Xuehu Ma

558 total citations · 1 hit paper
7 papers, 408 citations indexed

About

Xuehu Ma is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Xuehu Ma has authored 7 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Xuehu Ma's work include Genomics, phytochemicals, and oxidative stress (2 papers), Immunotherapy and Immune Responses (2 papers) and Immune Response and Inflammation (2 papers). Xuehu Ma is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (2 papers), Immunotherapy and Immune Responses (2 papers) and Immune Response and Inflammation (2 papers). Xuehu Ma collaborates with scholars based in China, Brazil and United States. Xuehu Ma's co-authors include Bingbing Sun, Haoru Zhu, Shuting Shi, Zhihui Liang, Xinyu Xia, Dan Ge, Xin Wang, Fang Cheng, Changying Xue and Chen Chen and has published in prestigious journals such as Nanoscale, Vaccine and International Journal of Nanomedicine.

In The Last Decade

Xuehu Ma

6 papers receiving 401 citations

Hit Papers

align trajectories 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 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.

Vaccine adjuvants: Understanding the structure and mechanism of adjuvanticity

2019 300 citations Shuting Shi, Haoru Zhu et al. Vaccine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuehu Ma China	5	199	148	90	61	50	7	408
Chunmiao Hu China	8	108 0.5×	130 0.9×	93 1.0×	50 0.8×	39 0.8×	12	400
Haoru Zhu China	7	267 1.3×	210 1.4×	185 2.1×	79 1.3×	16 0.3×	16	561
Tingmei Zhao China	5	290 1.5×	245 1.7×	141 1.6×	98 1.6×	14 0.3×	6	563
Weili Yu China	11	76 0.4×	153 1.0×	104 1.2×	55 0.9×	13 0.3×	37	381
Isabelle Turbica France	10	202 1.0×	184 1.2×	56 0.6×	30 0.5×	20 0.4×	21	433
Quanming Zou China	12	81 0.4×	194 1.3×	68 0.8×	144 2.4×	18 0.4×	37	470
Dennis J. Horvath United States	12	195 1.0×	258 1.7×	40 0.4×	130 2.1×	13 0.3×	21	638
Sivaprakash Rathinavelu United States	13	235 1.2×	195 1.3×	73 0.8×	86 1.4×	14 0.3×	13	704
Timothy Hamerly United States	11	102 0.5×	182 1.2×	27 0.3×	30 0.5×	20 0.4×	21	369
Felicity C. Stark Canada	14	245 1.2×	191 1.3×	79 0.9×	70 1.1×	7 0.1×	25	513

Countries citing papers authored by Xuehu Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xuehu Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuehu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xuehu Ma. A scholar is included among the top collaborators of Xuehu 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 Xuehu Ma. Xuehu 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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7 of 7 papers shown

1.

Ma, Xuehu, et al.. (2025). EGCG Alleviates H₂O₂‐Induced Inflammatory Injury and Apoptosis in Bovine Mammary Epithelial Cells Through Nrf2 Pathway Activation and p38MAPK Pathway Inhibition. Food Science & Nutrition. 13(3). e4687–e4687. 1 indexed citations

2.

Hu, Chun‐Li, et al.. (2024). AMP-activated protein kinase mediates (-)-epigallocatechin-3-gallate (EGCG) to promote lipid synthesis in mastitis cows. Animal Biotechnology. 35(1). 2381080–2381080.

3.

Li, Jiahuan, Zhihui Liang, Min Li, et al.. (2022). Mechanistic elucidation of freezing-induced surface decomposition of aluminum oxyhydroxide adjuvant. iScience. 25(6). 104456–104456. 4 indexed citations

4.

Ma, Yanfen, et al.. (2022). Green Tea Polyphenols Alleviate Hydrogen Peroxide-Induced Oxidative Stress, Inflammation, and Apoptosis in Bovine Mammary Epithelial Cells by Activating ERK1/2–NFE2L2–HMOX1 Pathways. Frontiers in Veterinary Science. 8. 804241–804241. 19 indexed citations

5.

Ge, Dan, et al.. (2019). <p>The neurotoxicity induced by engineered nanomaterials</p>. International Journal of Nanomedicine. Volume 14. 4167–4186. 44 indexed citations

6.

Shi, Shuting, Haoru Zhu, Xinyu Xia, et al.. (2019). Vaccine adjuvants: Understanding the structure and mechanism of adjuvanticity. Vaccine. 37(24). 3167–3178. 300 indexed citations breakdown →

7.

Ge, Dan, Vahid Mirshafiee, Chen Chen, et al.. (2019). Assessment of neurotoxicity induced by different-sized Stöber silica nanoparticles: induction of pyroptosis in microglia. Nanoscale. 11(27). 12965–12972. 40 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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