Xiaojuan Gao

2.0k total citations · 1 hit paper
71 papers, 1.5k citations indexed

About

Xiaojuan Gao is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Xiaojuan Gao has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Pharmacology and 10 papers in Plant Science. Recurrent topics in Xiaojuan Gao's work include Bioactive natural compounds (7 papers), Pharmacological Effects of Natural Compounds (6 papers) and Chromatography in Natural Products (4 papers). Xiaojuan Gao is often cited by papers focused on Bioactive natural compounds (7 papers), Pharmacological Effects of Natural Compounds (6 papers) and Chromatography in Natural Products (4 papers). Xiaojuan Gao collaborates with scholars based in China, United States and United Kingdom. Xiaojuan Gao's co-authors include Hanqing Wang, Jingjiao Yong, Yue Tong, Yuanjie Li, Jianjun Zhao, Yiqun Deng, Peiqiang Mu, Xia Zhang, Wen Song and Qingmei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaojuan Gao

66 papers receiving 1.5k citations

Hit Papers

Isoliquiritin ameliorates... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Isoliquiritin ameliorates depression by suppressing NLRP3-mediated pyroptosis via miRNA-27a/SYK/NF-κB axis
    2021 226 citations Yuanjie Li, Yue Tong et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojuan Gao China 21 530 300 193 175 159 71 1.5k
Nitesh Kumar India 28 764 1.4× 375 1.3× 166 0.9× 96 0.5× 105 0.7× 220 2.6k
Saverio Nucera Italy 26 676 1.3× 244 0.8× 213 1.1× 160 0.9× 43 0.3× 75 1.9k
Sarmistha Saha India 19 915 1.7× 236 0.8× 87 0.5× 122 0.7× 71 0.4× 68 2.0k
Jie Deng China 25 601 1.1× 333 1.1× 106 0.5× 364 2.1× 57 0.4× 83 1.9k
Kui‐Jin Kim South Korea 26 1.0k 1.9× 230 0.8× 272 1.4× 145 0.8× 55 0.3× 80 2.4k
Vincenzo Musolino Italy 32 944 1.8× 362 1.2× 334 1.7× 214 1.2× 57 0.4× 136 3.3k
Federica Scarano Italy 24 603 1.1× 185 0.6× 161 0.8× 125 0.7× 43 0.3× 64 1.7k
Yingjun Zhou China 27 529 1.0× 238 0.8× 109 0.6× 147 0.8× 39 0.2× 84 1.8k
Nadia Ferlazzo Italy 30 742 1.4× 398 1.3× 122 0.6× 223 1.3× 44 0.3× 60 2.1k

Countries citing papers authored by Xiaojuan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Gao. A scholar is included among the top collaborators of Xiaojuan Gao 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 Xiaojuan Gao. Xiaojuan Gao 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.
Gao, Xiaojuan, et al.. (2025). FGF1 as a New Promising Therapeutic Target in Type 2 Diabetes: Advances in Research and Clinical Trials. Diabetes Metabolic Syndrome and Obesity. Volume 18. 1137–1149. 1 indexed citations
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Sun, He, et al.. (2024). Counteracting mental fatigue for athletes: a systematic review of the interventions. BMC Psychology. 12(1). 67–67. 5 indexed citations
4.
Xu, Jiabao, Xiang Ji, Xiaojuan Gao, et al.. (2024). A metabolic map and artificial intelligence-aided identification of nasopharyngeal carcinoma via a single-cell Raman platform. British Journal of Cancer. 130(10). 1635–1646. 5 indexed citations
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An, Fangmei, Yan Ge, Wei Ye, et al.. (2024). Machine learning identifies a 5-serum cytokine panel for the early detection of chronic atrophy gastritis patients. Cancer Biomarkers. 41(1). 25–40. 1 indexed citations
8.
Zhang, Ruixia, Ruizhou Wang, Dan Chen, et al.. (2022). Extraction, Separation, Antitumor Effect, and Mechanism of Alkaloids in Sophora alopecuroides: A Review. Separations. 9(11). 380–380. 6 indexed citations
9.
Gao, Xiaojuan, et al.. (2021). Study on the extraction and antibacterial activity of Monascin. SHILAP Revista de lepidopterología. 251. 2061–2061. 3 indexed citations
10.
Li, Yimin, Yimin Li, Xiaohui Jia, et al.. (2020). Risk factors for cancer‐associated myositis: A large‐scale multicenter cohort study. International Journal of Rheumatic Diseases. 24(2). 268–273. 18 indexed citations
11.
Tong, Yue, Huiling Fu, Wen Song, et al.. (2020). Astragalin Exerted Antidepressant-like Action through SIRT1 Signaling Modulated NLRP3 Inflammasome Deactivation. ACS Chemical Neuroscience. 11(10). 1495–1503. 39 indexed citations
12.
Zhang, Min, Tingting Yang, Qiuli Liu, et al.. (2020). Origin of diastereoselectivity and catalytic efficiency on Isothiourea-mediated cyclization of carboxylic acid with alkenyl ketone. Computational and Theoretical Chemistry. 1190. 113004–113004. 1 indexed citations
13.
Liu, Cheng, Jing Wang, Sa Wang, et al.. (2019). Nitrous Acid and Diethyl Sulfate, as Chemical Mutagenic Agents, to Improve the Biomass, Metabolites, Enzyme Activity, and Antioxidant Activity of Wild <i>Phellinus igniarius</i>. Food Science and Technology Research. 25(3). 459–466. 4 indexed citations
14.
Wang, Ruizhou, Xinxin Deng, Xiuli Wu, et al.. (2019). Sophora alopecuroides L.: An ethnopharmacological, phytochemical, and pharmacological review. Journal of Ethnopharmacology. 248. 112172–112172. 102 indexed citations
15.
Wang, Hanqing, Weiwei Tao, Xia Zhang, et al.. (2019). Phytochemical Information and Biological Activities of Quinolizidine Alkaloids in Sophora: A Comprehensive Review. Current Drug Targets. 20(15). 1572–1586. 22 indexed citations
16.
Zhang, Xiaoyun, Shijie Zhang, Qin He, et al.. (2019). <p>Prognostic value of miR17-92 family in patients with digestive system cancers: a systematic review and meta-analysis</p>. Cancer Management and Research. Volume 11. 1043–1058. 1 indexed citations
17.
Yang, Ping, Li Chen, Xiaojuan Gao, et al.. (2018). [Research on network pharmacology of alkaloids in Sophora alopecuroides].. PubMed. 43(1). 160–167. 1 indexed citations
18.
Wang, Hanqing, Yue Tong, Wei Li, et al.. (2017). Enhanced ultrasound-assisted enzymatic hydrolysis extraction of quinolizidine alkaloids from Sophora alopecuroides L. seeds. Journal of Natural Medicines. 72(2). 424–432. 17 indexed citations
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Pan, Yanfeng, et al.. (2017). Long non-coding RNA UC001kfo promotes hepatocellular carcinoma proliferation and metastasis by targeting α-SMA. Biomedicine & Pharmacotherapy. 87. 669–677. 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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