Xing Ge

2.1k total citations
69 papers, 1.5k citations indexed

About

Xing Ge is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Physiology. According to data from OpenAlex, Xing Ge has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Pediatrics, Perinatology and Child Health and 11 papers in Physiology. Recurrent topics in Xing Ge's work include Birth, Development, and Health (8 papers), Tryptophan and brain disorders (8 papers) and Pregnancy and preeclampsia studies (8 papers). Xing Ge is often cited by papers focused on Birth, Development, and Health (8 papers), Tryptophan and brain disorders (8 papers) and Pregnancy and preeclampsia studies (8 papers). Xing Ge collaborates with scholars based in China, Australia and United States. Xing Ge's co-authors include Yinghua Yu, Kun Huang, Xu‐Feng Huang, Xiaoying Yang, Shuangqin Yan, Fangbiao Tao, Mingxuan Zheng, Kuiyang Zheng, Minmin Hu and Jiahu Hao and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Xing Ge

66 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Ge China 22 478 367 238 187 139 69 1.5k
Zengli Yu China 26 611 1.3× 613 1.7× 238 1.0× 152 0.8× 110 0.8× 126 2.0k
Michaela Dušková Czechia 25 346 0.7× 348 0.9× 204 0.9× 194 1.0× 259 1.9× 104 1.9k
Tianyu Dong China 25 564 1.2× 619 1.7× 128 0.5× 144 0.8× 128 0.9× 77 1.9k
Joško Osredkar Slovenia 22 411 0.9× 365 1.0× 77 0.3× 196 1.0× 97 0.7× 78 1.7k
Yajun Xu China 24 646 1.4× 169 0.5× 142 0.6× 194 1.0× 78 0.6× 94 1.5k
Ashok Kumar Tripathi India 27 261 0.5× 378 1.0× 111 0.5× 131 0.7× 88 0.6× 88 1.6k
Mei Zhao China 20 257 0.5× 230 0.6× 146 0.6× 235 1.3× 126 0.9× 46 1.3k
Aron M. Troen United States 25 505 1.1× 90 0.2× 424 1.8× 319 1.7× 293 2.1× 59 2.5k
Claudia Pivonello Italy 27 387 0.8× 395 1.1× 183 0.8× 124 0.7× 157 1.1× 81 2.4k
Ronald Biemann Germany 23 320 0.7× 233 0.6× 286 1.2× 56 0.3× 129 0.9× 68 1.5k

