Wei Mu

7.8k citations
78 papers · 6.1k indexed · 1 hit paper · h-index 40

Impact in

Papers in

Wei Mu

78 papers receiving 5.9k citations

Hit Papers

Hyperuricemia induces endothelial dysfunction 2005 · 974 citations
9742005202620122019250500750

Peers

Wei Mu
Comparison fields: 5 of 142
  • Nephrology 3.0k
  • Pathology and Forensic Medicine 1.2k
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Rheumatology 525
  • Epidemiology 1.1k
Replace Katherine Gordon with:
Katherine Gordon United States
María Dolores Sánchez-Niño Spain
Kazuhiko Tsuruya Japan
Yusuke Suzuki Japan
Jaime Herrera-Acosta Mexico
Tatsuo Hosoya Japan
José Manuel Valdivielso Spain
Berthold Hocher Germany
Shougang Zhuang United States
Guangyan Cai China
Wei Mu relative to Katherine Gordon United States Katherine Gordon's profile →
Citations per field
00.5×
Katherine Gordon · 1×
Citations per year

Countries citing papers authored by Wei Mu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20237
3 202239
4 202142
5 20201
6 20201
7 20151
8 20145
9 2010127
10 200842
11 200729
12 200678
13 2006110
14 200612
15 200551
16 2005129
17 200518
18 199977
19
[Determination of copper, iron and zinc in hair of mentally retarded children by oscillopolarography].
19981
20 199869

About Wei Mu

Wei Mu is a scholar working on Nephrology, Complementary and alternative medicine, Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 78 papers that have together received 6.1k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (11 papers), Diet, Metabolism, and Disease (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Chronic Kidney Disease and Diabetes (8 papers), Traditional Chinese Medicine Studies (7 papers), Renal Diseases and Glomerulopathies (7 papers), Alcohol Consumption and Health Effects (7 papers) and Case Reports on Hematomas (5 papers). The work is most often cited by research in Nephrology (3.0k citations), Pathology and Forensic Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (1.0k citations), Rheumatology (525 citations) and Epidemiology (1.1k citations). Wei Mu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Richard J. Johnson, Carmen Roncal, Takahiko Nakagawa, Hui Y. Lan, David J. Nikolic‐Paterson, Robert C. Atkins, Prudence A. Hill, Sharma Prabhakar, Yuri Y. Sautin and Edward R. Block. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, American Journal of Physiology-Renal Physiology, Evidence-based Complementary and Alternative Medicine and BMJ Open.

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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