Daoyin Dong

1.0k total citations
25 papers, 788 citations indexed

About

Daoyin Dong is a scholar working on Molecular Biology, Obstetrics and Gynecology and Nutrition and Dietetics. According to data from OpenAlex, Daoyin Dong has authored 25 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Obstetrics and Gynecology and 6 papers in Nutrition and Dietetics. Recurrent topics in Daoyin Dong's work include Trace Elements in Health (6 papers), MicroRNA in disease regulation (5 papers) and Gestational Diabetes Research and Management (5 papers). Daoyin Dong is often cited by papers focused on Trace Elements in Health (6 papers), MicroRNA in disease regulation (5 papers) and Gestational Diabetes Research and Management (5 papers). Daoyin Dong collaborates with scholars based in United States and China. Daoyin Dong's co-authors include Peixin Yang, E. Albert Reece, Yanqing Wu, Jianxiang Zhong, H. Ronald Zielke, Jingwen Yu, Xi Chen, Penghua Yang, Y. James Kang and Christopher Harman and has published in prestigious journals such as Nature Communications, PLoS ONE and Diabetes.

In The Last Decade

Daoyin Dong

25 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daoyin Dong United States 18 373 132 100 99 97 25 788
Eva Parisi Spain 18 418 1.1× 45 0.3× 92 0.9× 68 0.7× 55 0.6× 34 1.1k
Liyan Zhu China 15 413 1.1× 83 0.6× 54 0.5× 169 1.7× 56 0.6× 38 894
Lijun Chi Canada 19 554 1.5× 34 0.3× 92 0.9× 97 1.0× 41 0.4× 38 1.0k
Lei Cai China 17 354 0.9× 127 1.0× 90 0.9× 73 0.7× 27 0.3× 70 858
Christopher J. Pelham United States 18 330 0.9× 59 0.4× 77 0.8× 88 0.9× 46 0.5× 20 754
Junyan Sun China 16 318 0.9× 54 0.4× 134 1.3× 127 1.3× 102 1.1× 26 844
Lauren A. Vanderlinden United States 18 368 1.0× 48 0.4× 124 1.2× 68 0.7× 75 0.8× 53 936
Mary F. Walsh United States 25 595 1.6× 77 0.6× 204 2.0× 96 1.0× 139 1.4× 53 1.7k

Countries citing papers authored by Daoyin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Daoyin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoyin Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Daoyin Dong. A scholar is included among the top collaborators of Daoyin Dong 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 Daoyin Dong. Daoyin Dong 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.
Qu, Shuoyao, Daoyin Dong, Lin Yang, et al.. (2025). Early screening of lung function by electrical impedance tomography in people with normal spirometry reveals unrecognized pathological features. Nature Communications. 16(1). 622–622. 10 indexed citations
2.
Dong, Daoyin, et al.. (2023). High glucose‐increased miR‐200c contributes to cellular senescence and DNA damage in neural stem cells. Birth Defects Research. 115(18). 1770–1779. 2 indexed citations
3.
Liu, Bin, Yi Peng, Dan Yi, et al.. (2022). Endothelial PHD2 deficiency induces nitrative stress via suppression of caveolin-1 in pulmonary hypertension. European Respiratory Journal. 60(6). 2102643–2102643. 15 indexed citations
4.
Zhang, Xian‐Ming, Hua Jin, Xiaojia Huang, et al.. (2022). Robust genome editing in adult vascular endothelium by nanoparticle delivery of CRISPR-Cas9 plasmid DNA. Cell Reports. 38(1). 110196–110196. 53 indexed citations
5.
Chen, Xi, et al.. (2018). High Glucose Inhibits Neural Stem Cell Differentiation Through Oxidative Stress and Endoplasmic Reticulum Stress. Stem Cells and Development. 27(11). 745–755. 49 indexed citations
6.
Dong, Daoyin, et al.. (2017). Oxidative stress-induced miR-27a targets the redox gene nuclear factor erythroid 2-related factor 2 in diabetic embryopathy. American Journal of Obstetrics and Gynecology. 218(1). 136.e1–136.e10. 42 indexed citations
7.
Wang, Fang, Cheng Xu, E. Albert Reece, et al.. (2017). Protein kinase C-alpha suppresses autophagy and induces neural tube defects via miR-129-2 in diabetic pregnancy. Nature Communications. 8(1). 15182–15182. 74 indexed citations
8.
Dong, Daoyin, E. Albert Reece, & Peixin Yang. (2016). The Nrf2 Activator Vinylsulfone Reduces High Glucose-Induced Neural Tube Defects by Suppressing Cellular Stress and Apoptosis. Reproductive Sciences. 23(8). 993–1000. 20 indexed citations
9.
Dong, Daoyin, Yuji Zhang, E. Albert Reece, et al.. (2016). microRNA expression profiling and functional annotation analysis of their targets modulated by oxidative stress during embryonic heart development in diabetic mice. Reproductive Toxicology. 65. 365–374. 28 indexed citations
10.
Yang, Penghua, et al.. (2016). Maternal diabetes and high glucose in vitro trigger Sca1 + cardiac progenitor cell apoptosis through FoxO3a. Biochemical and Biophysical Research Communications. 482(4). 575–581. 4 indexed citations
11.
Dong, Daoyin, Wei Zhong, Qian Sun, et al.. (2016). Oxidative products from alcohol metabolism differentially modulate pro-inflammatory cytokine expression in Kupffer cells and hepatocytes. Cytokine. 85. 109–119. 18 indexed citations
12.
Wu, Yanqing, E. Albert Reece, Jianxiang Zhong, et al.. (2016). Type 2 diabetes mellitus induces congenital heart defects in murine embryos by increasing oxidative stress, endoplasmic reticulum stress, and apoptosis. American Journal of Obstetrics and Gynecology. 215(3). 366.e1–366.e10. 73 indexed citations
13.
Dong, Daoyin, et al.. (2015). Maternal diabetes triggers DNA damage and DNA damage response in neurulation stage embryos through oxidative stress. Biochemical and Biophysical Research Communications. 467(2). 407–412. 24 indexed citations
14.
Dong, Daoyin, et al.. (2015). New development of the yolk sac theory in diabetic embryopathy: molecular mechanism and link to structural birth defects. American Journal of Obstetrics and Gynecology. 214(2). 192–202. 38 indexed citations
15.
16.
Sun, Qian, Wei Zhong, Wenliang Zhang, et al.. (2015). Zinc deficiency mediates alcohol-induced apoptotic cell death in the liver of rats through activating ER and mitochondrial cell death pathways. American Journal of Physiology-Gastrointestinal and Liver Physiology. 308(9). G757–G766. 55 indexed citations
17.
Gu, Hui, Jingwen Yu, Daoyin Dong, et al.. (2015). High Glucose–Repressed CITED2 Expression Through miR-200b Triggers the Unfolded Protein Response and Endoplasmic Reticulum Stress. Diabetes. 65(1). 149–163. 35 indexed citations
18.
Dong, Daoyin, et al.. (2013). Disturbance of Copper Homeostasis Is a Mechanism for Homocysteine-Induced Vascular Endothelial Cell Injury. PLoS ONE. 8(10). e76209–e76209. 19 indexed citations
20.
Xie, Huiqi, et al.. (2010). Cytochrome c Oxidase is Essential for Copper-Induced Regression of Cardiomyocyte Hypertrophy. Cardiovascular Toxicology. 10(3). 208–215. 20 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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