Mao Mu
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
- Hepatology 14
- Liver physiology and pathology 10
- Hepatitis C virus research 4
-
- Connective Tissue Growth Factor Research 2
- Enzyme Catalysis and Immobilization 2
- Co-authors
- Xueke Zhao (15 shared papers)Juanjuan Zhu (4 shared papers)Yiju Cheng (5 shared papers)Jing Yang (2 shared papers)Shi Zuo (2 shared papers)Shuang Lü (2 shared papers)Baofang Zhang (4 shared papers)Yumei Yao (4 shared papers)
- Journals
- Scientific Reports (6 papers)International Immunopharmacology (2 papers)Clinical Epigenetics (1 paper)Human Gene Therapy (1 paper)Biotechnology Letters (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Mao Mu
33 papers receiving 835 citations
Peers
Comparison fields: 5 of 98
- Hepatology 217
- Pharmacology 69
- Epidemiology 254
- Cancer Research 97
- Sensory Systems 28
Countries citing papers authored by Mao Mu
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
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.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 148 | |
| 2 | 2016 | 122 | |
| 3 | 2017 | 96 | |
| 4 | 2017 | 62 | |
| 5 | 2020 | 53 | |
| 6 | 2019 | 46 | |
| 7 | 2018 | 45 | |
| 8 | 2018 | 32 | |
| 9 | 1997 | 31 | |
| 10 | 2013 | 30 | |
| 11 | 2018 | 30 | |
| 12 | 2015 | 26 | |
| 13 | 2013 | 24 | |
| 14 | 2022 | 16 | |
| 15 | 2014 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2016 | 8 | |
| 19 | 2016 | 7 | |
| 20 | 2025 | 6 |
About Mao Mu
Mao Mu is a scholar working on Hepatology, Molecular Biology, Epidemiology, Pharmacology and Cancer Research, having authored 34 papers that have together received 844 indexed citations. Recurring topics across this work include Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), MicroRNA in disease regulation (3 papers), Connective Tissue Growth Factor Research (2 papers), Enzyme Catalysis and Immobilization (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Hepatology (217 citations), Pharmacology (69 citations), Epidemiology (254 citations), Cancer Research (97 citations) and Sensory Systems (28 citations). Mao Mu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xueke Zhao, Juanjuan Zhu, Yiju Cheng, Jing Yang, Shi Zuo, Shuang Lü, Baofang Zhang, Yumei Yao, Lei Yu and Yaxin Hu. Their work appears in journals such as Scientific Reports, International Immunopharmacology, Clinical Epigenetics, Human Gene Therapy and Biotechnology Letters.
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.