Xiaoli Ma

1.1k citations
49 papers · 856 · h-index 18

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Natural product bioactivities and synthesis 3
    • Liver Disease Diagnosis and Treatment 6

Xiaoli Ma

49 papers receiving 836 citations

Peers

Xiaoli Ma
Comparison fields: 5 of 104
  • Biochemistry 98
  • Pathology and Forensic Medicine 129
  • Biochemistry 42
  • Pharmacology 59
  • Endocrinology, Diabetes and Metabolism 109
Replace Uday Kumar Putcha with:
Uday Kumar Putcha India
Wentao Liu China
Yong-Kwan Cheong South Korea
Marco Raffaele Italy
Pengqi Wang China
Jiangzheng Liu China
Zhanxiang Zhou United States
Arzu Seven Türkiye
Ya-Ling Chen Taiwan
Mabel Buelna‐Chontal Mexico
Xiaoli Ma relative to Uday Kumar Putcha India Uday Kumar Putcha's profile →
Citations per field
00.5×4.7×
Uday Kumar Putcha · 1×
Citations per year

Countries citing papers authored by Xiaoli Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201776
2 202369
3 199665
4 199360
5 202059
6 201757
7 198936
8 201332
9 201728
10 200926
11 199725
12 199923
13 202122
14 202419
15 201619
16 201619
17 202318
18 201717
19
Fenofibrate, a PPARα agonist, protect proximal tubular cells from albumin-bound fatty acids induced apoptosis via the activation of NF-kB.
201516
20 201715

About Xiaoli Ma

Xiaoli Ma is a scholar working on Molecular Biology, Epidemiology, Ophthalmology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 856 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (7 papers), Alcohol Consumption and Health Effects (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Corneal Surgery and Treatments (4 papers), Corneal surgery and disorders (4 papers), Gastrointestinal motility and disorders (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Biochemistry (98 citations), Pathology and Forensic Medicine (129 citations), Biochemistry (42 citations), Pharmacology (59 citations) and Endocrinology, Diabetes and Metabolism (109 citations). Xiaoli Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Enrique Baraona, Charles S. Lieber, Jicui Chen, Yuantao Liu, Yuchao Zhang, Qian Liu, Baohua Kong, Yangyang Feng, Qian Chen and Rui Zhang. Their work appears in journals such as Journal of Functional Foods, Pharmacognosy Magazine, Cellular Physiology and Biochemistry, Oncotarget and Hepatology.

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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