Gang Wei
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aging top 10%
Papers in
-
- RNA Research and Splicing 17
- RNA modifications and cancer 17
- RNA and protein synthesis mechanisms 6
- Cancer-related gene regulation 5
- RNA regulation and disease 4
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 5
- Co-authors
- Ting Ni (34 shared papers)Miao Han (5 shared papers)Ting Shen (4 shared papers)Haihui Fu (6 shared papers)Yifan Song (4 shared papers)Ting Shen (5 shared papers)Qi Jia (4 shared papers)Xiaomeng Sun (1 shared paper)
- Journals
- Aging (4 papers)Nucleic Acids Research (3 papers)Biochemical and Biophysical Research Communications (3 papers)Scientific Reports (2 papers)Protein & Cell (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Gang Wei
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 282
- Aging 23
- Molecular Biology 808
- Biological Psychiatry 20
- Neurology 34
Countries citing papers authored by Gang Wei
This map shows the geographic impact of Gang 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 Gang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Wei more than expected).
Fields of papers citing papers by Gang Wei
This network shows the impact of papers produced by Gang 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 Gang Wei. The network helps show where Gang Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Gang 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | 2017 | 85 | |
| 3 | 2016 | 83 | |
| 4 | 2017 | 77 | |
| 5 | 2017 | 53 | |
| 6 | 2015 | 50 | |
| 7 | 2019 | 44 | |
| 8 | 2018 | 43 | |
| 9 | 2019 | 37 | |
| 10 | 2020 | 32 | |
| 11 | 2015 | 30 | |
| 12 | 2020 | 30 | |
| 13 | 2014 | 29 | |
| 14 | 2023 | 27 | |
| 15 | 2018 | 27 | |
| 16 | 2017 | 25 | |
| 17 | 2020 | 24 | |
| 18 | 2021 | 23 | |
| 19 | 2007 | 22 | |
| 20 | 2019 | 20 |
About Gang Wei
Gang Wei is a scholar working on Molecular Biology, Cancer Research, Physiology, Oncology and Surgery, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (17 papers), RNA modifications and cancer (17 papers), Cancer-related molecular mechanisms research (8 papers), RNA and protein synthesis mechanisms (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (5 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Cancer Research (282 citations), Aging (23 citations), Molecular Biology (808 citations), Biological Psychiatry (20 citations) and Neurology (34 citations). Gang Wei has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Ting Ni, Miao Han, Ting Shen, Haihui Fu, Yifan Song, Ting Shen, Qi Jia, Xiaomeng Sun, Hongbo Nie and Bin Zhou. Their work appears in journals such as Aging, Nucleic Acids Research, Biochemical and Biophysical Research Communications, Scientific Reports and Protein & Cell.
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.