Dan Shan

1.9k total citations
57 papers, 633 citations indexed

About

Dan Shan is a scholar working on Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Dan Shan has authored 57 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Obstetrics and Gynecology, 10 papers in Public Health, Environmental and Occupational Health and 9 papers in Molecular Biology. Recurrent topics in Dan Shan's work include Pregnancy and preeclampsia studies (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). Dan Shan is often cited by papers focused on Pregnancy and preeclampsia studies (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). Dan Shan collaborates with scholars based in China, United States and Canada. Dan Shan's co-authors include Yayi Hu, Andrew M. Rauth, Ping Cai, Xiao Yu Wu, Preethy Prasad, Ailin Li, Yuxia Wu, Peiyuan Qiu, Sivakumar Ramadoss and Ranran Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Dan Shan

49 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Shan China 14 127 119 103 94 83 57 633
Zhen Yu China 24 456 3.6× 147 1.2× 108 1.0× 91 1.0× 38 0.5× 104 1.5k
Qingqing Wu China 16 159 1.3× 277 2.3× 77 0.7× 137 1.5× 21 0.3× 80 766
Hartmut Hopp Germany 12 164 1.3× 217 1.8× 87 0.8× 171 1.8× 15 0.2× 17 1.5k
Mingming Yu China 14 185 1.5× 77 0.6× 49 0.5× 92 1.0× 18 0.2× 40 608
Ying Jiang China 22 485 3.8× 348 2.9× 92 0.9× 376 4.0× 30 0.4× 71 1.5k
Shi Lu China 18 219 1.7× 87 0.7× 72 0.7× 52 0.6× 14 0.2× 29 779
Huixia Zhang China 12 105 0.8× 73 0.6× 102 1.0× 57 0.6× 10 0.1× 45 573
Tina Mose Denmark 14 103 0.8× 229 1.9× 176 1.7× 232 2.5× 21 0.3× 15 939

Countries citing papers authored by Dan Shan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Shan. A scholar is included among the top collaborators of Dan Shan 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 Dan Shan. Dan Shan 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.
Wang, Tianlei, Ping Wu, Yuxiang Wang, et al.. (2025). Associations between combined healthy lifestyle and adverse birth outcomes in 2 prospective cohorts: roles of gut microbiota and serum metabolites. American Journal of Clinical Nutrition. 122(6). 1735–1747.
2.
Hua, Xiumeng, Zhe Sun, Dan Shan, et al.. (2025). Pyruvate Dehydrogenase Kinase 4 Underlies the Metabolic Disorder of Cardiomyocytes in Patients With Hypertrophic Cardiomyopathy From Hypertrophy to Heart Failure. Journal of the American Heart Association. 14(15). e041401–e041401.
3.
Shan, Dan, et al.. (2025). Safety profiles of fondaparinux in pregnant women: a systematic review and meta-analysis. European Journal of Clinical Pharmacology. 81(4). 465–477.
4.
Zhang, Hang, Xiumeng Hua, Xiaohong Chen, et al.. (2024). Overexpression of ATP5F1A in Cardiomyocytes Promotes Cardiac Reverse Remodeling. Circulation Heart Failure. 17(7). e011504–e011504. 2 indexed citations
5.
Shan, Dan, et al.. (2024). Cesarean section “en caul” in preterm twin pregnancy: experience of a single center. Archives of Gynecology and Obstetrics. 310(2). 915–921.
6.
Shan, Dan, et al.. (2024). The Impact of Dibutyl Phthalate on Insulin Signaling in Human Skeletal Muscle Cells. Discovery Medicine. 36(188). 1811–1811.
7.
Shan, Dan, et al.. (2024). Current understanding of essential trace elements in intrahepatic cholestasis of pregnancy. BioMetals. 37(4). 943–953. 3 indexed citations
8.
Shan, Dan, Yin‐Ying Wang, Yixuan Sheng, et al.. (2023). Dynamic cellular changes in acute kidney injury caused by different ischemia time. iScience. 26(5). 106646–106646. 4 indexed citations
9.
Shan, Dan. (2023). New Media Development Model Based on Computer Network Technology. Procedia Computer Science. 228. 655–662. 3 indexed citations
10.
Zhu, Mingxin, Jianfeng Guo, Dan Shan, et al.. (2023). Sacubitril/Valsartan Cannot Improve Cardiac Function Compared with Valsartan in Patients Suffering Nonvalvular Atrial Fibrillation without Systolic Heart Failure. International Heart Journal. 64(6). 1032–1039. 1 indexed citations
11.
Wang, Kui, Jingyu Wang, Xiaohong Chen, et al.. (2023). Profiling cardiomyocytes at single cell resolution reveals COX7B could be a potential target for attenuating heart failure in cardiac hypertrophy. Journal of Molecular and Cellular Cardiology. 186. 45–56. 1 indexed citations
12.
Shan, Dan, et al.. (2021). Current understanding of autophagy in intrahepatic cholestasis of pregnancy. Placenta. 115. 53–59. 15 indexed citations
13.
Shan, Dan, et al.. (2020). Irisin level and neonatal birthweight: A systematic review and meta-analysis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 254. 25–32. 4 indexed citations
14.
Shan, Dan, Yayi Hu, Peiyuan Qiu, et al.. (2016). Intrahepatic Cholestasis of Pregnancy in Women With Twin Pregnancy. Twin Research and Human Genetics. 19(6). 697–707. 20 indexed citations
15.
Shan, Dan, Yuan Yuan, Yaoshen Wang, et al.. (2016). Non-Invasive Prenatal Diagnosis of Lethal Skeletal Dysplasia by Targeted Capture Sequencing of Maternal Plasma. PLoS ONE. 11(7). e0159355–e0159355. 14 indexed citations
16.
Tang, Ying, Liangzhi Xu, Dan Shan, et al.. (2015). Validity and reproducibility of a revised semi-quantitative food frequency questionnaire (SQFFQ) for women of age-group 12-44 years in Chengdu.. PubMed. 33(1). 50–9. 15 indexed citations
17.
Shan, Dan, Jason Li, Ping Cai, et al.. (2014). RGD-conjugated solid lipid nanoparticles inhibit adhesion and invasion of αvβ3 integrin-overexpressing breast cancer cells. Drug Delivery and Translational Research. 5(1). 15–26. 66 indexed citations
18.
Shan, Dan, et al.. (2013). Effects of Climate Change on Vegetation in Desert Steppe Inner Mongolia. Natural Resources. 4(4). 319–322. 7 indexed citations
19.
Wang, Linfeng, et al.. (2007). Effects of photoperiod and melatonin on nitrogen partitioning and production performance of Inner Mongolia White Cashmere Goats. Frontiers of Agriculture in China. 1(2). 229–236. 3 indexed citations
20.
Shan, Dan. (2006). Effects of Photoperiod and Melatonin on Nitrogen Partitioning and Cashmere Growth in Inner Mongolia White Cashmere Goats. Zhongguo nongye Kexue. 6 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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