Xun Xia

474 total citations
22 papers, 363 citations indexed

About

Xun Xia is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Xun Xia has authored 22 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Obstetrics and Gynecology. Recurrent topics in Xun Xia's work include Heavy Metal Exposure and Toxicity (6 papers), Pregnancy and preeclampsia studies (5 papers) and Pregnancy and Medication Impact (5 papers). Xun Xia is often cited by papers focused on Heavy Metal Exposure and Toxicity (6 papers), Pregnancy and preeclampsia studies (5 papers) and Pregnancy and Medication Impact (5 papers). Xun Xia collaborates with scholars based in China, Australia and United States. Xun Xia's co-authors include Chunmei Liang, Fangbiao Tao, Zhijuan Li, Shilu Tong, Kun Huang, Jiahu Hao, Shuangqin Yan, Qunan Wang, Haiyun Xiang and Yiran Tao and has published in prestigious journals such as Environmental Pollution, Chemosphere and Environment International.

In The Last Decade

Xun Xia

18 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xun Xia China 11 219 121 89 86 59 22 363
Haiyun Xiang China 11 206 0.9× 102 0.8× 80 0.9× 71 0.8× 69 1.2× 14 354
Ivan Pantic Mexico 20 526 2.4× 168 1.4× 116 1.3× 60 0.7× 169 2.9× 46 806
Shengju Yin China 10 164 0.7× 79 0.7× 33 0.4× 45 0.5× 44 0.7× 34 330
Maritsa Solano Mexico 12 239 1.1× 54 0.4× 48 0.5× 60 0.7× 78 1.3× 17 439
Sakila Afroz United States 7 419 1.9× 119 1.0× 74 0.8× 16 0.2× 46 0.8× 10 519
Mengyuan Ren China 12 140 0.6× 45 0.4× 46 0.5× 50 0.6× 54 0.9× 33 307
Song-Jia Yi China 8 202 0.9× 67 0.6× 29 0.3× 75 0.9× 127 2.2× 9 383
Alfredo Marco Spain 8 253 1.2× 41 0.3× 121 1.4× 124 1.4× 162 2.7× 9 506
Yongxiu Hao China 12 128 0.6× 53 0.4× 106 1.2× 151 1.8× 83 1.4× 24 443
Duan Gao China 6 127 0.6× 81 0.7× 41 0.5× 37 0.4× 43 0.7× 10 237

Countries citing papers authored by Xun Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xun Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Xia. A scholar is included among the top collaborators of Xun Xia 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 Xun Xia. Xun Xia 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.
Yu, Le, et al.. (2025). BUS-M2AE: Multi-scale Masked Autoencoder for Breast Ultrasound Image Analysis. Computers in Biology and Medicine. 191. 110159–110159.
2.
Zhang, Xin, Hao Geng, Yuqian Li, et al.. (2025). MCM9 deficiency impairs DNA damage repair during spermatogenesis, leading to Sertoli cell-only syndrome in humans. Cell Death Discovery. 11(1). 292–292.
3.
Xia, Xun, et al.. (2024). SSDSNet: a dual-stream state-space network for efficient image denoising with long-range dependency modeling. Engineering Research Express. 6(4). 45235–45235.
4.
Wang, Chang, Qingsong Xie, Xun Xia, et al.. (2024). ZMYND12 serves as an IDAd subunit that is essential for sperm motility in mice. Cellular and Molecular Life Sciences. 81(1). 317–317. 2 indexed citations
5.
Wang, Jianqing, Zhijuan Li, Hui Gao, et al.. (2024). Gender associations between phthalate exposure and biomarkers of oxidative stress: A prospective cohort study. Toxicology and Industrial Health. 40(6). 312–322. 3 indexed citations
6.
Wang, Jianqing, Chunmei Liang, Yabin Hu, et al.. (2022). The effect of phthalates exposure during pregnancy on asthma in infants aged 0 to 36 months: a birth cohort study. Environmental Geochemistry and Health. 45(5). 1951–1974. 5 indexed citations
7.
Wang, Jianqing, Yabin Hu, Chunmei Liang, et al.. (2020). Aluminum and magnesium status during pregnancy and placenta oxidative stress and inflammatory mRNA expression: China Ma’anshan birth cohort study. Environmental Geochemistry and Health. 42(11). 3887–3898. 12 indexed citations
8.
Liang, Chunmei, Yan Han, Liya Ma, et al.. (2020). Low levels of arsenic exposure during pregnancy and maternal and neonatal thyroid hormone parameters: The determinants for these associations. Environment International. 145. 106114–106114. 17 indexed citations
9.
Liang, Chunmei, Xiaoyan Wu, Kun Huang, et al.. (2019). Domain- and sex-specific effects of prenatal exposure to low levels of arsenic on children’s development at 6 months of age: Findings from the Ma’anshan birth cohort study in China. Environment International. 135. 105112–105112. 36 indexed citations
10.
11.
Zhu, Beibei, Chunmei Liang, Shuangqin Yan, et al.. (2018). Association between serum thallium in early pregnancy and risk of gestational diabetes mellitus: The Ma’anshan birth cohort study. Journal of Trace Elements in Medicine and Biology. 52. 151–156. 30 indexed citations
12.
Xia, Xun, Chunmei Liang, Jie Sheng, et al.. (2018). Association between serum arsenic levels and gestational diabetes mellitus: A population-based birth cohort study. Environmental Pollution. 235. 850–856. 41 indexed citations
13.
Zhu, Beibei, Chunmei Liang, Xun Xia, et al.. (2018). Iron-Related Factors in Early Pregnancy and Subsequent Risk of Gestational Diabetes Mellitus: the Ma’anshan Birth Cohort (MABC) Study. Biological Trace Element Research. 191(1). 45–53. 25 indexed citations
14.
Liang, Chunmei, Xiaoyan Wu, Kun Huang, et al.. (2018). Trace element profiles in pregnant women's sera and umbilical cord sera and influencing factors: Repeated measurements. Chemosphere. 218. 869–878. 58 indexed citations
15.
Liang, Chunmei, Jianqing Wang, Xun Xia, et al.. (2017). Serum cobalt status during pregnancy and the risks of pregnancy-induced hypertension syndrome: A prospective birth cohort study. Journal of Trace Elements in Medicine and Biology. 46. 39–45. 25 indexed citations
16.
Li, Zhijuan, Chunmei Liang, Kun Huang, et al.. (2017). Umbilical Serum Copper Status and Neonatal Birth Outcomes: a Prospective Cohort Study. Biological Trace Element Research. 183(2). 200–208. 24 indexed citations
17.
Liang, Chunmei, Zhijuan Li, Xun Xia, et al.. (2016). Determine Multiple Elements Simultaneously in the Sera of Umbilical Cord Blood Samples—a Very Simple Method. Biological Trace Element Research. 177(1). 1–8. 49 indexed citations
18.
Li, Zhengyi, Xun Xia, Xiaoming Rong, Yamei Tang, & XU Da-chuan. (2012). Structure of the brachial plexus root and adjacent regions displayed by ultrasound imaging.. PubMed. 7(26). 2044–50.
19.
Li, Shengli, Guoyang Luo, Errol R. Norwitz, et al.. (2011). Prenatal diagnosis of diastematomyelia: A case report and review of the literature. Journal of Clinical Ultrasound. 40(5). 301–305. 5 indexed citations
20.
Li, Yanqiu, et al.. (2010). [Retrospective analysis of 125 cases of pregnancies complicated by rheumatic heart disease].. PubMed. 30(2). 308–10. 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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