Mi Wang

567 citations
28 papers · 380 · h-index 11

Impact in

Papers in

Mi Wang

26 papers receiving 378 citations

Peers

Mi Wang
Comparison fields: 5 of 83
  • Parasitology 28
  • Immunology 58
  • Nephrology 19
  • Sensory Systems 12
  • Epidemiology 70
Replace Nolan K. Maier with:
Nolan K. Maier United States
Subhash Mehto India
Nathália Vieira Batista Brazil
Aurélie Claës France
S C Sicher United States
Vívian Louise Soares de Oliveira Brazil
Akira Okazawa Japan
Shan Zhang China
Farooq Riaz China
Houda Belguendouz Algeria
Mi Wang relative to Nolan K. Maier United States Nolan K. Maier's profile →
Citations per field
00.5×
Nolan K. Maier · 1×
Citations per year

Countries citing papers authored by Mi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201087
2 201844
3 201640
4 202034
5 202328
6 202126
7 201520
8 202015
9 202113
10 201712
11 201711
12 20219
13 20218
14 20218
15 20194
16 20233
17 20233
18 20183
19 20203
20
Discussion on the High Initial Point Cutting into the Research of Deficiency-Cold Zheng by cDNA Microarray and Biological Information
20032

About Mi Wang

Mi Wang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Small Animals and Nephrology, having authored 28 papers that have together received 380 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cholesterol and Lipid Metabolism (2 papers), Aortic aneurysm repair treatments (2 papers), Traditional Chinese Medicine Studies (2 papers), Inflammasome and immune disorders (2 papers), Veterinary Pharmacology and Anesthesia (2 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Parasitology (28 citations), Immunology (58 citations), Nephrology (19 citations), Sensory Systems (12 citations) and Epidemiology (70 citations). Mi Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Alan R. Tall, Andrew Murphy, Kathryn J. Moore, Tamara A. Pagler, Frederick R. Maxfield, Mousumi Mondal, Marit Westerterp, Yan Wang, Pin‐Lan Li and Wang-xian Tang. Their work appears in journals such as Journal of Visualized Experiments, Frontiers in Psychology, Molecular BioSystems, Clinical Gastroenterology and Hepatology and Oncotarget.

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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