Feiya Ma

430 total citations · 1 hit paper
9 papers, 311 citations indexed

About

Feiya Ma is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Feiya Ma has authored 9 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Feiya Ma's work include Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers) and Extracellular vesicles in disease (2 papers). Feiya Ma is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers) and Extracellular vesicles in disease (2 papers). Feiya Ma collaborates with scholars based in China and United States. Feiya Ma's co-authors include Guangyong Peng, Ming You, Yayi Hou, Fei Liu, Yujie Zhou, Liang Ding, Yuqi Wang, Xia Liu, Grace Lee and Yuanqin Zhang and has published in prestigious journals such as Science Translational Medicine, Cellular and Molecular Immunology and Journal for ImmunoTherapy of Cancer.

In The Last Decade

Feiya Ma

9 papers receiving 307 citations

Hit Papers

Tumor extracellular vesicle–derived PD-L1 promotes T cell... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feiya Ma China 8 149 120 88 62 38 9 311
Kailash Chandra Mangalhara India 8 306 2.1× 75 0.6× 120 1.4× 31 0.5× 29 0.8× 10 413
Huan Pan China 13 158 1.1× 39 0.3× 57 0.6× 63 1.0× 24 0.6× 28 314
Agnieszka Bojko Poland 10 207 1.4× 52 0.4× 39 0.4× 61 1.0× 47 1.2× 10 383
Yurong Chai China 14 277 1.9× 48 0.4× 48 0.5× 50 0.8× 12 0.3× 40 421
Zhixin Yin China 8 175 1.2× 63 0.5× 130 1.5× 39 0.6× 12 0.3× 8 290
Yi‐Ting Chuang Taiwan 10 176 1.2× 43 0.4× 82 0.9× 101 1.6× 12 0.3× 13 336
Weijia Dou China 7 258 1.7× 53 0.4× 154 1.8× 30 0.5× 19 0.5× 13 421
Dinesh Babu Somasundaram United States 10 149 1.0× 31 0.3× 117 1.3× 102 1.6× 17 0.4× 21 334
Ruigong Zhu China 6 174 1.2× 67 0.6× 32 0.4× 19 0.3× 16 0.4× 12 287
Xiaoyan Wu China 12 289 1.9× 62 0.5× 88 1.0× 22 0.4× 8 0.2× 21 366

Countries citing papers authored by Feiya Ma

Since Specialization
Citations

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

Fields of papers citing papers by Feiya Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiya Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Feiya Ma. A scholar is included among the top collaborators of Feiya 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 Feiya Ma. Feiya Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ma, Feiya, Xia Liu, Tao Yan, et al.. (2025). Tumor extracellular vesicle–derived PD-L1 promotes T cell senescence through lipid metabolism reprogramming. Science Translational Medicine. 17(785). eadm7269–eadm7269. 24 indexed citations breakdown →
2.
Si, Fusheng, Xia Liu, Yuanqin Zhang, et al.. (2024). Blocking senescence and tolerogenic function of dendritic cells induced by γδ Treg cells enhances tumor-specific immunity for cancer immunotherapy. Journal for ImmunoTherapy of Cancer. 12(4). e008219–e008219. 16 indexed citations
3.
Liu, Xia, Fusheng Si, David M. Bagley, et al.. (2022). Blockades of effector T cell senescence and exhaustion synergistically enhance antitumor immunity and immunotherapy. Journal for ImmunoTherapy of Cancer. 10(10). e005020–e005020. 64 indexed citations
4.
Ma, Feiya, et al.. (2021). Emerging role of tumor-derived extracellular vesicles in T cell suppression and dysfunction in the tumor microenvironment. Journal for ImmunoTherapy of Cancer. 9(10). e003217–e003217. 56 indexed citations
6.
Ma, Feiya, Fei Liu, Liang Ding, et al.. (2017). Anti-inflammatory effects of curcumin are associated with down regulating microRNA-155 in LPS-treated macrophages and mice. Pharmaceutical Biology. 55(1). 1263–1273. 106 indexed citations
7.
Wang, Haining, Feiya Ma, Fei Liu, et al.. (2017). Anti-fibrosis effect for Hirsutella sinensis mycelium based on inhibition of mTOR p70S6K phosphorylation. Innate Immunity. 23(7). 615–624. 12 indexed citations
8.
Tang, Ruijing, Yujun Xu, Feiya Ma, et al.. (2016). Extremely low frequency magnetic fields regulate differentiation of regulatory T cells: Potential role for ROS‐mediated inhibition on AKT. Bioelectromagnetics. 37(2). 89–98. 15 indexed citations
9.
You, Ming, Guanjun Dong, Fanlin Li, et al.. (2015). Ligation of CD180 inhibits IFN-α signaling in a Lyn-PI3K-BTK-dependent manner in B cells. Cellular and Molecular Immunology. 14(2). 192–202. 17 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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