Xin Xin

1.4k total citations
83 papers, 1.0k citations indexed

About

Xin Xin is a scholar working on Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xin Xin has authored 83 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 17 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xin Xin's work include Liver Disease Diagnosis and Treatment (23 papers), Diet, Metabolism, and Disease (7 papers) and Lipid metabolism and disorders (7 papers). Xin Xin is often cited by papers focused on Liver Disease Diagnosis and Treatment (23 papers), Diet, Metabolism, and Disease (7 papers) and Lipid metabolism and disorders (7 papers). Xin Xin collaborates with scholars based in China, United States and Japan. Xin Xin's co-authors include Yiyang Hu, Qin Feng, Hongshan Li, Huajie Tian, Cheng Chen, Fei He, Qian Liu, Qinmei Sun, Wei Li and Li Xu and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Xin Xin

73 papers receiving 1.0k citations

Peers

Xin Xin
Wen Kong China
Xin Xin
Citations per year, relative to Xin Xin Xin Xin (= 1×) peers Wen Kong

Countries citing papers authored by Xin Xin

Since Specialization
Citations

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

Fields of papers citing papers by Xin Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Xin. A scholar is included among the top collaborators of Xin Xin 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 Xin Xin. Xin Xin 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.
Xin, Xin, et al.. (2025). Correlation of muscle strength, information processing speed and cognitive function in the elderly with cognitive impairment——evidence from EEG. Frontiers in Aging Neuroscience. 17. 1496725–1496725. 1 indexed citations
3.
Chen, Rui, Xin Xin, Shuang Ge, et al.. (2025). Smad4 deficiency in hepatocytes attenuates NAFLD progression via inhibition of lipogenesis and macrophage polarization. Cell Death and Disease. 16(1). 58–58. 4 indexed citations
5.
Xin, Xin, Qianqian Liu, Lili Chen, et al.. (2024). Differences in people living with HIV (PLWH) population aged over 50 years old receiving antiretroviral therapy (ART). AIDS Research and Therapy. 21(1). 99–99. 1 indexed citations
6.
Tao, Jing, et al.. (2024). Association between depression and infertility risk among American women aged 18–45 years: the mediating effect of the NHHR. Lipids in Health and Disease. 23(1). 178–178. 10 indexed citations
7.
10.
Li, Shufan, Peng Wang, Xin Xin, et al.. (2023). Correlation and pathways of behavioral activation systems mediating physical activity level and depressive symptoms among college students. World Journal of Psychiatry. 13(10). 784–792. 3 indexed citations
11.
Li, Hongshan, et al.. (2023). Geniposide plus chlorogenic acid reverses non-alcoholic steatohepatitis via regulation of gut microbiota and bile acid signaling in a mouse model in vivo. Frontiers in Pharmacology. 14. 1148737–1148737. 17 indexed citations
12.
Li, Shufan, Peng Wang, Zhidong Cai, et al.. (2023). Correlates of physical activity levels, muscle strength, working memory, and cognitive function in older adults. Frontiers in Aging Neuroscience. 15. 1283864–1283864. 9 indexed citations
13.
Xiao, Xinyi, Yazhuo Wang, Yufei Yang, et al.. (2022). Combination strategies to optimize the efficacy of chimeric antigen receptor T cell therapy in haematological malignancies. Frontiers in Immunology. 13. 954235–954235. 22 indexed citations
15.
Xin, Xin, et al.. (2022). Plant-derived bioactive compounds regulate the NLRP3 inflammasome to treat NAFLD. Frontiers in Pharmacology. 13. 896899–896899. 10 indexed citations
16.
Xin, Xin, Cheng Chen, Hongshan Li, et al.. (2021). Caffeine and EGCG Alleviate High-Trans Fatty Acid and High-Carbohydrate Diet-Induced NASH in Mice: Commonality and Specificity. Frontiers in Nutrition. 8. 784354–784354. 17 indexed citations
17.
Li, Hongshan, et al.. (2020). Gypenosides regulate farnesoid X receptor-mediated bile acid and lipid metabolism in a mouse model of non-alcoholic steatohepatitis. Nutrition & Metabolism. 17(1). 34–34. 36 indexed citations
19.
Xin, Xin, Zhen Liu, Hao Li, et al.. (2016). Propofol inhibits T-helper cell type-2 differentiation by inducing apoptosis via activating gamma-aminobutyric acid receptor. Journal of Surgical Research. 206(2). 442–450. 10 indexed citations
20.
Xin, Xin, et al.. (2013). Pentamethylquercetin ameliorates fibrosis in diabetic Goto-Kakizaki rat kidneys and mesangial cells with suppression of TGF-β/Smads signaling. European Journal of Pharmacology. 713(1-3). 6–15. 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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