Xi Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
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- Breast Cancer Treatment Studies 6
- MicroRNA in disease regulation 3
- Oncology 7
- Cancer Treatment and Pharmacology 2
- Cancer Cells and Metastasis 2
- Co-authors
- Jinqi Xue (11 shared papers)Jiawen Bu (2 shared papers)Peng Qiu (1 shared paper)Zhenyong Zhang (1 shared paper)Yueting Hu (1 shared paper)Jingying Li (1 shared paper)Yang Liu (1 shared paper)Wenhai Zhang (6 shared papers)
- Journals
- Annals of the New York Academy of Sciences (2 papers)Clinical Breast Cancer (1 paper)Medicine (1 paper)BMC Surgery (1 paper)Cancer Chemotherapy and Pharmacology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xi Gu
21 papers receiving 435 citations
Xi Gu's Hit Papers
Peers
Comparison fields: 5 of 71
- Cancer Research 139
- Oncology 123
- Immunology 69
- Molecular Biology 170
- Pulmonary and Respiratory Medicine 49
Countries citing papers authored by Xi Gu
This map shows the geographic impact of Xi 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 Xi Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Gu more than expected).
Fields of papers citing papers by Xi Gu
This network shows the impact of papers produced by Xi 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 Xi Gu. The network helps show where Xi Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in immunotherapy for triple-negative breast cancer Hit paper breakdown → | 2023 | 202 |
| 2 | 2015 | 32 | |
| 3 | 2015 | 27 | |
| 4 | 2021 | 24 | |
| 5 | 2019 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2015 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2013 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2014 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2013 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2010 | 2 |
About Xi Gu
Xi Gu is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 21 papers that have together received 437 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Treatment and Pharmacology (2 papers), Circular RNAs in diseases (2 papers), Cancer Cells and Metastasis (2 papers), Nitric Oxide and Endothelin Effects (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Cancer Research (139 citations), Oncology (123 citations), Immunology (69 citations), Molecular Biology (170 citations) and Pulmonary and Respiratory Medicine (49 citations). Xi Gu has collaborated with scholars based in China and United States. Frequent co-authors include Jinqi Xue, Jiawen Bu, Peng Qiu, Zhenyong Zhang, Yueting Hu, Jingying Li, Yang Liu, Wenhai Zhang, Lisha Sun and Caigang Liu. Their work appears in journals such as Annals of the New York Academy of Sciences, Clinical Breast Cancer, Medicine, BMC Surgery and Cancer Chemotherapy and Pharmacology.
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.