Xiaole Tang

606 total citations
20 papers, 440 citations indexed

About

Xiaole Tang is a scholar working on Critical Care and Intensive Care Medicine, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Xiaole Tang has authored 20 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Critical Care and Intensive Care Medicine, 8 papers in Developmental Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Xiaole Tang's work include Anesthesia and Neurotoxicity Research (8 papers), Intensive Care Unit Cognitive Disorders (8 papers) and Advanced Battery Technologies Research (3 papers). Xiaole Tang is often cited by papers focused on Anesthesia and Neurotoxicity Research (8 papers), Intensive Care Unit Cognitive Disorders (8 papers) and Advanced Battery Technologies Research (3 papers). Xiaole Tang collaborates with scholars based in China and Hong Kong. Xiaole Tang's co-authors include Shiyong Li, Ailin Luo, Yilin Zhao, Biyun Zhou, Zhiqiang Zhou, Jing Yan, Jing Yan, Xiaohui Chi, Jie Gao and Rao Sun and has published in prestigious journals such as Blood, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cellular and Molecular Life Sciences.

In The Last Decade

Xiaole Tang

20 papers receiving 436 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaole Tang China 10 188 170 89 87 64 20 440
Yayuan Lu China 9 181 1.0× 182 1.1× 127 1.4× 135 1.6× 52 0.8× 12 502
Tianzuo Li China 12 128 0.7× 152 0.9× 48 0.5× 76 0.9× 49 0.8× 27 374
Shoulin Chen China 10 60 0.3× 67 0.4× 83 0.9× 161 1.9× 95 1.5× 19 465
Shunmei Lu China 9 148 0.8× 151 0.9× 225 2.5× 87 1.0× 67 1.0× 14 486
Miren Revuelta Spain 14 50 0.3× 131 0.8× 111 1.2× 177 2.0× 98 1.5× 25 672
Dapeng Gao China 12 120 0.6× 78 0.5× 104 1.2× 81 0.9× 42 0.7× 33 421
Michele Cavallari United States 19 165 0.9× 128 0.8× 92 1.0× 51 0.6× 27 0.4× 37 743
Qingquan Lian China 10 60 0.3× 155 0.9× 53 0.6× 150 1.7× 70 1.1× 15 511

Countries citing papers authored by Xiaole Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Xiaole Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaole Tang. A scholar is included among the top collaborators of Xiaole Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaole Tang. Xiaole Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tang, Xiaole, et al.. (2025). Photovoltaic power prediction system based on dual-layer decomposition strategy and a novel dynamic grouping multi-objective coati optimization algorithm. International Journal of Electrical Power & Energy Systems. 166. 110562–110562. 1 indexed citations
2.
Tang, Xiaole, et al.. (2025). Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6764–6779. 4 indexed citations
3.
Wang, Xuan, Xiaole Tang, Pengfei Zhu, et al.. (2024). CircAKT3 alleviates postoperative cognitive dysfunction by stabilizing the feedback cycle of miR-106a-5p/HDAC4/MEF2C axis in hippocampi of aged mice. Cellular and Molecular Life Sciences. 81(1). 138–138. 7 indexed citations
4.
Cao, Fei, Guojun Chen, Xintong Wang, et al.. (2024). METTL14 contributes to acute lung injury by stabilizing NLRP3 expression in an IGF2BP2-dependent manner. Cell Death and Disease. 15(1). 43–43. 20 indexed citations
5.
Lü, Hao, et al.. (2024). The integrated multi-performance fast optimization strategy for battery thermal management system. Case Studies in Thermal Engineering. 54. 103920–103920. 5 indexed citations
6.
Tang, Xiaole, Qinghua Liu, Lin Luo, & Chunying Yin. (2023). The Endophyte Bacillus amyloliquefaciens from Picea asperata Seeds Promotes Seed Germination and Its Physiological Mechanism. Journal of soil science and plant nutrition. 24(1). 421–434. 5 indexed citations
7.
Lu, Weicheng, Fang Yan, Linjie Wang, et al.. (2023). Transcriptome Profiling of miRNA-mRNA Interactions and Associated Mechanisms in Chemotherapy-Induced Neuropathic Pain. Molecular Neurobiology. 60(10). 5672–5690. 7 indexed citations
8.
Tang, Xiaole, et al.. (2023). Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior. 9883–9892. 13 indexed citations
9.
Lü, Hao & Xiaole Tang. (2023). A flexible optimization study on air-cooled battery thermal management system by considering of system volume and cooling performance. Journal of Energy Storage. 72. 108527–108527. 8 indexed citations
10.
Yan, Jing, Xiaole Tang, Zhiqiang Zhou, et al.. (2022). Sirtuins functions in central nervous system cells under neurological disorders. Frontiers in Physiology. 13. 886087–886087. 9 indexed citations
13.
Wang, Xuan, Dongyu Hua, Xiaole Tang, et al.. (2021). The Role of Perioperative Sleep Disturbance in Postoperative Neurocognitive Disorders. Nature and Science of Sleep. Volume 13. 1395–1410. 55 indexed citations
14.
Luo, Ailin, Xiaole Tang, Yilin Zhao, et al.. (2020). General Anesthetic‐Induced Neurotoxicity in the Immature Brain: Reevaluating the Confounding Factors in the Preclinical Studies. BioMed Research International. 2020(1). 7380172–7380172. 3 indexed citations
15.
Tang, Xiaole, Yilin Zhao, Zhiqiang Zhou, et al.. (2020). Resveratrol Mitigates Sevoflurane-Induced Neurotoxicity by the SIRT1-Dependent Regulation of BDNF Expression in Developing Mice. Oxidative Medicine and Cellular Longevity. 2020. 1–18. 58 indexed citations
16.
Yan, Jing, Ailin Luo, Rao Sun, et al.. (2020). Resveratrol Mitigates Hippocampal Tau Acetylation and Cognitive Deficit by Activation SIRT1 in Aged Rats following Anesthesia and Surgery. Oxidative Medicine and Cellular Longevity. 2020. 1–14. 33 indexed citations
17.
Yan, Jing, Ailin Luo, Jie Gao, et al.. (2019). The role of SIRT1 in neuroinflammation and cognitive dysfunction in aged rats after anesthesia and surgery.. PubMed. 11(3). 1555–1568. 57 indexed citations
18.
Luo, Ailin, Jing Yan, Xiaole Tang, et al.. (2019). Postoperative cognitive dysfunction in the aged: the collision of neuroinflammaging with perioperative neuroinflammation. Inflammopharmacology. 27(1). 27–37. 105 indexed citations
19.
Tang, Xiaole, Xue Zhang, Shiyong Li, et al.. (2019). NR2B receptor- and calpain-mediated KCC2 cleavage resulted in cognitive deficiency exposure to isoflurane. NeuroToxicology. 76. 75–83. 16 indexed citations
20.
Gao, Jie, Ailin Luo, Jing Yan, et al.. (2018). Mdivi-1 pretreatment mitigates isoflurane-induced cognitive deficits in developmental rats.. PubMed. 10(2). 432–443. 16 indexed citations

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.

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