Wei Mao
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
- Aquatic life and conservation
Papers in
-
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
-
- Epigenetics and DNA Methylation 2
- Co-authors
- Xueren Feng (3 shared papers)Wenshu Liu (1 shared paper)Suxu He (1 shared paper)Zhigang Zhou (1 shared paper)Xiang Wang (3 shared papers)Hongjiao Li (1 shared paper)Bin Wang (1 shared paper)Xiang Wang (1 shared paper)
- Journals
- Clinica Chimica Acta (3 papers)Cancers (2 papers)Oncology Reports (1 paper)Acta Pharmacologica Sinica (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaSouth KoreaHong Kong
In The Last Decade
Wei Mao
27 papers receiving 382 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 99
- Aquatic Science 50
- Immunology 103
- Clinical Biochemistry 24
- Virology 15
Countries citing papers authored by Wei Mao
This map shows the geographic impact of Wei 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 Wei Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Mao more than expected).
Fields of papers citing papers by Wei Mao
This network shows the impact of papers produced by Wei 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 Wei Mao. The network helps show where Wei Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 77 | |
| 2 | 2011 | 55 | |
| 3 | 2012 | 37 | |
| 4 | 2018 | 29 | |
| 5 | 2011 | 26 | |
| 6 | 2018 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2009 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2024 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2016 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2009 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2024 | 4 |
About Wei Mao
Wei Mao is a scholar working on Immunology, Molecular Biology, Epidemiology, Cancer Research and Oncology, having authored 29 papers that have together received 386 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Antimicrobial Peptides and Activities (2 papers), Immune Cell Function and Interaction (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Epigenetics and DNA Methylation (2 papers), Software-Defined Networks and 5G (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (99 citations), Aquatic Science (50 citations), Immunology (103 citations), Clinical Biochemistry (24 citations) and Virology (15 citations). Wei Mao has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Xueren Feng, Wenshu Liu, Suxu He, Zhigang Zhou, Xiang Wang, Hongjiao Li, Bin Wang, Xiang Wang, Hee-Jung Wang and Bong‐Wan Kim. Their work appears in journals such as Clinica Chimica Acta, Cancers, Oncology Reports, Acta Pharmacologica Sinica and International Immunopharmacology.
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.