Lailai Yan

1.6k total citations
91 papers, 1.2k citations indexed

About

Lailai Yan is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Pollution. According to data from OpenAlex, Lailai Yan has authored 91 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Health, Toxicology and Mutagenesis, 25 papers in Nutrition and Dietetics and 13 papers in Pollution. Recurrent topics in Lailai Yan's work include Heavy Metal Exposure and Toxicity (38 papers), Trace Elements in Health (20 papers) and Air Quality and Health Impacts (12 papers). Lailai Yan is often cited by papers focused on Heavy Metal Exposure and Toxicity (38 papers), Trace Elements in Health (20 papers) and Air Quality and Health Impacts (12 papers). Lailai Yan collaborates with scholars based in China, Australia and United States. Lailai Yan's co-authors include Bin Wang, Jingyu Wang, Zhiwen Li, Yaqiong Liu, Bing Cao, Aiguo Ren, Qun Lu, Rongwei Ye, Qing‐Bin Lu and Jingxu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Lailai Yan

88 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
Lailai Yan China 21 631 324 174 137 119 91 1.2k
Christopher D. Palmer United States 24 1.0k 1.7× 221 0.7× 305 1.8× 117 0.9× 86 0.7× 54 1.7k
Johnnye Lewis United States 26 608 1.0× 153 0.5× 230 1.3× 145 1.1× 117 1.0× 69 1.7k
Yunfeng Zou China 24 626 1.0× 290 0.9× 247 1.4× 412 3.0× 57 0.5× 100 1.7k
Lulu Song China 26 418 0.7× 208 0.6× 128 0.7× 281 2.1× 304 2.6× 150 2.0k
Alison P. Sanders United States 26 1.2k 1.9× 394 1.2× 369 2.1× 270 2.0× 227 1.9× 70 1.9k
Zhongqiang Cao China 25 610 1.0× 136 0.4× 163 0.9× 72 0.5× 336 2.8× 70 1.6k
Thomas Lundh Sweden 21 669 1.1× 209 0.6× 196 1.1× 86 0.6× 80 0.7× 43 1.1k
Young‐Seoub Hong South Korea 25 1.4k 2.2× 348 1.1× 510 2.9× 395 2.9× 66 0.6× 137 2.9k
Lulin Wang China 20 354 0.6× 102 0.3× 121 0.7× 182 1.3× 164 1.4× 73 1.1k
Xiaobo Yang China 32 906 1.4× 633 2.0× 365 2.1× 524 3.8× 140 1.2× 147 3.1k

Countries citing papers authored by Lailai Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lailai Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lailai Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Lailai Yan. A scholar is included among the top collaborators of Lailai Yan 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 Lailai Yan. Lailai Yan 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.
Huang, Junhua, Wei Xing Zheng, Aili Wang, et al.. (2024). Molybdenum Concentration and the Risk of Spontaneous Preterm Birth: A Nested Case-Control Study — Beijing Municipality, China, 2018–2020. China CDC Weekly. 6(13). 261–266. 1 indexed citations
2.
Liu, Mei‐Ling, Jia Zhang, Lailai Yan, et al.. (2024). Blood chromium and lung function among Chinese young adults: A comprehensive analysis based on epidemiology and metabolomics. Ecotoxicology and Environmental Safety. 281. 116594–116594.
3.
Lin, Meng, Lailai Yan, Yutong Wang, et al.. (2024). Association between concentrations of rare earth elements in chorionic villus and risk for unexplained spontaneous abortion. Environmental Research. 257. 119165–119165. 3 indexed citations
4.
Ren, Mengyuan, Tianxiang Wu, Shuo Yang, et al.. (2024). Ascertaining sensitive exposure biomarkers of various metal(loid)s to embryo implantation. Environmental Pollution. 347. 123679–123679. 1 indexed citations
5.
Ren, Mengyuan, Lailai Yan, Bo Pan, et al.. (2024). Using Machine Learning to Construct the Blood–Follicle Distribution Models of Various Trace Elements and Explore the Transport-Related Pathways with Multiomics Data. Environmental Science & Technology. 58(18). 7743–7757. 4 indexed citations
6.
7.
Cao, Bing, Ruiqi Wang, Angela T.H. Kwan, Roger S. McIntyre, & Lailai Yan. (2023). Association between rare earth elements and depression: Evidence from pilot mice model of chronic unpredictable mild stress-induced depression and human studies of major depressive disorder. Chemosphere. 345. 140525–140525. 3 indexed citations
9.
Miao, Jiaming, Liu Yang, Lailai Yan, et al.. (2023). Association between mercury exposure and lung function in young adults: A prospective cohort study in Shandong, China. The Science of The Total Environment. 878. 162759–162759. 18 indexed citations
10.
Li, Ping, Yu‐Hui Chen, Jie‐Yun Song, et al.. (2022). Maternal DHA-rich n-3 PUFAs supplementation interacts with FADS genotypes to influence the profiles of PUFAs in the colostrum among Chinese Han population: a birth cohort study. Nutrition & Metabolism. 19(1). 48–48. 4 indexed citations
11.
Jia, Xiaoqian, Le Zhang, Jing Zhao, et al.. (2021). Associations between endocrine-disrupting heavy metals in maternal hair and gestational diabetes mellitus: A nested case-control study in China. Environment International. 157. 106770–106770. 42 indexed citations
12.
An, Hang, Bin Wang, Zhiyi Li, et al.. (2021). Distribution of mercury in serum and blood cells and risk of spontaneous preterm birth: A nested case–control study in China. Ecotoxicology and Environmental Safety. 217. 112228–112228. 7 indexed citations
13.
Xu, Luzheng, Shihong Zhang, Lailai Yan, et al.. (2020). Trace elements differences in the depression sensitive and resilient rat models. Biochemical and Biophysical Research Communications. 529(2). 204–209. 15 indexed citations
14.
Gao, Yanjun, Yixuan Ye, Jing Wang, et al.. (2020). Effects of titanium dioxide nanoparticles on nutrient absorption and metabolism in rats: distinguishing the susceptibility of amino acids, metal elements, and glucose. Nanotoxicology. 14(10). 1301–1323. 20 indexed citations
15.
Ren, Mengyuan, Xiaoqian Jia, Lailai Yan, et al.. (2020). Simultaneous analysis of typical halogenated endocrine disrupting chemicals and metal(loid)s in human hair. The Science of The Total Environment. 718. 137300–137300. 19 indexed citations
17.
Pang, Yiming, Yunhe Guo, Kexin Li, et al.. (2019). Potential effect of germanium exposure on the risk of influenza-like illness in housewives in Shanxi Province, China. The Science of The Total Environment. 682. 208–212. 3 indexed citations
18.
Yan, Lailai, Juntuo Zhou, Dongfang Wang, et al.. (2018). Unbiased lipidomic profiling reveals metabolomic changes during the onset and antipsychotics treatment of schizophrenia disease. Metabolomics. 14(6). 80–80. 26 indexed citations
19.
Yan, Lailai, Bin Wang, Zhenjiang Li, et al.. (2016). Association of essential trace metals in maternal hair with the risk of neural tube defects in offspring. Birth Defects Research. 109(3). 234–243. 32 indexed citations
20.
Liu, Tiebing, et al.. (2015). Comparative Study on Serum Levels of 10 Trace Elements in Schizophrenia. PLoS ONE. 10(7). e0133622–e0133622. 43 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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