Min Xia

13.9k citations
297 papers · 11.3k indexed · 2 hit papers · h-index 56

Min Xia

279 papers receiving 11.1k citations

Hit Papers

Alistipes in...562014202620182022250500750

Peers

Min Xia
Comparison fields: 5 of 165
  • Biochemistry 1.8k
  • Nephrology 844
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Physiology 372
  • Molecular Biology 4.9k
Replace Rosanna Di Paola with:
Rosanna Di Paola Italy
Toshikazu Yoshikawa Japan
Subramaniam Pennathur United States
Mark T. Quinn United States
Yü Huang Hong Kong
Makoto Makishima Japan
Hua Cai United States
Suowen Xu China
Ramaroson Andriantsitohaina France
Zhihong Yang China
Min Xia relative to Rosanna Di Paola Italy Rosanna Di Paola's profile →
Citations per field
00.5×2.6×
Rosanna Di Paola · 1×
Citations per year

Countries citing papers authored by Min Xia

Since Specialization
Citations

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

Fields of papers citing papers by Min Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 202416
4 20231
5 20236
6 20234
7 20236
8 20231
9 20226
10 202194
11 202056
12 201826
13 201710
14 20154
15 201317
16 201327
17 20111
18 201032
19 200859
20
Supplementation of black rice pigment fraction improves antioxidant and anti-inflammatory status in patients with coronary heart disease.
200783

About Min Xia

Min Xia is a scholar working on Physiology, Nephrology, Biochemistry, Endocrinology, Diabetes and Metabolism and Immunology, having authored 297 papers that have together received 11.3k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (28 papers), Liver Disease Diagnosis and Treatment (19 papers), Cholesterol and Lipid Metabolism (19 papers), Atherosclerosis and Cardiovascular Diseases (18 papers), Folate and B Vitamins Research (17 papers), Calcium signaling and nucleotide metabolism (17 papers), Diet, Metabolism, and Disease (17 papers) and Renal Diseases and Glomerulopathies (16 papers). The work is most often cited by research in Biochemistry (1.8k citations), Nephrology (844 citations), Endocrinology, Diabetes and Metabolism (1.5k citations), Physiology (372 citations) and Molecular Biology (4.9k citations). Min Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Krishna M. Boini, Wenhua Ling, Pin-Lan Li, Justine M. Abais, Pin‐Lan Li, Dan Li, Yang Zhang, Honghui Guo, Ruifang Sun and Chun Zhang. Their work appears in journals such as The FASEB Journal, Cellular Physiology and Biochemistry, Atherosclerosis, The Journal of Clinical Endocrinology & Metabolism and PLoS ONE.

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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