Xiaoke Guo
Impact in
- Toxicology top 5%
- Molecular Biology top 10%
- Genomics, phytochemicals, and oxidative stress
- Protein Degradation and Inhibitors
- Cancer-related gene regulation
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Glutathione Transferases and Polymorphisms
Papers in
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- Cancer-related gene regulation 11
- Protein Degradation and Inhibitors 10
- RNA modifications and cancer 10
- Heat shock proteins research 9
- Epigenetics and DNA Methylation 9
- Genomics, phytochemicals, and oxidative stress 7
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- Click Chemistry and Applications 7
- Co-authors
- Qi-Dong You (62 shared papers)Xiaojin Zhang (23 shared papers)Zhengyu Jiang (27 shared papers)Xiaoli Xu (22 shared papers)Lili Xu (7 shared papers)Mengchen Lu (7 shared papers)Weilin Chen (15 shared papers)Meiyang Xi (4 shared papers)
In The Last Decade
Xiaoke Guo
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Toxicology 60
- Molecular Biology 968
- Organic Chemistry 299
- Cancer Research 82
- Computational Theory and Mathematics 99
Countries citing papers authored by Xiaoke Guo
This map shows the geographic impact of Xiaoke Guo'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 Xiaoke Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoke Guo more than expected).
Fields of papers citing papers by Xiaoke Guo
This network shows the impact of papers produced by Xiaoke Guo. 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 Xiaoke Guo. The network helps show where Xiaoke Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoke Guo, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 224 | |
| 2 | 2015 | 85 | |
| 3 | 2013 | 49 | |
| 4 | 2021 | 45 | |
| 5 | 2023 | 44 | |
| 6 | 2016 | 44 | |
| 7 | 2016 | 42 | |
| 8 | 2013 | 40 | |
| 9 | 2015 | 36 | |
| 10 | 2014 | 35 | |
| 11 | 2016 | 33 | |
| 12 | 2016 | 28 | |
| 13 | 2020 | 27 | |
| 14 | 2013 | 26 | |
| 15 | 2021 | 25 | |
| 16 | 2013 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 2013 | 23 | |
| 19 | 2013 | 22 | |
| 20 | 2015 | 22 |
About Xiaoke Guo
Xiaoke Guo is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Cancer Research and Oncology, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related gene regulation (11 papers), Computational Drug Discovery Methods (10 papers), Protein Degradation and Inhibitors (10 papers), RNA modifications and cancer (10 papers), Heat shock proteins research (9 papers), Epigenetics and DNA Methylation (9 papers), Click Chemistry and Applications (7 papers) and Genomics, phytochemicals, and oxidative stress (7 papers). The work is most often cited by research in Toxicology (60 citations), Molecular Biology (968 citations), Organic Chemistry (299 citations), Cancer Research (82 citations) and Computational Theory and Mathematics (99 citations). Xiaoke Guo has collaborated with scholars based in China, Poland and Norway. Frequent co-authors include Qi-Dong You, Xiaojin Zhang, Zhengyu Jiang, Xiaoli Xu, Lili Xu, Mengchen Lu, Weilin Chen, Meiyang Xi, Dong‐Dong Li and Tingting Yang. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, RSC Advances and Bioorganic & Medicinal Chemistry Letters.
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.