Shaoshan Han

945 total citations
30 papers, 639 citations indexed

About

Shaoshan Han is a scholar working on Molecular Biology, Cancer Research and Molecular Medicine. According to data from OpenAlex, Shaoshan Han has authored 30 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Molecular Medicine. Recurrent topics in Shaoshan Han's work include Antibiotic Resistance in Bacteria (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (6 papers). Shaoshan Han is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (6 papers). Shaoshan Han collaborates with scholars based in China, United States and South Korea. Shaoshan Han's co-authors include Kangsheng Tu, Zhikui Liu, Bowen Yao, Qingguang Liu, Wei Yang, Lei Han, Liankang Sun, Qingguang Liu, Yufeng Wang and Xin Zheng and has published in prestigious journals such as Gastroenterology, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.

In The Last Decade

Shaoshan Han

28 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaoshan Han China 15 424 304 85 76 63 30 639
Changsen Bai China 13 237 0.6× 193 0.6× 78 0.9× 35 0.5× 9 0.1× 34 506
Weiqing Wu China 14 284 0.7× 127 0.4× 70 0.8× 32 0.4× 9 0.1× 62 545
Bo Jin China 11 225 0.5× 101 0.3× 52 0.6× 23 0.3× 16 0.3× 25 510
Shipeng Sun China 13 321 0.8× 230 0.8× 63 0.7× 44 0.6× 8 0.1× 20 505
Xinjuan Kong China 11 304 0.7× 159 0.5× 98 1.2× 9 0.1× 36 0.6× 34 521
Xiaotian Dai China 13 327 0.8× 117 0.4× 90 1.1× 96 1.3× 4 0.1× 29 594
Wilhelm Schneiderhan Germany 11 232 0.5× 127 0.4× 253 3.0× 9 0.1× 57 0.9× 15 622
Hongzhi Sun China 11 224 0.5× 49 0.2× 69 0.8× 38 0.5× 12 0.2× 12 366
Yonglie Zhou China 12 198 0.5× 73 0.2× 92 1.1× 148 1.9× 5 0.1× 32 531
Shu Xia China 15 171 0.4× 159 0.5× 148 1.7× 107 1.4× 6 0.1× 56 673

