Xiaoxia Gu
Impact in
- Nephrology top 10%
-
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 3
- Co-authors
- Hua Li (8 shared papers)Mengzhu Zheng (8 shared papers)Lixia Chen (6 shared papers)Qingzhe Zhang (2 shared papers)Yirong Zhou (2 shared papers)Canrong Wu (2 shared papers)Kaiyin Yang (2 shared papers)Lixia Yu (5 shared papers)
- Journals
- BMC Anesthesiology (2 papers)Environmental Pollution (1 paper)Jornal de Pediatria (1 paper)Acta Pharmaceutica Sinica B (1 paper)Disease Markers (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoxia Gu
27 papers receiving 684 citations
Peers
Comparison fields: 5 of 91
- Nephrology 55
- Cancer Research 103
- Infectious Diseases 95
- Molecular Biology 324
- Oncology 114
Countries citing papers authored by Xiaoxia Gu
This map shows the geographic impact of Xiaoxia 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 Xiaoxia Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxia Gu more than expected).
Fields of papers citing papers by Xiaoxia Gu
This network shows the impact of papers produced by Xiaoxia 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 Xiaoxia Gu. The network helps show where Xiaoxia Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxia 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 152 | |
| 2 | 2020 | 143 | |
| 3 | 2020 | 44 | |
| 4 | 2019 | 42 | |
| 5 | 2016 | 34 | |
| 6 | 2019 | 32 | |
| 7 | 2013 | 31 | |
| 8 | 2014 | 30 | |
| 9 | 2017 | 25 | |
| 10 | 2015 | 21 | |
| 11 | 2020 | 19 | |
| 12 | 2012 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2012 | 7 |
About Xiaoxia Gu
Xiaoxia Gu is a scholar working on Molecular Biology, Cancer Research, Nephrology, Infectious Diseases and Pathology and Forensic Medicine, having authored 30 papers that have together received 692 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Cardiac Ischemia and Reperfusion (3 papers), MicroRNA in disease regulation (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Autophagy in Disease and Therapy (2 papers), Anesthesia and Sedative Agents (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Nephrology (55 citations), Cancer Research (103 citations), Infectious Diseases (95 citations), Molecular Biology (324 citations) and Oncology (114 citations). Xiaoxia Gu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hua Li, Mengzhu Zheng, Lixia Chen, Qingzhe Zhang, Yirong Zhou, Canrong Wu, Kaiyin Yang, Lixia Yu, Qifeng Liu and Yali Wang. Their work appears in journals such as BMC Anesthesiology, Environmental Pollution, Jornal de Pediatria, Acta Pharmaceutica Sinica B and Disease Markers.
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.