Xiao Tan
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 7
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 10
- RNA modifications and cancer 7
- PI3K/AKT/mTOR signaling in cancer 6
- Epigenetics and DNA Methylation 4
- Polyamine Metabolism and Applications 4
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- Ferroptosis and cancer prognosis 5
- Genetics top 10%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 6
- Co-authors
- Xin GeJinping ZhangJiaping WuHongjuan ShiXinyue WangPing WangHongling TianSen Liu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Cancer Research (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiao Tan
50 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 440
- Molecular Biology 975
- Pulmonary and Respiratory Medicine 315
- Genetics 97
- Immunology 191
Countries citing papers authored by Xiao Tan
This map shows the geographic impact of Xiao Tan'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 Xiao Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Tan more than expected).
Fields of papers citing papers by Xiao Tan
This network shows the impact of papers produced by Xiao Tan. 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 Xiao Tan. The network helps show where Xiao Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiao Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2022 | 1 | |
| 8 | Stem Cell Factor SOX2 Confers Ferroptosis Resistance in Lung Cancer via Upregulation of SLC7A11breakdown → | 2021 | 187 |
| 9 | 2021 | 27 | |
| 10 | 2021 | 40 | |
| 11 | 2021 | 18 | |
| 12 | 2019 | 45 | |
| 13 | 2018 | 41 | |
| 14 | 2018 | 14 | |
| 15 | 2017 | 4 | |
| 16 | 2017 | 30 | |
| 17 | 2017 | 7 | |
| 18 | 2015 | 18 | |
| 19 | 2013 | 18 | |
| 20 | 2013 | 26 |
About Xiao Tan
Xiao Tan is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Ferroptosis and cancer prognosis (5 papers), Epigenetics and DNA Methylation (4 papers) and Polyamine Metabolism and Applications (4 papers). The work is most often cited by research in Cancer Research (440 citations), Molecular Biology (975 citations) and Pulmonary and Respiratory Medicine (315 citations). Xiao Tan has collaborated with scholars based in China, United States and France. Frequent co-authors include Xin Ge, Jinping Zhang, Jiaping Wu, Hongjuan Shi, Xinyue Wang, Ping Wang, Hongling Tian, Sen Liu, Zhijian Yang and Hua Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.
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.