Dianjun Sun

3.9k total citations
156 papers, 3.0k citations indexed

About

Dianjun Sun is a scholar working on Molecular Biology, Water Science and Technology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Dianjun Sun has authored 156 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 42 papers in Water Science and Technology and 27 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Dianjun Sun's work include Fluoride Effects and Removal (42 papers), Thyroid Disorders and Treatments (23 papers) and Arsenic contamination and mitigation (18 papers). Dianjun Sun is often cited by papers focused on Fluoride Effects and Removal (42 papers), Thyroid Disorders and Treatments (23 papers) and Arsenic contamination and mitigation (18 papers). Dianjun Sun collaborates with scholars based in China, United States and Taiwan. Dianjun Sun's co-authors include Yanhui Gao, Guangqian Yu, Yan Zheng, Bingyun Li, Hongmei Shen, Liyan Sun, Shoujun Liu, Yunpeng Ding, Yuanyuan Li and Hongzhi Pan 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

Dianjun Sun

152 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dianjun Sun China 32 865 767 465 460 397 156 3.0k
Mohammad Mehdi Ommati Iran 35 578 0.7× 255 0.3× 81 0.2× 503 1.1× 157 0.4× 135 3.1k
Ginji Endo Japan 34 819 0.9× 120 0.2× 518 1.1× 1.3k 2.8× 1.2k 3.1× 139 4.1k
Sahoko Ichihara Japan 43 2.0k 2.3× 80 0.1× 930 2.0× 490 1.1× 290 0.7× 155 6.0k
Qiang Niu China 21 321 0.4× 148 0.2× 112 0.2× 335 0.7× 220 0.6× 73 1.2k
Ping He China 31 1.3k 1.5× 425 0.6× 46 0.1× 481 1.0× 71 0.2× 119 3.0k
Tong‐Yuan Tai Taiwan 18 449 0.5× 83 0.1× 225 0.5× 565 1.2× 633 1.6× 24 1.9k
Jie Gao China 29 830 1.0× 158 0.2× 500 1.1× 208 0.5× 52 0.1× 102 3.0k
Wojciech Wąsowicz Poland 36 1.0k 1.2× 117 0.2× 132 0.3× 1.7k 3.7× 234 0.6× 204 5.2k
Mary V. Gamble United States 39 1.7k 1.9× 643 0.8× 62 0.1× 2.3k 5.0× 2.4k 6.0× 109 4.8k
Maria B. Kadiiska United States 43 1.3k 1.6× 111 0.1× 280 0.6× 1.5k 3.2× 223 0.6× 97 5.3k

Countries citing papers authored by Dianjun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Dianjun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianjun Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Dianjun Sun. A scholar is included among the top collaborators of Dianjun Sun 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 Dianjun Sun. Dianjun Sun 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.
Cao, Yanhong, Dan Wei, Minghui Li, et al.. (2025). Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example. Ecotoxicology and Environmental Safety. 291. 117805–117805. 1 indexed citations
2.
Li, Yilan, Chengyuan Yang, Minghui Li, et al.. (2025). AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o. Journal of Medical Internet Research. 27. e66161–e66161. 1 indexed citations
3.
Li, Ming, Shuang Li, Weijia Li, et al.. (2025). Biomarker potential of serum microRNAs in thyroid nodules patients residing in high water iodine areas. Ecotoxicology and Environmental Safety. 295. 118133–118133.
4.
Jin, Cheng, Jing Cui, Yuanyuan Li, et al.. (2024). The RAAS system SNPs polymorphism is associated with essential hypertension risk in rural areas in northern China. International Journal of Medical Sciences. 21(14). 2694–2704.
5.
Liu, Yang, et al.. (2024). PKC-θ is an important driver of fluoride-induced immune imbalance of regulatory T cells/effector T cells. The Science of The Total Environment. 934. 173081–173081. 4 indexed citations
6.
Du, Yang, Peng Liu, Wei Zhang, et al.. (2023). Serum thyroglobulin as a biomarker of iodine excess and thyroid disease occurrence in adults. Journal of Trace Elements in Medicine and Biology. 78. 127172–127172. 4 indexed citations
7.
Zhong, Yujie, Jiayu Liu, Dianjun Sun, et al.. (2022). Dioscin relieves diabetic nephropathy via suppressing oxidative stress and apoptosis, and improving mitochondrial quality and quantity control. Food & Function. 13(6). 3660–3673. 55 indexed citations
8.
Zhong, Yujie, et al.. (2022). Autophagy and mitochondrial dynamics contribute to the protective effect of diosgenin against 3-MCPD induced kidney injury. Chemico-Biological Interactions. 355. 109850–109850. 10 indexed citations
9.
Han, Jiahui, Yujie Zhong, Qi Liu, et al.. (2021). Involvement of NADPH oxidase in patulin-induced oxidative damage and cytotoxicity in HEK293 cells. Food and Chemical Toxicology. 150. 112055–112055. 17 indexed citations
10.
Zhong, Yujie, Jiahui Han, Qi Liu, et al.. (2021). Diosgenin Protects Against Kidney Injury and Mitochondrial Apoptosis Induced by 3‐MCPD Through the Regulation of ER Stress, Ca2+ Homeostasis, and Bcl2 Expression. Molecular Nutrition & Food Research. 65(15). e2001202–e2001202. 18 indexed citations
11.
Zhong, Yujie, Jiahui Han, Qi Liu, et al.. (2021). Inhibition of ER stress attenuates kidney injury and apoptosis induced by 3-MCPD via regulating mitochondrial fission/fusion and Ca2+ homeostasis. Cell Biology and Toxicology. 37(5). 795–809. 39 indexed citations
12.
Lin, Yuan, et al.. (2021). 24 h urinary creatinine excretion during pregnancy and its application in appropriate estimation of 24 h urinary iodine excretion. Journal of Trace Elements in Medicine and Biology. 66. 126751–126751. 9 indexed citations
13.
14.
Zhong, Yujie, Jiahui Han, Qi Liu, et al.. (2020). Drp1-mediated mitochondrial fission induced autophagy attenuates cell apoptosis caused by 3-chlorpropane-1,2-diol in HEK293 cells. Food and Chemical Toxicology. 145. 111740–111740. 9 indexed citations
15.
Chen, Ningning, et al.. (2019). Usefulness of Serum Calcium in the Risk Stratification of Midterm Mortality among Patients with Acute Coronary Syndrome. BioMed Research International. 2019. 1–9. 8 indexed citations
16.
Pei, Junrui, et al.. (2017). The effect of fluoride on osteoclast in bone tissue of rats and its mechanism. Chin J Endemiol. 36(10). 714–718. 2 indexed citations
17.
Zhao, Liyun, et al.. (2016). [Surveillance on drinking-water-born endemic fluorosis in China, 2013].. PubMed. 37(6). 816–20. 5 indexed citations
18.
19.
Wang, Lishi, et al.. (2015). Gene network of a phosphoglycerate mutase in muscle wasting in mice. Cell Biology International. 39(6). 666–677. 5 indexed citations
20.
Zhu, Xiaoming, Yanhui Gao, Yunpeng Ding, et al.. (2012). Effects of aluminum on serum, bone and urinary fluoride content of rats with fluorosis. Chin J Endemiol. 31(4). 373–376. 3 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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