Mao Mu

1.1k citations
34 papers · 882 · h-index 14

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
  • Pharmacology top 10%
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Liver physiology and pathology 10
    • Hepatitis C virus research 4
    • Liver Disease Diagnosis and Treatment 7
    • Hepatitis B Virus Studies 3
    • Autophagy in Disease and Therapy 2

Mao Mu

34 papers receiving 874 citations

Peers

Mao Mu
Comparison fields: 5 of 98
  • Hepatology 202
  • Pharmacology 63
  • Epidemiology 203
  • Cancer Research 91
  • Sensory Systems 27
Replace Adisak Wongkajornsilp with:
Adisak Wongkajornsilp Thailand
Xueke Zhao China
Min Fang China
Shuqin Liu China
Rong Xu China
Guixiang Tian China
Wonbeak Yoo South Korea
Wensong Ge China
Qiang Xia China
Mao Mu relative to Adisak Wongkajornsilp Thailand Adisak Wongkajornsilp's profile →
Citations per field
00.5×3.5×
Adisak Wongkajornsilp · 1×
Citations per year

Countries citing papers authored by Mao Mu

Since Specialization
Citations

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

Fields of papers citing papers by Mao Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018153
2 2016128
3 2017102
4 201766
5 202055
6 201949
7 201847
8 201833
9 201831
10 201331
11 199731
12 201526
13 201324
14 202217
15 201413
16 202111
17 202111
18 202510
19 20168
20 20167

About Mao Mu

Mao Mu is a scholar working on Hepatology, Epidemiology, Molecular Biology, Pharmacology and Cancer Research, having authored 34 papers that have together received 882 indexed citations. Recurring topics across this work include Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers), Enzyme Catalysis and Immobilization (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Hepatology (202 citations), Pharmacology (63 citations), Epidemiology (203 citations), Cancer Research (91 citations) and Sensory Systems (27 citations). Mao Mu has collaborated with scholars based in China, Norway and Germany. Frequent co-authors include Xueke Zhao, Juanjuan Zhu, Yiju Cheng, Shuang Lü, Shi Zuo, Baofang Zhang, Jing Yang, Yaxin Hu, Lei Yu and Yumei Yao. Their work appears in journals such as Scientific Reports, International Immunopharmacology, Biochemical and Biophysical Research Communications, Clinical Epigenetics 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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