Xiaoyan Dang

680 total citations
18 papers, 582 citations indexed

About

Xiaoyan Dang is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Xiaoyan Dang has authored 18 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cancer Research. Recurrent topics in Xiaoyan Dang's work include MicroRNA in disease regulation (4 papers), Autophagy in Disease and Therapy (3 papers) and Liver physiology and pathology (2 papers). Xiaoyan Dang is often cited by papers focused on MicroRNA in disease regulation (4 papers), Autophagy in Disease and Therapy (3 papers) and Liver physiology and pathology (2 papers). Xiaoyan Dang collaborates with scholars based in China. Xiaoyan Dang's co-authors include Haitao Shi, Xiaolan Lu, Jiong Jiang, Lei Dong, Jia Miao, Juhui Zhao, Gang Zhao, Longfei Pan, Yong Qin and Wei Li and has published in prestigious journals such as Toxicology, Oncotarget and Cellular Signalling.

In The Last Decade

Xiaoyan Dang

18 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Dang China 11 268 165 111 86 72 18 582
Jiong Jiang China 10 174 0.6× 117 0.7× 70 0.6× 67 0.8× 61 0.8× 24 483
Quan Jin China 19 366 1.4× 159 1.0× 65 0.6× 66 0.8× 106 1.5× 33 694
Kyung Hwan Jegal South Korea 13 348 1.3× 118 0.7× 48 0.4× 49 0.6× 74 1.0× 30 601
Xinyan Xue China 15 193 0.7× 124 0.8× 54 0.5× 66 0.8× 103 1.4× 28 548
María de Luján Álvarez Argentina 16 259 1.0× 173 1.0× 77 0.7× 81 0.9× 62 0.9× 36 637
Marı́a Cristina Carrillo Argentina 16 271 1.0× 132 0.8× 76 0.7× 66 0.8× 85 1.2× 37 712
Jingda Li China 12 286 1.1× 222 1.3× 64 0.6× 31 0.4× 86 1.2× 27 688
Gi Ho Lee South Korea 17 248 0.9× 72 0.4× 61 0.5× 59 0.7× 48 0.7× 37 550
Marı́a Teresa Ronco Argentina 17 256 1.0× 232 1.4× 66 0.6× 82 1.0× 81 1.1× 37 770
Jianzhi Wu China 15 195 0.7× 200 1.2× 51 0.5× 52 0.6× 90 1.3× 25 483

Countries citing papers authored by Xiaoyan Dang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Dang. A scholar is included among the top collaborators of Xiaoyan Dang 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 Xiaoyan Dang. Xiaoyan Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
2.
Zhang, Rui, Zequn Niu, Jie Liu, et al.. (2022). LncRNA SNHG1 promotes sepsis‐induced myocardial injury by inhibiting Bcl‐2 expression via DNMT1. Journal of Cellular and Molecular Medicine. 26(13). 3648–3658. 15 indexed citations
3.
Gao, Yanxia, Longfei Pan, Li Zhao, & Xiaoyan Dang. (2020). HDAC1 promotes artery injury through activation of VAV3 by binding to miR-182-5p in atherosclerotic mice model. Cellular Signalling. 78. 109840–109840. 8 indexed citations
4.
Zhang, Rui, Longfei Pan, Honghong Pei, et al.. (2020). Glaucocalyxin A Protects H9c2 Cells Against Hypoxia/Reoxygenation-Induced Injury Through the Activation of Akt/Nrf2/HO-1 Pathway. Cell Transplantation. 29. 2790876415–2790876415. 13 indexed citations
5.
Dang, Xiaoyan, et al.. (2020). Knockdown of Tripartite Motif 8 Protects H9C2 Cells Against Hypoxia/Reoxygenation-Induced Injury Through the Activation of PI3K/Akt Signaling Pathway. Cell Transplantation. 29. 2790874572–2790874572. 10 indexed citations
6.
Dang, Xiaoyan, Rui Zhang, Yong Qin, et al.. (2019). HIPK2 overexpression relieves hypoxia/reoxygenation-induced apoptosis and oxidative damage of cardiomyocytes through enhancement of the Nrf2/ARE signaling pathway. Chemico-Biological Interactions. 316. 108922–108922. 13 indexed citations
7.
Pan, Longfei, Zequn Niu, Wei Li, et al.. (2017). Identification of microRNAs as potential biomarkers for lung adenocarcinoma using integrating genomics analysis. Oncotarget. 8(38). 64143–64156. 31 indexed citations
8.
Dang, Xiaoyan, et al.. (2016). Effect of packaging and storage temperature on water holding capacity of catfish fillets during storage based on low field NMR.. Nongye gongcheng xuebao. 32(20). 281–289. 2 indexed citations
9.
Wang, Xiaochuang, Lina Wang, Qu Li, et al.. (2015). Mammalian target of rapamycin overexpression antagonizes chronic hypoxia-triggered pulmonary arterial hypertension via the autophagic pathway. International Journal of Molecular Medicine. 36(1). 316–322. 21 indexed citations
10.
Wang, Xiaochuang, Lingxia Li, Xiaolin Niu, et al.. (2014). mTOR Enhances Foam Cell Formation by Suppressing the Autophagy Pathway. DNA and Cell Biology. 33(4). 198–204. 48 indexed citations
11.
Qin, Yong, Zhenhua Ma, Xiaoyan Dang, Wei Li, & Qingyong Ma. (2014). Effect of resveratrol on proliferation and apoptosis of human pancreatic cancer MIA PaCa-2 cells may involve inhibition of the Hedgehog signaling pathway. Molecular Medicine Reports. 10(5). 2563–2567. 36 indexed citations
12.
Qin, Yong, et al.. (2014). miR-133a Functions as a Tumor Suppressor and Directly Targets FSCN1 in Pancreatic Cancer. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 21(6). 353–363. 44 indexed citations
13.
Wang, Xiaochuang, Lingxia Li, Manxiang Li, et al.. (2013). Knockdown of mTOR by lentivirus-mediated RNA interference suppresses atherosclerosis and stabilizes plaques via a decrease of macrophages by autophagy in apolipoprotein E-deficient mice. International Journal of Molecular Medicine. 32(5). 1215–1221. 33 indexed citations
14.
Shi, Haitao, Lei Dong, Xiaoyan Dang, et al.. (2013). Effect of chlorogenic acid on LPS-induced proinflammatory signaling in hepatic stellate cells. Inflammation Research. 62(6). 581–587. 78 indexed citations
15.
Dang, Xiaoyan, et al.. (2012). Uptake and conversion efficiencies of NPK and corresponding contribution to yield advantage in cotton-based intercropping systems. CHINESE JOURNAL OF ECO-AGRICULTURE. 20(5). 513–519. 4 indexed citations
16.
Dang, Xiaoyan, Lei Dong, Haitao Shi, & Baicang Zou. (2012). Effects of serum containing Chinese medicine Sanpi Pingwei (散癖平胃) formula on proliferation and apoptosis of human SGC-7901 cells. Chinese Journal of Integrative Medicine. 19(2). 119–126. 9 indexed citations
17.
Shi, Haitao, Lei Dong, Jiong Jiang, et al.. (2012). Chlorogenic acid reduces liver inflammation and fibrosis through inhibition of toll-like receptor 4 signaling pathway. Toxicology. 303. 107–114. 210 indexed citations
18.
Dang, Xiaoyan, et al.. (2004). Screening and cloning of the target genes transactivated by human gene 2 transactivated by hepatitis C virus NS3 protein using suppression subtractive hybridization. 12(4). 847–850. 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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