Xiaoqing Cai

4.1k total citations · 1 hit paper
73 papers, 2.1k citations indexed

About

Xiaoqing Cai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xiaoqing Cai has authored 73 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiaoqing Cai's work include Receptor Mechanisms and Signaling (22 papers), Neuropeptides and Animal Physiology (17 papers) and Diabetes Treatment and Management (10 papers). Xiaoqing Cai is often cited by papers focused on Receptor Mechanisms and Signaling (22 papers), Neuropeptides and Animal Physiology (17 papers) and Diabetes Treatment and Management (10 papers). Xiaoqing Cai collaborates with scholars based in China, United States and Japan. Xiaoqing Cai's co-authors include Dehua Yang, Ming‐Wei Wang, Antao Dai, Raymond C. Stevens, Qingtong Zhou, Hongliang Du, Yuwei Duan, Zhi‐Jie Liu, Guangxi Zhai and Suwen Zhao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Xiaoqing Cai

66 papers receiving 2.1k citations

Hit Papers

Common activation mechanism of class A GPCRs 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoqing Cai China 23 1.1k 491 296 267 171 73 2.1k
Toshiyasu Sakane Japan 38 1.2k 1.1× 376 0.8× 212 0.7× 323 1.2× 374 2.2× 143 4.5k
Masashi Ueda Japan 32 971 0.9× 416 0.8× 274 0.9× 198 0.7× 87 0.5× 127 3.2k
Tiziano Bandiera Italy 30 1.1k 1.0× 278 0.6× 210 0.7× 308 1.2× 160 0.9× 89 2.5k
Renato X. Santos Portugal 28 1.4k 1.3× 368 0.7× 174 0.6× 285 1.1× 281 1.6× 44 3.5k
Seok Choi South Korea 29 1.3k 1.1× 523 1.1× 172 0.6× 135 0.5× 153 0.9× 116 3.3k
Yushi Bai United States 25 1.8k 1.6× 416 0.8× 300 1.0× 167 0.6× 560 3.3× 55 3.4k
Ailing Fu China 29 1.3k 1.1× 180 0.4× 449 1.5× 372 1.4× 269 1.6× 66 2.6k
Wenjin Li China 32 1.4k 1.3× 185 0.4× 389 1.3× 229 0.9× 65 0.4× 176 3.2k
Jiayun Chen China 25 1.8k 1.7× 938 1.9× 99 0.3× 150 0.6× 133 0.8× 72 3.2k
Jean‐Michel Scherrmann France 42 1.6k 1.5× 573 1.2× 94 0.3× 277 1.0× 549 3.2× 114 5.0k

Countries citing papers authored by Xiaoqing Cai

Since Specialization
Citations

This map shows the geographic impact of Xiaoqing Cai'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 Xiaoqing Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqing Cai more than expected).

Fields of papers citing papers by Xiaoqing Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoqing Cai. 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 Xiaoqing Cai. The network helps show where Xiaoqing Cai may publish in the future.

Co-authorship network of co-authors of Xiaoqing Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqing Cai. A scholar is included among the top collaborators of Xiaoqing Cai 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 Xiaoqing Cai. Xiaoqing Cai 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
2.
Cai, Xiaoqing, et al.. (2025). Three-Level Gate Drive for Crosstalk Suppression of GaN Devices With Low Reverse Conduction Loss. IEEE Transactions on Power Electronics. 40(10). 14415–14424.
3.
Qi, Haolong, et al.. (2025). Preparation of pH-enzyme dual-responsive gel microspheres and their treatment of ulcerative colitis. International Journal of Biological Macromolecules. 306(Pt 2). 141567–141567. 1 indexed citations
4.
Liu, Yubo, Jichao Zhang, Yong Guan, et al.. (2024). Clickable X-ray Nanoprobes for Nanoscopic Bioimaging of Cellular Structures. SHILAP Revista de lepidopterología. 4(3). 893–902. 3 indexed citations
6.
Chen, Yan, Qingtong Zhou, Jiang Wang, et al.. (2023). Ligand recognition mechanism of the human relaxin family peptide receptor 4 (RXFP4). Nature Communications. 14(1). 492–492. 7 indexed citations
7.
Duan, Jia, Heng Liu, Fenghui Zhao, et al.. (2023). GPCR activation and GRK2 assembly by a biased intracellular agonist. Nature. 620(7974). 676–681. 58 indexed citations
8.
Cai, Xiaoqing, et al.. (2023). A case of IgG4-related interstitial nephritis with ureteral obstruction: case report and literature review. BMC Urology. 23(1). 67–67. 1 indexed citations
9.
Ye, Chenyu, Qingtong Zhou, Lin Shi, et al.. (2023). High expression of GPR160 in prostate cancer is unrelated to CARTp-mediated signaling pathways. Acta Pharmaceutica Sinica B. 14(3). 1467–1471. 1 indexed citations
11.
Lin, Guangyao, Yang Feng, Xiaoqing Cai, et al.. (2021). High-Throughput Screening Campaign Identified a Potential Small Molecule RXFP3/4 Agonist. Molecules. 26(24). 7511–7511. 5 indexed citations
12.
Zhang, Bingjie, Simeng Zhao, Dehua Yang, et al.. (2020). A Novel G Protein-Biased and Subtype-Selective Agonist for a G Protein-Coupled Receptor Discovered from Screening Herbal Extracts. ACS Central Science. 6(2). 213–225. 36 indexed citations
13.
Zhou, Yan, Daohai Du, Jia Wang, et al.. (2020). Identification of catalytic and non‐catalytic activity inhibitors against PRC2‐EZH2 complex through multiple high‐throughput screening campaigns. Chemical Biology & Drug Design. 96(4). 1024–1051. 7 indexed citations
14.
Lin, Guangyao, Lin Lin, Xiaoqing Cai, et al.. (2020). High-throughput screening campaign identifies a small molecule agonist of the relaxin family peptide receptor 4. Acta Pharmacologica Sinica. 41(10). 1328–1336. 5 indexed citations
15.
Wang, Fei, Xiaoqing Cai, Yàn Liú, et al.. (2020). Relationship between long non-coding RNA and prognosis of patients with coronary heart disease after percutaneous coronary intervention. Medicine. 99(51). e23525–e23525. 1 indexed citations
16.
Wang, Na, Wenxiu Zheng, Xiaoqing Cai, et al.. (2020). Ameliorative effects of ginsenosides on myelosuppression induced by chemotherapy or radiotherapy. Journal of Ethnopharmacology. 268. 113581–113581. 32 indexed citations
17.
Sun, Qiang, et al.. (2019). Effects of death education combined with humanistic nursing on mental state of family members of terminal cancer patients. Zhonghua xiandai huli zazhi. 25(4). 504–508. 1 indexed citations
18.
Zhou, Qingtong, Dehua Yang, Meng Wu, et al.. (2019). Common activation mechanism of class A GPCRs. eLife. 8. 396 indexed citations breakdown →
19.
Li, Ting, Guangyao Lin, Zhong Li, et al.. (2017). W2476 ameliorates β-cell dysfunction and exerts therapeutic effects in mouse models of diabetes via modulation of the thioredoxin-interacting protein signaling pathway. Acta Pharmacologica Sinica. 38(7). 1024–1037. 12 indexed citations
20.
Zhou, Zhitao, Zhifeng Shi, Xiaoqing Cai, et al.. (2017). The Use of Functionalized Silk Fibroin Films as a Platform for Optical Diffraction‐Based Sensing Applications. Advanced Materials. 29(15). 125 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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