Xiaobin Mei

819 citations
22 papers · 675 · h-index 12

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Gout, Hyperuricemia, Uric Acid
    • Advanced Glycation End Products research

Papers in

    • Inflammasome and immune disorders 4
    • Peroxisome Proliferator-Activated Receptors 2
    • IL-33, ST2, and ILC Pathways 3
    • Psoriasis: Treatment and Pathogenesis 2

Xiaobin Mei

22 papers receiving 671 citations

Peers

Xiaobin Mei
Comparison fields: 5 of 81
  • Nephrology 104
  • Clinical Biochemistry 48
  • Immunology 146
  • Pharmacology 45
  • Molecular Biology 254
Replace Qi Bian with:
Qi Bian China
Takafumi Morisaki Japan
Bo Jin China
Huabin Ma China
Ewa Aleksandrowicz Poland
Toshimasa Takahashi Japan
Yin Li China
Bingbing Zhu China
Kameswaran Ravichandran United States
Yaxi Chen China
Xiaobin Mei relative to Qi Bian China Qi Bian's profile →
Citations per field
00.5×1.5×
Qi Bian · 1×
Citations per year

Countries citing papers authored by Xiaobin Mei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018167
2 201986
3 201786
4 201955
5 202046
6 202131
7 201330
8 202029
9 201726
10 201926
11 201520
12 202317
13 201510
14 20149
15 20218
16 20228
17 20225
18 20234
19 20044
20
Peroxisome proliferator-activated receptor γ Pro12Ala polymorphism decrease the risk of diabetic nephropathy in type 2 diabetes: a meta analysis.
20154

About Xiaobin Mei

Xiaobin Mei is a scholar working on Molecular Biology, Immunology, Physiology, Nephrology and Genetics, having authored 22 papers that have together received 675 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Renal Diseases and Glomerulopathies (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Biomedical Research and Pathophysiology (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Nephrology (104 citations), Clinical Biochemistry (48 citations), Immunology (146 citations), Pharmacology (45 citations) and Molecular Biology (254 citations). Xiaobin Mei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jiajun Fan, Dianwen Ju, Jingyun Luan, Xuyao Zhang, Wei Chen, Qi Bian, Tao Ding, Yilan Shen, Shaofei Wang and Wenjing Zai. Their work appears in journals such as Applied Microbiology and Biotechnology, Frontiers in Immunology, Tumor Biology, Cell Death Discovery and Molecular Biology Reports.

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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