Shasha Han

678 total citations
25 papers, 425 citations indexed

About

Shasha Han is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shasha Han has authored 25 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shasha Han's work include Cardiovascular Function and Risk Factors (3 papers), Gestational Diabetes Research and Management (3 papers) and Neonatal Respiratory Health Research (3 papers). Shasha Han is often cited by papers focused on Cardiovascular Function and Risk Factors (3 papers), Gestational Diabetes Research and Management (3 papers) and Neonatal Respiratory Health Research (3 papers). Shasha Han collaborates with scholars based in China, Germany and United States. Shasha Han's co-authors include Ya Jin, Guosheng Liu, Mei-yao He, Xuesong Yang, Guang Wang, Zhenglai Ma, Cheng Shen, Xia Wu, Hong Zhu and Aijun Sun and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Molecules.

In The Last Decade

Shasha Han

23 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shasha Han China 13 150 83 73 58 55 25 425
Hakan Türkön Türkiye 16 79 0.5× 98 1.2× 47 0.6× 39 0.7× 37 0.7× 52 580
Welmoed Reitsma Netherlands 9 94 0.6× 71 0.9× 74 1.0× 28 0.5× 71 1.3× 11 642
Jelica Bjekić-Macut Serbia 18 131 0.9× 219 2.6× 173 2.4× 35 0.6× 72 1.3× 45 1.0k
Zimiao Chen China 12 156 1.0× 31 0.4× 43 0.6× 37 0.6× 16 0.3× 27 568
Kali Makedou Greece 16 79 0.5× 63 0.8× 73 1.0× 32 0.6× 114 2.1× 73 616
Bing Yan China 14 198 1.3× 69 0.8× 181 2.5× 37 0.6× 26 0.5× 28 679
Chiara Sabbadin Italy 16 109 0.7× 58 0.7× 32 0.4× 15 0.3× 43 0.8× 63 872
Ana Carolina Ariza Mexico 11 147 1.0× 19 0.2× 35 0.5× 36 0.6× 85 1.5× 22 498
Ramesh Vidavalur United States 7 105 0.7× 54 0.7× 22 0.3× 53 0.9× 16 0.3× 23 374
Alina Weber Germany 7 98 0.7× 96 1.2× 40 0.5× 20 0.3× 14 0.3× 11 490

Countries citing papers authored by Shasha Han

Since Specialization
Citations

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

Fields of papers citing papers by Shasha Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shasha Han

This figure shows the co-authorship network connecting the top 25 collaborators of Shasha Han. A scholar is included among the top collaborators of Shasha Han 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 Shasha Han. Shasha Han 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.
Liao, Minqi, Haorong Li, Xin Su, et al.. (2025). Associations of breastfeeding with maternal and child health outcomes: umbrella review. American Journal of Clinical Nutrition. 122(4). 1061–1074.
2.
Han, Shasha, et al.. (2024). Interventions for Digital Addiction: Umbrella Review of Meta-Analyses. Journal of Medical Internet Research. 27. e59656–e59656. 6 indexed citations
3.
4.
He, Zonglin, Ya Jin, Sui Zhu, et al.. (2022). Serum Anion Gap Level Predicts All-Cause Mortality in Septic Patients: A Retrospective Study Based on the MIMIC III Database. Journal of Intensive Care Medicine. 38(4). 349–357. 16 indexed citations
5.
Gao, Xuping, Xin Su, Xue Han, et al.. (2022). Unsaturated Fatty Acids in Mental Disorders: An Umbrella Review of Meta‐Analyses. Advances in Nutrition. 13(6). 2217–2236. 46 indexed citations
6.
Zhang, Dong, et al.. (2022). EFEMP1 binds to STEAP1 to promote osteosarcoma proliferation and invasion via the Wnt/β-catenin and TGF-β/Smad2/3 signal pathways. Journal of bone oncology. 37. 100458–100458. 7 indexed citations
7.
8.
Jiang, Jingbo, et al.. (2021). Effect of Probenecid on Endothelial Cell Growth Rate and Retinal Angiogenesis in an Oxygen-Induced Retinopathy Model. Frontiers in Pharmacology. 12. 717351–717351. 4 indexed citations
9.
Han, Shasha, Guosheng Liu, Xiaotong Wang, et al.. (2021). A Prognostic Nomogram for Predicting Overall Survival in PediatricWilms Tumor Based on an Autophagy-related Gene Signature. Combinatorial Chemistry & High Throughput Screening. 25(8). 1385–1397. 7 indexed citations
10.
Wang, Guang, Shasha Han, Ya Jin, et al.. (2019). CNTF and Nrf2 Are Coordinately Involved in Regulating Self-Renewal and Differentiation of Neural Stem Cell during Embryonic Development. iScience. 19. 303–315. 21 indexed citations
11.
Sun, Xiaolei, Hong Zhu, Zhen Dong, et al.. (2017). Mitochondrial aldehyde dehydrogenase-2 deficiency compromises therapeutic effect of ALDH bright cell on peripheral ischemia. Redox Biology. 13. 196–206. 19 indexed citations
12.
He, Mei-yao, Guang Wang, Shasha Han, et al.. (2017). Negative impact of hyperglycaemia on mouse alveolar development. Cell Cycle. 17(1). 80–91. 11 indexed citations
13.
Shen, Cheng, Cong Wang, Shasha Han, et al.. (2016). Aldehyde dehydrogenase 2 deficiency negates chronic low-to-moderate alcohol consumption-induced cardioprotecion possibly via ROS-dependent apoptosis and RIP1/RIP3/MLKL-mediated necroptosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(8). 1912–1918. 37 indexed citations
14.
Jin, Ya, Guang Wang, Shasha Han, et al.. (2016). Effects of oxidative stress on hyperglycaemia-induced brain malformations in a diabetes mouse model. Experimental Cell Research. 347(1). 201–211. 13 indexed citations
15.
Wang, Cong, Fan Fan, Cheng Shen, et al.. (2016). Mitochondrial aldehyde dehydrogenase 2 deficiency aggravates energy metabolism disturbance and diastolic dysfunction in diabetic mice. Journal of Molecular Medicine. 94(11). 1229–1240. 39 indexed citations
16.
He, Mei-yao, Guang Wang, Shasha Han, et al.. (2016). Nrf2 signalling and autophagy are involved in diabetes mellitus-induced defects in the development of mouse placenta. Open Biology. 6(7). 160064–160064. 35 indexed citations
17.
Fan, Fan, Ming Liu, Shijun Wang, et al.. (2016). Aldehyde dehydrogenase 2 deficiency blunts compensatory cardiac hypertrophy through modulating Akt phosphorylation early after transverse aorta constriction in mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(9). 1587–1593. 23 indexed citations
18.
Zhao, Xiaona, Cheng Shen, Hong Zhu, et al.. (2016). Trans-Fatty Acids Aggravate Obesity, Insulin Resistance and Hepatic Steatosis in C57BL/6 Mice, Possibly by Suppressing the IRS1 Dependent Pathway. Molecules. 21(6). 705–705. 25 indexed citations
19.
Han, Shasha, Guang Wang, Ya Jin, et al.. (2015). Investigating the Mechanism of Hyperglycemia-Induced Fetal Cardiac Hypertrophy. PLoS ONE. 10(9). e0139141–e0139141. 54 indexed citations
20.
Han, Shasha, et al.. (2004). Phosphorus release and affecting factors in the sediments of eutrophic water. Europe PMC (PubMed Central). 23(2). 98–101. 4 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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