Wei Gu
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA regulation and disease
- Fungal and yeast genetics research
- Gut microbiota and health
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in ⓘ
-
- Cell Adhesion Molecules Research 4
- Immunology 11
- Co-authors
- Robert H. Singer (12 shared papers)Norman B. Hecht (6 shared papers)Yingfeng Deng (2 shared papers)Feng Pan (3 shared papers)Daniel Zenklusen (2 shared papers)Xiuhua Meng (4 shared papers)Daniel Reines (2 shared papers)Honglai Zhang (1 shared paper)
- Journals
- Journal of Cell Science (3 papers)Journal of Biological Chemistry (2 papers)Oncotarget (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Wei Gu
56 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.5k
- Cancer Research 198
- Cell Biology 133
- Immunology and Allergy 47
- Oncology 178
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 146 | |
| 2 | 2002 | 145 | |
| 3 | 2017 | 124 | |
| 4 | 2008 | 83 | |
| 5 | 1997 | 83 | |
| 6 | 2007 | 80 | |
| 7 | 2001 | 78 | |
| 8 | 1993 | 77 | |
| 9 | 2012 | 74 | |
| 10 | 1995 | 67 | |
| 11 | 2010 | 61 | |
| 12 | 2015 | 60 | |
| 13 | 2009 | 60 | |
| 14 | 1996 | 59 | |
| 15 | 2017 | 57 | |
| 16 | 2008 | 54 | |
| 17 | 2003 | 39 | |
| 18 | 2004 | 39 | |
| 19 | 2013 | 35 | |
| 20 | 1998 | 33 |
About Wei Gu
Wei Gu is a scholar working on Immunology and Allergy, Immunology, Molecular Biology, Cancer Research and Animal Science and Zoology, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (18 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (5 papers), Animal Virus Infections Studies (4 papers), Cell Adhesion Molecules Research (4 papers), Fungal and yeast genetics research (4 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cancer Research (198 citations), Cell Biology (133 citations), Immunology and Allergy (47 citations) and Oncology (178 citations). Wei Gu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Robert H. Singer, Norman B. Hecht, Yingfeng Deng, Feng Pan, Daniel Zenklusen, Xiuhua Meng, Daniel Reines, Honglai Zhang, Gary J. Bassell and Feng Pan. Their work appears in journals such as Journal of Cell Science, Journal of Biological Chemistry, Oncotarget, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.
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.