Guangwei Wei
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 10
- Cancer-related gene regulation 6
- RNA Research and Splicing 4
- RNA modifications and cancer 3
- Glycosylation and Glycoproteins Research 2
- Oncology 12
- Cancer-related Molecular Pathways 7
- Co-authors
- Jian‐Hua Mao (15 shared papers)Pengju Zhang (11 shared papers)Mingxin Wen (12 shared papers)Yunshan Wang (8 shared papers)Yuli Wang (6 shared papers)Yueyong Liu (5 shared papers)Yong-Won Kwon (2 shared papers)Panpan Zhan (4 shared papers)
- Journals
- Oncotarget (4 papers)Biochemical and Biophysical Research Communications (3 papers)Oncogene (3 papers)Molecular Cancer (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Guangwei Wei
39 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Cancer Research 335
- Oncology 453
- Molecular Biology 1.1k
- Cell Biology 114
- Geriatrics and Gerontology 20
Countries citing papers authored by Guangwei Wei
This map shows the geographic impact of Guangwei 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 Guangwei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangwei Wei more than expected).
Fields of papers citing papers by Guangwei Wei
This network shows the impact of papers produced by Guangwei 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 Guangwei Wei. The network helps show where Guangwei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangwei 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 157 | |
| 2 | 2006 | 115 | |
| 3 | 2007 | 114 | |
| 4 | 2014 | 113 | |
| 5 | 2004 | 84 | |
| 6 | 2015 | 71 | |
| 7 | 2015 | 69 | |
| 8 | 2016 | 67 | |
| 9 | 2013 | 67 | |
| 10 | 2013 | 67 | |
| 11 | 2015 | 62 | |
| 12 | 2012 | 57 | |
| 13 | 2018 | 55 | |
| 14 | 2018 | 53 | |
| 15 | 2010 | 52 | |
| 16 | 2007 | 49 | |
| 17 | 2014 | 43 | |
| 18 | 2013 | 41 | |
| 19 | 2013 | 36 | |
| 20 | 2014 | 30 |
About Guangwei Wei
Guangwei Wei is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Cell Biology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Cancer-related Molecular Pathways (7 papers), Cancer-related gene regulation (6 papers), Microtubule and mitosis dynamics (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cancer Research (335 citations), Oncology (453 citations), Molecular Biology (1.1k citations), Cell Biology (114 citations) and Geriatrics and Gerontology (20 citations). Guangwei Wei has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Jian‐Hua Mao, Pengju Zhang, Mingxin Wen, Yunshan Wang, Yuli Wang, Yueyong Liu, Yong-Won Kwon, Panpan Zhan, Amy Tang and Eric J. Huang. Their work appears in journals such as Oncotarget, Biochemical and Biophysical Research Communications, Oncogene, Molecular Cancer and Cancer Research.
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.