Ang Ma

808 citations
25 papers · 613 · h-index 14

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
  • Pharmacology top 10%
    • Fungal Biology and Applications
    • Cannabis and Cannabinoid Research

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Peroxisome Proliferator-Activated Receptors 3
    • Fungal Biology and Applications 5

Ang Ma

23 papers receiving 608 citations

Peers

Ang Ma
Comparison fields: 5 of 91
  • Nephrology 58
  • Pharmacology 108
  • Geriatrics and Gerontology 17
  • Complementary and alternative medicine 35
  • Neurology 35
Replace Jing Zong with:
Jing Zong China
Xing Wei China
Umesh Kumar Singh India
Simiao Qiao China
Chenrui Li China
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Wenge Huang China
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Ang Ma relative to Jing Zong China Jing Zong's profile →
Citations per field
00.5×1.5×1.8×
Jing Zong · 1×
Citations per year

Countries citing papers authored by Ang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ang 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 Ang Ma Line = papers co-authored together Ang Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019153
2 201772
3 201266
4 201560
5 202138
6 201738
7 202130
8 201525
9 202218
10 202017
11 202216
12 201914
13 202414
14 202013
15 20229
16 20179
17 20226
18 20254
19 20224
20 20233

About Ang Ma

Ang Ma is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Surgery and Biomedical Engineering, having authored 25 papers that have together received 613 indexed citations. Recurring topics across this work include Fungal Biology and Applications (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Complementary and Alternative Medicine Studies (2 papers), Pancreatic function and diabetes (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Advanced Graph Neural Networks (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Nephrology (58 citations), Pharmacology (108 citations), Geriatrics and Gerontology (17 citations), Complementary and alternative medicine (35 citations) and Neurology (35 citations). Ang Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Baoxue Yang, Min Li, Haibo Zhu, Jinzhao He, Xiaoqiang Geng, Guangying Shao, Shuqian Lin, Jianhua Ran, Yingli Jia and Yuanyuan An. Their work appears in journals such as Acta Pharmacologica Sinica, Journal of Lipid Research, Scientific Reports, Neuropharmacology and Food Bioscience.

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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