Yu Ma

38 total papers · 691 total citations
28 papers, 510 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 510 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 Cancer-related molecular mechanisms research (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 Cancer-related molecular mechanisms research (5 papers). Yu Ma collaborates with scholars based in China, Macao and Kenya. Yu Ma's co-authors include Meng Liu, Youjing Yang, Silafu Aibai, Zhijian Li, Shasha Tao, Yujia Zhou, Shuanglin Dong, Qi Yan, Sai Zhang and Na Li 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 503 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

STAT6 inhibits ferroptosis and alleviates acute lung injury via regulating P53/SLC7A11 pathway

2022 129 citations Youjing Yang, Yu Ma et al. Cell Death and Disease profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yu Ma	239	132	110	84	83	28	510
Tejinder Pal Khaket	288 1.2×	51 0.4×	89 0.8×	16 0.2×	81 1.0×	29	606
Fuxiang Li	211 0.9×	100 0.8×	97 0.9×	21 0.3×	46 0.6×	31	611
Xuemei Liu	312 1.3×	120 0.9×	177 1.6×	32 0.4×	57 0.7×	32	617
Harvey R. Fernandez	360 1.5×	63 0.5×	97 0.9×	22 0.3×	93 1.1×	23	617
D. Pelling	117 0.5×	39 0.3×	21 0.2×	51 0.6×	71 0.9×	27	558
Jicheng Chen	178 0.7×	83 0.6×	51 0.5×	20 0.2×	52 0.6×	35	540
Naijin Xu	251 1.1×	53 0.4×	58 0.5×	23 0.3×	38 0.5×	20	502
Łukasz Szoka	239 1.0×	26 0.2×	82 0.7×	27 0.3×	52 0.6×	33	463
Dan Zhao	207 0.9×	69 0.5×	18 0.2×	30 0.4×	88 1.1×	33	551
Shaofang Wang	244 1.0×	30 0.2×	58 0.5×	31 0.4×	117 1.4×	28	540

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

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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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