Anwei Mao
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Kruppel-like factors research 2
- Circular RNAs in diseases 2
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Jiazhe Liu (7 shared papers)Weiyan Liu (6 shared papers)Junbin Ding (4 shared papers)Jingfeng Lu (3 shared papers)Hongchang Li (4 shared papers)Yanxia Liu (2 shared papers)Xiang Zhou (1 shared paper)Sen Wang (1 shared paper)
- Journals
- Liver Transplantation (2 papers)Applied Biochemistry and Biotechnology (1 paper)Neoplasia (1 paper)Cell Cycle (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Anwei Mao
15 papers receiving 472 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 183
- Transplantation 30
- Genetics 85
- Drug Discovery 1
- Molecular Biology 316
Countries citing papers authored by Anwei Mao
This map shows the geographic impact of Anwei Mao'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 Anwei Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anwei Mao more than expected).
Fields of papers citing papers by Anwei Mao
This network shows the impact of papers produced by Anwei Mao. 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 Anwei Mao. The network helps show where Anwei Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Anwei Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 135 | |
| 2 | 2020 | 100 | |
| 3 | 2019 | 52 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 34 | |
| 6 | Catalpol ameliorates diabetic atherosclerosis in diabetic rabbits. | 2016 | 29 |
| 7 | 2020 | 26 | |
| 8 | 2008 | 21 | |
| 9 | 2007 | 14 | |
| 10 | 2014 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 3 | |
| 13 | 2018 | 3 | |
| 14 | The hypothesis of an effective strategy for resistance of hepatocellular carcinoma to therapy-autophagy. | 2011 | 2 |
| 15 | 2023 | 1 |
About Anwei Mao
Anwei Mao is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Surgery and Pharmacology, having authored 15 papers that have together received 478 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Autophagy in Disease and Therapy (3 papers), Kruppel-like factors research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer-related molecular mechanisms research (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Circular RNAs in diseases (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Cancer Research (183 citations), Transplantation (30 citations), Genetics (85 citations), Drug Discovery (1 citation) and Molecular Biology (316 citations). Anwei Mao has collaborated with scholars based in China and United States. Frequent co-authors include Jiazhe Liu, Weiyan Liu, Junbin Ding, Jingfeng Lu, Hongchang Li, Yanxia Liu, Xiang Zhou, Sen Wang, Hwa Liang Leo and Shangda Yang. Their work appears in journals such as Liver Transplantation, Applied Biochemistry and Biotechnology, Neoplasia, Cell Cycle and Cell Death and Disease.
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.