Wei Gu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 10%
- Galectins and Cancer Biology
Papers in
-
- Glycosylation and Glycoproteins Research 7
- RNA modifications and cancer 4
- Circular RNAs in diseases 2
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Tomohiko Fukuda (6 shared papers)Jianguo Gu (6 shared papers)Tomoya Isaji (6 shared papers)Surong Fang (7 shared papers)Zhenhua Yang (6 shared papers)Yuguang Du (2 shared papers)Yan Tan (4 shared papers)Jue Wang (1 shared paper)
- Journals
- Critical Care (3 papers)Journal of Biological Chemistry (3 papers)The FASEB Journal (2 papers)Tuberculosis (1 paper)Cancer Letters (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Wei Gu
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 286
- Immunology 240
- Molecular Biology 696
- Cell Biology 101
- Immunology and Allergy 24
Countries citing papers authored by Wei Gu
This map shows the geographic impact of Wei Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Gu more than expected).
Fields of papers citing papers by Wei Gu
This network shows the impact of papers produced by Wei Gu. 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 Gu. The network helps show where Wei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Gu, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 124 | |
| 2 | 2015 | 80 | |
| 3 | 2014 | 78 | |
| 4 | 2012 | 76 | |
| 5 | 2015 | 69 | |
| 6 | 2021 | 61 | |
| 7 | 2013 | 58 | |
| 8 | 2019 | 54 | |
| 9 | 2023 | 53 | |
| 10 | 2007 | 44 | |
| 11 | 2015 | 40 | |
| 12 | 2011 | 39 | |
| 13 | 2020 | 37 | |
| 14 | 2013 | 31 | |
| 15 | 2019 | 25 | |
| 16 | 2018 | 21 | |
| 17 | 2015 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2013 | 19 | |
| 20 | 2022 | 17 |
About Wei Gu
Wei Gu is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Genetics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Galectins and Cancer Biology (4 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer, Lipids, and Metabolism (2 papers), Circular RNAs in diseases (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Cancer Research (286 citations), Immunology (240 citations), Molecular Biology (696 citations), Cell Biology (101 citations) and Immunology and Allergy (24 citations). Wei Gu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tomohiko Fukuda, Jianguo Gu, Tomoya Isaji, Surong Fang, Zhenhua Yang, Yuguang Du, Yan Tan, Jue Wang, Xiaomei Li and Qingsong Xu. Their work appears in journals such as Critical Care, Journal of Biological Chemistry, The FASEB Journal, Tuberculosis and Cancer Letters.
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.