Countries citing papers authored by Xing Ge

Since Specialization
Citations

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

Fields of papers citing papers by Xing Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Ge. A scholar is included among the top collaborators of Xing Ge 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 Xing Ge. Xing Ge 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.
Wang, Silu, Zhanwei Zhuang, Xueting Wu, et al.. (2025). Identification of potential crucial genes and mechanisms associated with metabolically unhealthy obesity based on the gene expression profile. Frontiers in Genetics. 16. 1540721–1540721.
3.
Ge, Xing, et al.. (2024). Adaptation and innovation: How does climate vulnerability shapes corporate green innovation in BRICS. International Review of Financial Analysis. 94. 103272–103272. 23 indexed citations
4.
Ge, Xing, et al.. (2024). From aging to greener homes: Understanding the link between population aging and household carbon emissions in China. Environmental Impact Assessment Review. 106. 107459–107459. 9 indexed citations
5.
Liu, Sha, Mingxuan Zheng, Xing Ge, et al.. (2024). Gut microbiota dysbiosis contributes to α-synuclein-related pathology associated with C/EBPβ/AEP signaling activation in a mouse model of Parkinson's disease. Neural Regeneration Research. 19(9). 2081–2088. 18 indexed citations
6.
Chen, Xi, Zhizhen Wang, Peng Zheng, et al.. (2023). Impaired mitophagosome–lysosome fusion mediates olanzapine‐induced aging. Aging Cell. 22(11). e14003–e14003. 8 indexed citations
7.
Ge, Xing, Lu Cheng, Yanan Liu, Zufang Wu, & Xin Zhang. (2023). Regulation of the gut microbiota by diet and exercise: Improvements in cognition and emotion. Future Foods. 8. 100256–100256. 14 indexed citations
8.
Zheng, Mingxuan, Huaiyu Ye, Xiaoying Yang, et al.. (2023). Probiotic Clostridium butyricum ameliorates cognitive impairment in obesity via the microbiota-gut-brain axis. Brain Behavior and Immunity. 115. 565–587. 52 indexed citations
9.
Zheng, Mingxuan, Xiaoying Yang, Qingyuan Wu, et al.. (2022). Butyrate Attenuates Hepatic Steatosis Induced by a High‐Fat and Fiber‐Deficient Diet via the Hepatic GPR41/43‐CaMKII/HDAC1‐CREB Pathway. Molecular Nutrition & Food Research. 67(1). e2200597–e2200597. 24 indexed citations
10.
Hu, Minmin, Ruiqi Wang, Ning Qi Pang, et al.. (2022). Three Different Types of β-Glucans Enhance Cognition: The Role of the Gut-Brain Axis. Frontiers in Nutrition. 9. 848930–848930. 22 indexed citations
11.
Han, Jing, Xin Chen, Jiawei Xu, et al.. (2021). Simultaneous silencing Aurora-A and UHRF1 inhibits colorectal cancer cell growth through regulating expression of DNMT1 and STAT1. International Journal of Medical Sciences. 18(15). 3437–3451. 4 indexed citations
12.
Shi, Hongli, Xing Ge, Xi Ma, et al.. (2021). A fiber-deprived diet causes cognitive impairment and hippocampal microglia-mediated synaptic loss through the gut microbiota and metabolites. Microbiome. 9(1). 223–223. 177 indexed citations
13.
Pan, Wei, Pengfei Jiang, Jinxiu Zhao, et al.. (2021). β-Glucan from Lentinula edodes prevents cognitive impairments in high-fat diet-induced obese mice: involvement of colon-brain axis. Journal of Translational Medicine. 19(1). 54–54. 54 indexed citations
14.
Ge, Xing, Zheng Li, Rui Zhang, et al.. (2019). Investigation of candidate genes of non-syndromic cleft lip with or without cleft palate, using both case–control and family-based association studies. Medicine. 98(26). e16170–e16170. 4 indexed citations
15.
Chen, Gang, Qi Wang, Xing Ge, et al.. (2018). Identification of key genes in cleft lip with or without cleft palate regulated by miR-199a-5p. International Journal of Pediatric Otorhinolaryngology. 111. 128–137. 13 indexed citations
16.
Gao, Hui, Yunwei Zhang, Kun Huang, et al.. (2017). Urinary concentrations of phthalate metabolites in early pregnancy associated with clinical pregnancy loss in Chinese women. Scientific Reports. 7(1). 6800–6800. 41 indexed citations
17.
Ge, Xing, Kun Huang, Leijing Mao, et al.. (2016). [Intrahepatic cholestasis of pregnancy and fetal outcomes: a prospective birth cohort study].. PubMed. 37(2). 187–91. 10 indexed citations
18.
Gao, Hui, Yuanyuan Xu, Kun Huang, et al.. (2016). Cumulative risk assessment of phthalates associated with birth outcomes in pregnant Chinese women: A prospective cohort study. Environmental Pollution. 222. 549–556. 60 indexed citations
19.
Wang, Qi, Hui Wang, Qiang Ju, et al.. (2016). The co-regulators SRC-1 and SMRT are involved in interleukin-6-induced androgen receptor activation. European Cytokine Network. 27(4). 108–113. 6 indexed citations
20.
Ding, Xiuxiu, Leijing Mao, Xing Ge, et al.. (2015). [Course and risk factors of maternal pregnancy-related anxiety across pregnancy in Ma' anshan city].. PubMed. 44(3). 371–5. 9 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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