Countries citing papers authored by Shaoshan Han

Since Specialization
Citations

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

Fields of papers citing papers by Shaoshan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoshan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoshan Han. A scholar is included among the top collaborators of Shaoshan 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 Shaoshan Han. Shaoshan 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.
Zhang, Zheng, et al.. (2024). Dissecting the genetic basis and mechanisms underlying the associations between multiple extrahepatic factors and autoimmune liver diseases. Journal of Translational Autoimmunity. 10. 100260–100260. 1 indexed citations
2.
Zhang, Sirui, Haiping Liu, Shuyan Liu, et al.. (2024). The role of universal stress protein Usp1413 in meropenem adaptive resistance and environmental stress responses in Acinetobacter baumannii. Current Research in Microbial Sciences. 8. 100332–100332.
3.
Li, Pu, Sirui Zhang, Kai Luo, et al.. (2024). The role of type VI secretion system genes in antibiotic resistance and virulence in Acinetobacter baumannii clinical isolates. Frontiers in Cellular and Infection Microbiology. 14. 1297818–1297818. 9 indexed citations
4.
Li, Pu, Sirui Zhang, Bei Han, et al.. (2023). Uncovering the Secretion Systems of Acinetobacter baumannii: Structures and Functions in Pathogenicity and Antibiotic Resistance. Antibiotics. 12(2). 195–195. 19 indexed citations
5.
Wang, Huanhuan, Runkun Liu, Huanye Mo, et al.. (2023). A novel nomogram predicting the early recurrence of hepatocellular carcinoma patients after R0 resection. Frontiers in Oncology. 13. 1133807–1133807. 8 indexed citations
6.
Zhang, Sirui, Pu Li, Kai Luo, et al.. (2023). The optimized carbapenem inactivation method for objective and accurate detection of carbapenemase-producing Acinetobacter baumannii. Frontiers in Microbiology. 14. 1185450–1185450. 9 indexed citations
7.
Wang, Liang, Liankang Sun, Runkun Liu, et al.. (2021). Long non-coding RNA MAPKAPK5-AS1/PLAGL2/HIF-1α signaling loop promotes hepatocellular carcinoma progression. Journal of Experimental & Clinical Cancer Research. 40(1). 72–72. 58 indexed citations
8.
Wang, Huanhuan, Ye Lu, Runkun Liu, et al.. (2021). A Non-Invasive Nomogram for Preoperative Prediction of Microvascular Invasion Risk in Hepatocellular Carcinoma. Frontiers in Oncology. 11. 745085–745085. 17 indexed citations
9.
Wang, Cong, Xiaohong Gai, Tao Song, et al.. (2021). Sulfatase 2-Induced Cancer-Associated Fibroblasts Promote Hepatocellular Carcinoma Progression via Inhibition of Apoptosis and Induction of Epithelial-to-Mesenchymal Transition. Frontiers in Cell and Developmental Biology. 9. 631931–631931. 22 indexed citations
10.
Han, Shaoshan, Liang Wang, Liankang Sun, et al.. (2019). MicroRNA-1251-5p promotes tumor growth and metastasis of hepatocellular carcinoma by targeting AKAP12. Biomedicine & Pharmacotherapy. 122. 109754–109754. 31 indexed citations
11.
Wang, Yufeng, Liang Wang, Liankang Sun, et al.. (2018). miR-532-3p promotes hepatocellular carcinoma progression by targeting PTPRT. Biomedicine & Pharmacotherapy. 109. 991–999. 44 indexed citations
12.
13.
Yang, Xue, Kai Qu, Jie Tao, et al.. (2017). Inhibition of CIP2A attenuates tumor progression by inducing cell cycle arrest and promoting cellular senescence in hepatocellular carcinoma. Biochemical and Biophysical Research Communications. 495(2). 1807–1814. 10 indexed citations
14.
Lei, Jin’e, Shaoshan Han, Wenjing Wu, et al.. (2016). Extensively drug-resistant Acinetobacter baumannii outbreak cross-transmitted in an intensive care unit and respiratory intensive care unit. American Journal of Infection Control. 44(11). 1280–1284. 26 indexed citations
15.
Tu, Kangsheng, Zhikui Liu, Bowen Yao, Shaoshan Han, & Wei Yang. (2015). MicroRNA-519a promotes tumor growth by targeting PTEN/PI3K/AKT signaling in hepatocellular carcinoma. International Journal of Oncology. 48(3). 965–974. 100 indexed citations
16.
Han, Shaoshan, et al.. (2013). Activated hepatic stellate cells promote hepatocellular carcinoma cell migration and invasion via the activation of FAK-MMP9 signaling. Oncology Reports. 31(2). 641–648. 34 indexed citations
17.
Han, Shaoshan, Lei Han, Hao Sun, et al.. (2013). Krüppel-like factor expression and correlation with FAK, MMP-9 and E-cadherin expression in hepatocellular carcinoma. Molecular Medicine Reports. 8(1). 81–88. 8 indexed citations
18.
Tu, Kangsheng, et al.. (2012). Evaluation of Fbxw7 expression and its correlation with the expression of c‐Myc, cyclin E and p53 in human hepatocellular carcinoma. Hepatology Research. 42(9). 904–910. 42 indexed citations
19.
20.
Yin, Guozhi, Kangsheng Tu, Shaoshan Han, et al.. (2012). [Downregulation of HSP70 gene expression and apoptosis in human hepatocellular carcinoma SMMC-7721 cells induced by nimesulide in vitro].. PubMed. 28(9). 933–6. 2 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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