Weiting Gu
Impact in
-
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
- Cell Biology 11
- Hippo pathway signaling and YAP/TAZ 11
-
- Cancer, Hypoxia, and Metabolism 4
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Yong Wen (11 shared papers)Yunpeng Zhang (7 shared papers)Weiguo Zhao (1 shared paper)Chenguang Wang (5 shared papers)Yawen Ji (4 shared papers)Xin Xu (5 shared papers)Xiyan Chen (4 shared papers)Nianli Sang (2 shared papers)
- Journals
- International Journal of Medical Sciences (3 papers)Cell Cycle (3 papers)Archives of Oral Biology (1 paper)Neuro-Oncology (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Weiting Gu
32 papers receiving 664 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 147
- Cell Biology 132
- Genetics 45
- Molecular Biology 282
- Oncology 97
Countries citing papers authored by Weiting Gu
This map shows the geographic impact of Weiting 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 Weiting Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiting Gu more than expected).
Fields of papers citing papers by Weiting Gu
This network shows the impact of papers produced by Weiting 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 Weiting Gu. The network helps show where Weiting Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiting 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 67 | |
| 2 | 2017 | 54 | |
| 3 | 2013 | 49 | |
| 4 | 2012 | 46 | |
| 5 | 2014 | 46 | |
| 6 | 2018 | 43 | |
| 7 | 2013 | 37 | |
| 8 | 2017 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2016 | 31 | |
| 11 | 2019 | 28 | |
| 12 | 2017 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2013 | 22 | |
| 15 | 2014 | 20 | |
| 16 | 2020 | 18 | |
| 17 | 2017 | 13 | |
| 18 | 2017 | 12 | |
| 19 | 2017 | 11 | |
| 20 | 2019 | 11 |
About Weiting Gu
Weiting Gu is a scholar working on Cell Biology, Cancer Research, Biochemistry, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 671 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (11 papers), Pituitary Gland Disorders and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Ubiquitin and proteasome pathways (4 papers), Lipid metabolism and biosynthesis (3 papers), Cancer-related gene regulation (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (147 citations), Cell Biology (132 citations), Genetics (45 citations), Molecular Biology (282 citations) and Oncology (97 citations). Weiting Gu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yong Wen, Yunpeng Zhang, Weiguo Zhao, Chenguang Wang, Yawen Ji, Xin Xu, Xiyan Chen, Nianli Sang, Yanhong Tai and Linglu Jia. Their work appears in journals such as International Journal of Medical Sciences, Cell Cycle, Archives of Oral Biology, Neuro-Oncology and PLoS ONE.
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.