Jing‐Cai Liu

1.6k total citations
52 papers, 1.2k citations indexed

About

Jing‐Cai Liu is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jing‐Cai Liu has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Public Health, Environmental and Occupational Health, 19 papers in Molecular Biology and 13 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jing‐Cai Liu's work include Reproductive Biology and Fertility (22 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Pluripotent Stem Cells Research (9 papers). Jing‐Cai Liu is often cited by papers focused on Reproductive Biology and Fertility (22 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Pluripotent Stem Cells Research (9 papers). Jing‐Cai Liu collaborates with scholars based in China, Italy and United States. Jing‐Cai Liu's co-authors include Wei Shen, Ya Xu, Massimo De Felici, Paul W. Dyce, Junjie Wang, Yuqiang Liu, Shao‐Chen Sun, Wei Ge, Qifei Huang and Xifeng Zhang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Jing‐Cai Liu

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐Cai Liu China 23 381 359 353 134 131 52 1.2k
Shuo Xiao United States 25 426 1.1× 277 0.8× 716 2.0× 121 0.9× 101 0.8× 62 2.0k
Jialiu Wei China 18 245 0.6× 358 1.0× 56 0.2× 150 1.1× 51 0.4× 50 1.2k
Yunpeng Hou China 26 568 1.5× 116 0.3× 1.0k 2.9× 136 1.0× 375 2.9× 92 2.2k
Tommaso Serchi Luxembourg 24 295 0.8× 405 1.1× 104 0.3× 13 0.1× 61 0.5× 54 1.5k
Shengchen Wang China 28 502 1.3× 718 2.0× 53 0.2× 110 0.8× 153 1.2× 71 2.1k
James C. Lamb United States 29 417 1.1× 1.2k 3.4× 204 0.6× 37 0.3× 346 2.6× 103 2.6k
Mingqing Chen China 27 241 0.6× 793 2.2× 57 0.2× 289 2.2× 74 0.6× 61 2.0k
Xiuxiu Chen China 22 289 0.8× 206 0.6× 25 0.1× 58 0.4× 385 2.9× 61 1.4k
Liying Gao China 22 342 0.9× 674 1.9× 112 0.3× 8 0.1× 49 0.4× 68 1.4k

Countries citing papers authored by Jing‐Cai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Cai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Cai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Cai Liu. A scholar is included among the top collaborators of Jing‐Cai Liu 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 Jing‐Cai Liu. Jing‐Cai Liu 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.
Pan, Zhen‐Nan, et al.. (2025). Insufficient MIRO1 contributes to declined oocyte quality during reproductive aging. Science China Life Sciences. 68(3). 764–776. 4 indexed citations
2.
Feng, Yang, et al.. (2025). Generation and prediction of defect in HDPE GMB serving as landfill base barrier. Geotextiles and Geomembranes. 53(3). 744–753.
3.
4.
Ju, Jia‐Qian, et al.. (2023). Mcrs1 regulates G2/M transition and spindle assembly during mouse oocyte meiosis. EMBO Reports. 24(5). e56273–e56273. 6 indexed citations
5.
Zou, Yuanjing, Zhen‐Nan Pan, Jia‐Qian Ju, et al.. (2023). Arf1 GTPase Regulates Golgi‐Dependent G2/M Transition and Spindle Organization in Oocyte Meiosis. Advanced Science. 11(4). e2303009–e2303009. 12 indexed citations
6.
Li, Hongge, et al.. (2023). Aluminum exposure impairs oocyte quality via subcellular structure disruption and DNA damage-related apoptosis in mice. Journal of Environmental Sciences. 139. 308–319. 6 indexed citations
7.
Liu, Yuqiang, et al.. (2023). Theory, framework, and methodology for physical lifespan prediction of hazardous waste landfills. The Science of The Total Environment. 888. 163154–163154. 9 indexed citations
8.
Yao, Guangyuan, Yuqiang Liu, Jing‐Cai Liu, & Ya Xu. (2022). Facile Synthesis of Porous g-C3N4 with Enhanced Visible-Light Photoactivity. Molecules. 27(6). 1754–1754. 15 indexed citations
9.
Liu, Jing‐Cai, Chun‐Hua Xing, Yi Xu, et al.. (2021). DEHP exposure to lactating mice affects ovarian hormone production and antral follicle development of offspring. Journal of Hazardous Materials. 416. 125862–125862. 54 indexed citations
10.
Li, Weishi, Zechun Huang, Yuqiang Liu, et al.. (2021). Evaluation of low-medium temperature pretreatment on the removal efficiency of organic toxic pollutants from pesticide waste salts: Characteristics, regularity, and key factors. Journal of Cleaner Production. 316. 128118–128118. 13 indexed citations
11.
Xing, Chun‐Hua, Yue Wang, Jing‐Cai Liu, et al.. (2021). Melatonin reverses mitochondria dysfunction and oxidative stress-induced apoptosis of Sudan I-exposed mouse oocytes. Ecotoxicology and Environmental Safety. 225. 112783–112783. 35 indexed citations
12.
Pan, Zhen‐Nan, Jing‐Cai Liu, Jia‐Qian Ju, Yue Wang, & Shao‐Chen Sun. (2021). LRRK2 regulates actin assembly for spindle migration and mitochondrial function in mouse oocyte meiosis. Journal of Molecular Cell Biology. 14(1). 12 indexed citations
13.
Wang, Junjie, Wei Ge, Jing‐Cai Liu, et al.. (2020). Single-cell transcriptome landscape of ovarian cells during primordial follicle assembly in mice. PLoS Biology. 18(12). e3001025–e3001025. 97 indexed citations
14.
Liu, Jing‐Cai, et al.. (2020). Di (2-ethylhexyl) phthalate impairs primordial follicle assembly by increasing PDE3A expression in oocytes. Environmental Pollution. 270. 116088–116088. 23 indexed citations
15.
Xiang, Rui, Ya Xu, Yuqiang Liu, et al.. (2019). Isolation distance between municipal solid waste landfills and drinking water wells for bacteria attenuation and safe drinking. Scientific Reports. 9(1). 17881–17881. 36 indexed citations
16.
Sun, Xiaochen, Zeya Wang, Ya Xu, et al.. (2019). Complex resistivity characteristics of saltwater-intruded sand contaminated by heavy metal. Scientific Reports. 9(1). 10944–10944. 7 indexed citations
17.
Ge, Wei, Yong Zhao, Fang-Nong Lai, et al.. (2017). Cutaneous applied nano-ZnO reduce the ability of hair follicle stem cells to differentiate. Nanotoxicology. 11(4). 465–474. 37 indexed citations
18.
Liu, Jing‐Cai, Fang-Nong Lai, Ling Li, et al.. (2017). Di (2-ethylhexyl) phthalate exposure impairs meiotic progression and DNA damage repair in fetal mouse oocytes in vitro. Cell Death and Disease. 8(8). e2966–e2966. 73 indexed citations
19.
Li, Lan, Jing‐Cai Liu, Fang-Nong Lai, et al.. (2016). Di (2-ethylhexyl) Phthalate Exposure Impairs Growth of Antral Follicle in Mice. PLoS ONE. 11(2). e0148350–e0148350. 41 indexed citations
20.
Liu, Yuqiang, et al.. (2010). Parametric Inversion on Complex Resistivity Mathematic Model of Chrome-Contaminated Soil. The Research of Environmental Sciences. 23(4). 480–484. 1 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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