Xiaochao Tan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 5%
Papers in
-
- RNA modifications and cancer 6
- Circular RNAs in diseases 3
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 4
- Co-authors
- Xiaozhong Peng (9 shared papers)Bin Yin (8 shared papers)Boqin Qiang (7 shared papers)Jiangang Yuan (6 shared papers)Liyuan Zhu (4 shared papers)Chad J. Creighton (12 shared papers)Jonathan M. Kurie (11 shared papers)Bin Yang (5 shared papers)
- Journals
- Journal of Clinical Investigation (9 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Communications (2 papers)The Science of The Total Environment (2 papers)BMB Reports (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Xiaochao Tan
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 352
- Aging 41
- Endocrine and Autonomic Systems 80
- Molecular Biology 621
- Cell Biology 113
Countries citing papers authored by Xiaochao Tan
This map shows the geographic impact of Xiaochao 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 Xiaochao Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochao Tan more than expected).
Fields of papers citing papers by Xiaochao Tan
This network shows the impact of papers produced by Xiaochao 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 Xiaochao Tan. The network helps show where Xiaochao Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochao 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 108 | |
| 2 | 2014 | 101 | |
| 3 | 2012 | 87 | |
| 4 | 2016 | 76 | |
| 5 | 2019 | 71 | |
| 6 | 2013 | 64 | |
| 7 | 2018 | 58 | |
| 8 | 2012 | 46 | |
| 9 | 2012 | 43 | |
| 10 | 2012 | 41 | |
| 11 | 2015 | 39 | |
| 12 | 2018 | 37 | |
| 13 | 2016 | 37 | |
| 14 | 2020 | 35 | |
| 15 | 2024 | 28 | |
| 16 | 2021 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2021 | 20 | |
| 19 | 2023 | 19 | |
| 20 | 2023 | 17 |
About Xiaochao Tan
Xiaochao Tan is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Biotechnology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), MicroRNA in disease regulation (6 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Circular RNAs in diseases (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (352 citations), Aging (41 citations), Endocrine and Autonomic Systems (80 citations), Molecular Biology (621 citations) and Cell Biology (113 citations). Xiaochao Tan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Xiaozhong Peng, Bin Yin, Boqin Qiang, Jiangang Yuan, Liyuan Zhu, Chad J. Creighton, Jonathan M. Kurie, Bin Yang, Young‐Ho Ahn and Jizong Zhao. Their work appears in journals such as Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, Nature Communications, The Science of The Total Environment and BMB Reports.
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.