Xiaole Tang
Impact in
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- Intensive Care Unit Cognitive Disorders
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research
Papers in
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- Anesthesia and Neurotoxicity Research 8
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- Intensive Care Unit Cognitive Disorders 7
- Co-authors
- Ailin Luo (10 shared papers)Yilin Zhao (10 shared papers)Shiyong Li (10 shared papers)Biyun Zhou (4 shared papers)Zhiqiang Zhou (5 shared papers)Jing Yan (4 shared papers)Jing Yan (1 shared paper)Xiaohui Chi (2 shared papers)
In The Last Decade
Xiaole Tang
20 papers receiving 465 citations
Peers
Comparison fields: 5 of 79
- Critical Care and Intensive Care Medicine 161
- Developmental Neuroscience 126
- Geriatrics and Gerontology 44
- Biological Psychiatry 21
- Neurology 69
Countries citing papers authored by Xiaole Tang
This map shows the geographic impact of Xiaole Tang'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 Xiaole Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaole Tang more than expected).
Fields of papers citing papers by Xiaole Tang
This network shows the impact of papers produced by Xiaole Tang. 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 Xiaole Tang. The network helps show where Xiaole Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaole Tang, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2020 | 60 | |
| 3 | 2021 | 60 | |
| 4 | The role of SIRT1 in neuroinflammation and cognitive dysfunction in aged rats after anesthesia and surgery. | 2019 | 58 |
| 5 | 2020 | 34 | |
| 6 | 2024 | 24 | |
| 7 | 2021 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2023 | 16 | |
| 10 | Mdivi-1 pretreatment mitigates isoflurane-induced cognitive deficits in developmental rats. | 2018 | 16 |
| 11 | 2022 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 1 |
About Xiaole Tang
Xiaole Tang is a scholar working on Developmental Neuroscience, Critical Care and Intensive Care Medicine, Molecular Biology, Automotive Engineering and Neurology, having authored 22 papers that have together received 468 indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (8 papers), Intensive Care Unit Cognitive Disorders (7 papers), Advanced Battery Technologies Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Refrigeration and Air Conditioning Technologies (2 papers), Anesthesia and Sedative Agents (2 papers), Electric and Hybrid Vehicle Technologies (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (161 citations), Developmental Neuroscience (126 citations), Geriatrics and Gerontology (44 citations), Biological Psychiatry (21 citations) and Neurology (69 citations). Xiaole Tang has collaborated with scholars based in China, Hong Kong and Israel. Frequent co-authors include Ailin Luo, Yilin Zhao, Shiyong Li, Biyun Zhou, Zhiqiang Zhou, Jing Yan, Jing Yan, Xiaohui Chi, Jie Gao and Rao Sun. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, IEEE Transactions on Pattern Analysis and Machine Intelligence, Case Studies in Thermal Engineering, BioMed Research International and Frontiers in Physiology.
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.