Gu Xiao
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 20
- Cancer-related Molecular Pathways 18
- PARP inhibition in cancer therapy 3
- Cancer Cells and Metastasis 2
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- DNA Repair Mechanisms 7
- Ubiquitin and proteasome pathways 4
- Epigenetics and DNA Methylation 3
- Co-authors
- Jill Bargonetti (19 shared papers)Alla Polotskaia (5 shared papers)Weigang Qiu (4 shared papers)Ronald C. Hendrickson (3 shared papers)Magali Olivier (2 shared papers)Chong Gao (5 shared papers)David White (1 shared paper)Tarek Abbas (1 shared paper)
- Journals
- Cancer Research (3 papers)Oncotarget (3 papers)Molecular Pharmaceutics (2 papers)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Gu Xiao
34 papers receiving 454 citations
Peers
Comparison fields: 5 of 68
- Oncology 218
- Cancer Research 82
- Toxicology 17
- Molecular Biology 276
- Biotechnology 24
Countries citing papers authored by Gu Xiao
This map shows the geographic impact of Gu Xiao'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 Gu Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gu Xiao more than expected).
Fields of papers citing papers by Gu Xiao
This network shows the impact of papers produced by Gu Xiao. 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 Gu Xiao. The network helps show where Gu Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Gu Xiao, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 71 | |
| 2 | 2002 | 52 | |
| 3 | 2019 | 48 | |
| 4 | A DNA damage signal is required for p53 to activate gadd45. | 2000 | 41 |
| 5 | 2017 | 34 | |
| 6 | 2014 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 1998 | 24 | |
| 9 | 2017 | 24 | |
| 10 | 2021 | 20 | |
| 11 | The Karyotypes of Six Species of Bats from Guizhou | 2006 | 11 |
| 12 | 2015 | 11 | |
| 13 | 2020 | 9 | |
| 14 | [The pharmacokinetics of ceftazidime in the burned patients]. | 1994 | 6 |
| 15 | 2021 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2020 | 3 | |
| 19 | Application of serum DNA quantification in the diagnosis of epithelial ovarian cancer | 2009 | 3 |
| 20 | Karyotype Analysis of Five Rhinolophus species from Guizhou | 2003 | 3 |
About Gu Xiao
Gu Xiao is a scholar working on Oncology, Molecular Biology, Cancer Research, Cell Biology and Genetics, having authored 35 papers that have together received 461 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (18 papers), DNA Repair Mechanisms (7 papers), Ubiquitin and proteasome pathways (4 papers), PARP inhibition in cancer therapy (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Oncology (218 citations), Cancer Research (82 citations), Toxicology (17 citations), Molecular Biology (276 citations) and Biotechnology (24 citations). Gu Xiao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jill Bargonetti, Alla Polotskaia, Weigang Qiu, Ronald C. Hendrickson, Magali Olivier, Chong Gao, David White, Tarek Abbas, Gopinatha Suresh Kumar and Sandra Houser. Their work appears in journals such as Cancer Research, Oncotarget, Molecular Pharmaceutics, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.