Ran Wei
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 5
- Cancer-related gene regulation 4
- Co-authors
- Gerardo G. Mackenzie (8 shared papers)Yuefei Wang (4 shared papers)Robert M. Hackman (3 shared papers)Jun Luo (3 shared papers)Yuhong Xiao (5 shared papers)Huiping Yuan (3 shared papers)Yasuteru Muragaki (1 shared paper)Wei Xu (1 shared paper)
- Journals
- Food & Function (3 papers)Journal of Experimental & Clinical Cancer Research (3 papers)Diabetes & Metabolic Syndrome Clinical Research & Reviews (2 papers)Experimental Cell Research (2 papers)Food Hydrocolloids (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Ran Wei
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Applied Microbiology and Biotechnology 54
- Cancer Research 277
- Biochemistry 97
- Pathology and Forensic Medicine 195
- Biological Psychiatry 27
Countries citing papers authored by Ran Wei
This map shows the geographic impact of Ran 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 Ran Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Wei more than expected).
Fields of papers citing papers by Ran Wei
This network shows the impact of papers produced by Ran 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 Ran Wei. The network helps show where Ran Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 144 | |
| 2 | 2018 | 139 | |
| 3 | 2022 | 94 | |
| 4 | 2019 | 75 | |
| 5 | 2019 | 63 | |
| 6 | 2011 | 59 | |
| 7 | 2018 | 53 | |
| 8 | 2019 | 44 | |
| 9 | 2014 | 43 | |
| 10 | 2020 | 42 | |
| 11 | 2021 | 32 | |
| 12 | 2018 | 27 | |
| 13 | 2015 | 22 | |
| 14 | 2023 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 21 | |
| 17 | 2024 | 18 | |
| 18 | 2012 | 18 | |
| 19 | 2022 | 18 | |
| 20 | 2012 | 17 |
About Ran Wei
Ran Wei is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (6 papers), RNA modifications and cancer (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer-related gene regulation (4 papers), Phytochemicals and Antioxidant Activities (4 papers), Cancer-related molecular mechanisms research (4 papers), Proteins in Food Systems (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (54 citations), Cancer Research (277 citations), Biochemistry (97 citations), Pathology and Forensic Medicine (195 citations) and Biological Psychiatry (27 citations). Ran Wei has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Gerardo G. Mackenzie, Yuefei Wang, Robert M. Hackman, Jun Luo, Yuhong Xiao, Huiping Yuan, Yasuteru Muragaki, Wei Xu, Yi Song and Limin Mao. Their work appears in journals such as Food & Function, Journal of Experimental & Clinical Cancer Research, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Experimental Cell Research and Food Hydrocolloids.
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.