Dawei Wei
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality
Papers in
-
- Cancer-related molecular mechanisms research 17
- MicroRNA in disease regulation 12
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- Muscle Physiology and Disorders 10
- Circular RNAs in diseases 7
- RNA modifications and cancer 5
- Co-authors
- Xingping Wang (17 shared papers)Zhuo-Ma Luoreng (15 shared papers)Linsen Zan (13 shared papers)Sayed Haidar Abbas Raza (22 shared papers)Jian Yang (6 shared papers)Rajwali Khan (11 shared papers)Yun Ma (12 shared papers)Peng Jiao (3 shared papers)
- Journals
- Gene (5 papers)Frontiers in Veterinary Science (4 papers)Animals (4 papers)Research in Veterinary Science (4 papers)International Journal of Biological Macromolecules (3 papers)
- Partner nations
- ChinaSaudi ArabiaAustralia
In The Last Decade
Dawei Wei
56 papers receiving 834 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 276
- Animal Science and Zoology 88
- Biochemistry 54
- Genetics 206
- Agronomy and Crop Science 73
Countries citing papers authored by Dawei Wei
This map shows the geographic impact of Dawei Wei'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 Dawei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Wei more than expected).
Fields of papers citing papers by Dawei Wei
This network shows the impact of papers produced by Dawei Wei. 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 Dawei Wei. The network helps show where Dawei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Wei, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 2017 | 54 | |
| 3 | 2018 | 43 | |
| 4 | 2020 | 42 | |
| 5 | 2018 | 38 | |
| 6 | 2017 | 33 | |
| 7 | 2018 | 30 | |
| 8 | 2021 | 29 | |
| 9 | 2023 | 28 | |
| 10 | 2018 | 26 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2018 | 24 | |
| 14 | 2017 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2022 | 18 | |
| 17 | 2018 | 17 | |
| 18 | 2022 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2022 | 16 |
About Dawei Wei
Dawei Wei is a scholar working on Cancer Research, Molecular Biology, Agronomy and Crop Science, Genetics and Geriatrics and Gerontology, having authored 63 papers that have together received 838 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), MicroRNA in disease regulation (12 papers), Muscle Physiology and Disorders (10 papers), Circular RNAs in diseases (7 papers), Genetic and phenotypic traits in livestock (6 papers), Adipose Tissue and Metabolism (6 papers), RNA modifications and cancer (5 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). The work is most often cited by research in Cancer Research (276 citations), Animal Science and Zoology (88 citations), Biochemistry (54 citations), Genetics (206 citations) and Agronomy and Crop Science (73 citations). Dawei Wei has collaborated with scholars based in China, Saudi Arabia and Australia. Frequent co-authors include Xingping Wang, Zhuo-Ma Luoreng, Linsen Zan, Sayed Haidar Abbas Raza, Jian Yang, Rajwali Khan, Yun Ma, Peng Jiao, Jia Li and Linsheng Gui. Their work appears in journals such as Gene, Frontiers in Veterinary Science, Animals, Research in Veterinary Science and International Journal of Biological Macromolecules.
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.