Ta Xiao
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Inflammasome and immune disorders
- Ubiquitin and proteasome pathways
Papers in
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- Inflammasome and immune disorders 4
- Signaling Pathways in Disease 4
- Circular RNAs in diseases 3
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
- Co-authors
- Zhi‐Qiang Xiao (14 shared papers)Hong Yi (12 shared papers)Shanshan Lu (12 shared papers)Wenxiang Wang (2 shared papers)Yuhang Xiao (2 shared papers)Min Su (2 shared papers)Hongmei Yi (7 shared papers)Yan Tang (1 shared paper)
- Journals
- Cell Death and Disease (5 papers)Oncotarget (3 papers)Journal of Photochemistry and Photobiology B Biology (2 papers)Journal of Dermatological Science (2 papers)Oncogene (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ta Xiao
26 papers receiving 873 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 246
- Molecular Biology 528
- Cellular and Molecular Neuroscience 114
- Immunology 123
- Oncology 148
Countries citing papers authored by Ta Xiao
This map shows the geographic impact of Ta 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 Ta Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ta Xiao more than expected).
Fields of papers citing papers by Ta Xiao
This network shows the impact of papers produced by Ta 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 Ta Xiao. The network helps show where Ta Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ta 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 156 | |
| 2 | 2015 | 74 | |
| 3 | 2017 | 60 | |
| 4 | 2015 | 59 | |
| 5 | 2018 | 53 | |
| 6 | 2018 | 47 | |
| 7 | 2020 | 43 | |
| 8 | 2021 | 41 | |
| 9 | 2020 | 34 | |
| 10 | 2016 | 32 | |
| 11 | 2020 | 30 | |
| 12 | 2022 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2020 | 26 | |
| 15 | 2018 | 23 | |
| 16 | 2015 | 20 | |
| 17 | 2014 | 20 | |
| 18 | 2020 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2022 | 15 |
About Ta Xiao
Ta Xiao is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Cell Biology and Immunology, having authored 28 papers that have together received 874 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Cancer-related molecular mechanisms research (5 papers), Inflammasome and immune disorders (4 papers), Signaling Pathways in Disease (4 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (246 citations), Molecular Biology (528 citations), Cellular and Molecular Neuroscience (114 citations), Immunology (123 citations) and Oncology (148 citations). Ta Xiao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhi‐Qiang Xiao, Hong Yi, Shanshan Lu, Wenxiang Wang, Yuhang Xiao, Min Su, Hongmei Yi, Yan Tang, Jiao-Yang Li and Wei Huang. Their work appears in journals such as Cell Death and Disease, Oncotarget, Journal of Photochemistry and Photobiology B Biology, Journal of Dermatological Science and Oncogene.
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.