Mu Wang

5.8k citations
66 papers · 3.1k · h-index 30

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 8
    • DNA Repair Mechanisms 7
    • Ubiquitin and proteasome pathways 5
    • Advanced Biosensing Techniques and Applications 4
    • Mitochondrial Function and Pathology 3
    • Advanced Proteomics Techniques and Applications 17
    • Mass Spectrometry Techniques and Applications 14

Mu Wang

65 papers receiving 3.0k citations

Peers

Mu Wang
Comparison fields: 5 of 133
  • Microbiology 168
  • Cancer Research 396
  • Molecular Biology 1.7k
  • Spectroscopy 386
  • Immunology 451
Replace Youhe Gao with:
Youhe Gao China
Sebastian Wiese Germany
Laura G. Dubois United States
Danijel Djukovic United States
Kenneth R. McLeish United States
Frode S. Berven Norway
Bettina Sarg Austria
Jeffrey C. Silva United States
David P. De Souza Australia
Yutaka Yoshida Japan
Mu Wang relative to Youhe Gao China Youhe Gao's profile →
Citations per field
00.5×1.5×
Youhe Gao · 1×
Citations per year

Countries citing papers authored by Mu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017291
2 2015208
3 2003194
4 2004194
5 2010137
6 2009120
7 2007119
8 2009105
9 2004101
10 2008100
11 200383
12 200783
13 201176
14 200469
15 201562
16 200561
17 199958
18 200757
19 200956
20 200049

About Mu Wang

Mu Wang is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Immunology and Cancer Research, having authored 66 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (8 papers), DNA Repair Mechanisms (7 papers), Ubiquitin and proteasome pathways (5 papers), Advanced Biosensing Techniques and Applications (4 papers), Mitochondrial Function and Pathology (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Microbiology (168 citations), Cancer Research (396 citations), Molecular Biology (1.7k citations), Spectroscopy (386 citations) and Immunology (451 citations). Mu Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Suk‐Hee Lee, Xianyin Lai, Jinsam You, Kerry G. Bemis, Samantha Deitz McElyea, Michael G. House, Stuart Sherman, Murray Korc, Ross Cocklin and Keshore R. Bidasee. Their work appears in journals such as Journal of Biological Chemistry, PROTEOMICS - CLINICAL APPLICATIONS, Biochemistry, Scientific Reports and Diabetes.

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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