawi Zainal Abidin Malaysia 17 319 1.3× 25 0.2× 65 0.6× 118 1.4× 25 0.3× 56 703
Zhikun Liang China 13 246 1.0× 17 0.1× 44 0.4× 116 1.3× 236 2.8× 40 563
İbrahim Bozgeyik Türkiye 16 401 1.7× 42 0.3× 297 2.7× 82 1.0× 37 0.4× 67 754
Min Gong China 12 329 1.4× 26 0.2× 57 0.5× 56 0.7× 69 0.8× 23 442
Kyu‐Shik Lee South Korea 14 222 0.9× 30 0.2× 47 0.4× 42 0.5× 97 1.1× 44 536
Federica Andreola Italy 12 273 1.1× 18 0.1× 69 0.6× 83 1.0× 13 0.2× 22 592

Countries citing papers authored by Yu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ma. A scholar is included among the top collaborators of Yu 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 Yu Ma. Yu 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
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Luo, Zheng, Jingyi Tang, Yuanyuan Deng, et al.. (2025). Integrating network analysis and experimental validation to reveal the ferroptosis-associated mechanism of acteoside in the treatment of diabetic nephropathy. Frontiers in Pharmacology. 16. 1660227–1660227.
3.
Yang, Tingting, Yu Ma, Minghao Yin, et al.. (2025). Molecular mechanisms based on peripheral level of vanillin recognition in Orthaga achatina (Lepidoptera: Pyralidae). Insect Biochemistry and Molecular Biology. 180. 104317–104317.
4.
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Yang, Youjing, et al.. (2024). SQSTM1 improves acute lung injury via inhibiting airway epithelium ferroptosis in a vitamin D receptor/autophagy-mediated manner. Free Radical Biology and Medicine. 222. 588–600. 2 indexed citations
6.
7.
Qian, Kai, Liyan Song, Dan Fu, et al.. (2024). Baicalin improves isoproterenol-induced cardiac remodeling by regulating the Nrf2-dependent signaling pathway. BMC Cardiovascular Disorders. 24(1). 733–733. 1 indexed citations
8.
Ma, Yu, et al.. (2024). Hydroxy‐wybutosine tRNA modifications as indicators of disease progression and therapeutic targets in leukaemia. British Journal of Haematology. 206(2). 517–530.
9.
Ma, Yu, Tingting Yang, Shuang Ni, et al.. (2024). The Odorant Receptor Recognizing Camphor in a Camphor Tree Specialist Orthaga achatina (Lepidoptera: Pyralidae). Journal of Agricultural and Food Chemistry. 72(5). 2689–2696. 11 indexed citations
10.
Zhu, Jianfei, Wenchen Wang, Yu Ma, Jinbo Zhao, & Yanlu Xiong. (2023). Development and validation of a gene-based classification model for pN2 lung adenocarcinoma. Translational Lung Cancer Research. 12(3). 494–509. 1 indexed citations
11.
Yang, Youjing, Yu Ma, Lian Xue, et al.. (2023). m6A eraser FTO modulates autophagy by targeting SQSTM1/P62 in the prevention of canagliflozin against renal fibrosis. Frontiers in Immunology. 13. 1094556–1094556. 31 indexed citations
12.
13.
Ma, Yu, Yu Li, Zhiqiang Wei, et al.. (2023). Identification and Functional Characterization of General Odorant Binding Proteins in Orthaga achatina. Insects. 14(3). 216–216. 5 indexed citations
14.
Guo, Jin‐Meng, Hui Liao, Yu Ma, et al.. (2022). Functional differentiation of three pheromone binding proteins in Orthaga achatina using mixed-type sex pheromones. Pesticide Biochemistry and Physiology. 184. 105097–105097. 10 indexed citations
15.
Yang, Youjing, et al.. (2022). STAT6 inhibits ferroptosis and alleviates acute lung injury via regulating P53/SLC7A11 pathway. Cell Death and Disease. 13(6). 530–530. 132 indexed citations breakdown →
16.
Liu, Yi, Min Wu, Yaning Zhu, et al.. (2022). Identification and verification of a glycolysis-related gene signature for gastric cancer. Annals of Translational Medicine. 10(18). 1010–1010. 4 indexed citations
17.
Ma, Yu, et al.. (2022). Combined GWAS and Transcriptome Analyses Provide New Insights Into the Response Mechanisms of Sunflower Against Drought Stress. Frontiers in Plant Science. 13. 847435–847435. 24 indexed citations
18.
Zhang, Xiaoqing, Qi Yan, Lulu Li, et al.. (2020). Different binding properties of two general-odorant binding proteins in Athetis lepigone with sex pheromones, host plant volatiles and insecticides. Pesticide Biochemistry and Physiology. 164. 173–182. 61 indexed citations
19.
Zhu, Sha, Lili Jiang, Lingli Wang, et al.. (2019). Identification of key genes and specific pathways potentially involved in androgen-independent, mitoxantrone-resistant prostate cancer. Cancer Management and Research. Volume 11. 419–430. 4 indexed citations
20.
Liu, Meng, et al.. (2018). Peripheral-blood gene expression profiling studies for coronary artery disease and its severity in Xinjiang population in China. Lipids in Health and Disease. 17(1). 154–154. 7 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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