Xuan Ma

1.1k citations
63 papers · 771 · h-index 16

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 3
    • Adipose Tissue and Metabolism 5
    • Reproductive biology and impacts on aquatic species 5

Xuan Ma

54 papers receiving 761 citations

Peers

Xuan Ma
Comparison fields: 5 of 114
  • Geriatrics and Gerontology 45
  • Pharmacology 53
  • Animal Science and Zoology 59
  • Rehabilitation 30
  • Cancer Research 58
Replace Lin Lei with:
Lin Lei China
Jung‐Heun Ha South Korea
Xian Yang China
Maria Tsantarliotou Greece
Van‐Long Truong South Korea
Sun Woo Jin South Korea
Tianyi Guo China
Seong Yeon Hwang South Korea
Valeria Curti Italy
Xuan Ma relative to Lin Lei China Lin Lei's profile →
Citations per field
00.5×3.2×
Lin Lei · 1×
Citations per year

Countries citing papers authored by Xuan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xuan Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xuan Ma Line = papers co-authored together Xuan Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201679
2 202163
3 202239
4 202333
5 201833
6 201631
7 201731
8 202030
9 201529
10 201925
11 202324
12 202023
13 202122
14 202021
15 202120
16 202316
17 202215
18 201815
19 202113
20 202213

About Xuan Ma

Xuan Ma is a scholar working on Molecular Biology, Physiology, Genetics, Pharmacology and Health, Toxicology and Mutagenesis, having authored 63 papers that have together received 771 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Reproductive biology and impacts on aquatic species (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Exercise and Physiological Responses (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Geriatrics and Gerontology (45 citations), Pharmacology (53 citations), Animal Science and Zoology (59 citations), Rehabilitation (30 citations) and Cancer Research (58 citations). Xuan Ma has collaborated with scholars based in China, South Korea and Philippines. Frequent co-authors include Lei Yao, Hongbo Hu, Chong Zhao, Shutao Yin, Lixing Cao, Shuang Zhao, Dejun Huang, Panfeng Zhao, Jie Sun and Shenfei Long. Their work appears in journals such as Phytotherapy Research, Environmental Pollution, Nutrients, Poultry Science and Foods.

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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