Shaomin Shi

727 total citations
28 papers, 500 citations indexed

About

Shaomin Shi is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Shaomin Shi has authored 28 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Cancer Research. Recurrent topics in Shaomin Shi's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Autophagy in Disease and Therapy (5 papers). Shaomin Shi is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Autophagy in Disease and Therapy (5 papers). Shaomin Shi collaborates with scholars based in China, United States and Lebanon. Shaomin Shi's co-authors include Zhongsen Ma, Meihan Liu, Bingdi Yan, Tao Han, Ping Tan, Jia Guo, Ning Li, Rong Gao, Jing Wang and Zhenxing Zhu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology and Journal of Alloys and Compounds.

In The Last Decade

Shaomin Shi

26 papers receiving 499 citations

Peers

Shaomin Shi

EPIDE

PRM

ONCOL

Renyi Qin China

Yu-Chu Su Taiwan

Naveenkumar Perumal United States

Shi-Bing Su China

Zunqi Hu China

Jiapeng Xu China

Junyoung Choi South Korea

Leilei Li China

Wen-Chi Feng Taiwan

Renyi Qin China

Shaomin Shi

380 ×1.2

254 ×1.5

68 ×0.9

EPIDE

54 ×0.8

PRM

103 ×1.5

ONCOL

Citations per year, relative to Shaomin Shi Shaomin Shi (= 1×) peers Renyi Qin

Countries citing papers authored by Shaomin Shi

Since Specialization

Citations

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

Fields of papers citing papers by Shaomin Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaomin Shi

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

All Works

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20 of 20 papers shown

Bao, Yaning, Yifei Zou, Xing Huang, et al.. (2024). Genome-wide analysis and expression characteristics of Small Auxin-up RNAs genes in flax (Linum usitatissimum L.). Industrial Crops and Products. 217. 118874–118874.

Li, Chongyang, Sicheng Wan, Zhen Dong, et al.. (2024). Tetrandrine targeting SIRT5 exerts anti-melanoma properties via inducing ROS, ER stress, and blocked autophagy. Journal of Pharmaceutical Analysis. 14(10). 101036–101036. 2 indexed citations

Li, Chongyang, et al.. (2024). Comprehensive pan-cancer analysis reveals SIRT5 is a predictive biomarker for prognosis and immunotherapy response. Functional & Integrative Genomics. 24(2). 60–60. 4 indexed citations

Wang, Xu, et al.. (2023). Gamma-glutamyl transpeptidase and indirect bilirubin may participate in systemic inflammation of patients with psoriatic arthritis. Advances in Rheumatology. 63(1). 53–53. 5 indexed citations

Liu, Yuyao, et al.. (2023). Bulk and single-cell RNA-sequencing analyses along with abundant machine learning methods identify a novel monocyte signature in SKCM. Frontiers in Immunology. 14. 1094042–1094042. 7 indexed citations

Liu, Wei, Feng Wang, Chongyang Li, et al.. (2023). Morusin shows potent antitumor activity for melanoma through apoptosis induction and proliferation inhibition. BMC Cancer. 23(1). 602–602. 6 indexed citations

Liu, Yang, Lin Kang, Shaomin Shi, et al.. (2022). Skimmianine as a novel therapeutic agent suppresses proliferation and migration of human esophageal squamous cell carcinoma via blocking the activation of ERK1/2. Neoplasma. 69(3). 571–582. 8 indexed citations

Shi, Shaomin, Chongyang Li, Yanli Zhang, et al.. (2021). Dihydrocapsaicin Inhibits Cell Proliferation and Metastasis in Melanoma via Down-regulating β-Catenin Pathway. Frontiers in Oncology. 11. 648052–648052. 13 indexed citations

Li, Chongyang, Guangzhao Pan, Xue Wang, et al.. (2020). Lycorine hydrochloride inhibits cell proliferation and induces apoptosis through promoting FBXW7-MCL1 axis in gastric cancer. Journal of Experimental & Clinical Cancer Research. 39(1). 230–230. 59 indexed citations

10.

Du, Juan, Zhen Dong, Fang Zhang, et al.. (2020). Tubeimoside I Inhibits Cell Proliferation and Induces a Partly Disrupted and Cytoprotective Autophagy Through Rapidly Hyperactivation of MEK1/2-ERK1/2 Cascade via Promoting PTP1B in Melanoma. Frontiers in Cell and Developmental Biology. 8. 607757–607757. 24 indexed citations

11.

Zhu, Zhenxing, et al.. (2019). Long non-coding RNA MEG3 regulates migration and invasion of lung cancer stem cells via miR-650/SLC34A2 axis. Biomedicine & Pharmacotherapy. 120. 109457–109457. 45 indexed citations

12.

Liu, Meihan, et al.. (2018). Long noncoding RNA HAGLROS regulates cell apoptosis and autophagy in lipopolysaccharides-induced WI-38 cells via modulating miR-100/NF-κB axis. Biochemical and Biophysical Research Communications. 500(3). 589–596. 43 indexed citations

13.

Liu, Meihan, et al.. (2018). MORC2 Enhances Tumor Growth by Promoting Angiogenesis and Tumor-Associated Macrophage Recruitment via Wnt/β-Catenin in Lung Cancer. Cellular Physiology and Biochemistry. 51(4). 1679–1694. 29 indexed citations

14.

Yan, Bingdi, Zhongsen Ma, Shaomin Shi, et al.. (2017). Sulforaphane prevents bleomycin-induced pulmonary fibrosis in mice by inhibiting oxidative stress via nuclear factor erythroid 2-related factor-2 activation. Molecular Medicine Reports. 15(6). 4005–4014. 45 indexed citations

15.

Shi, Shaomin, et al.. (2017). HPIP silencing inhibits TGF-β1-induced EMT in lung cancer cells. International Journal of Molecular Medicine. 39(2). 479–483. 25 indexed citations

16.

Wang, Jing, et al.. (2016). Increased osteopontin protein expression may be correlated with poor prognosis in non-small-cell lung cancer: A meta analysis. Journal of Cancer Research and Therapeutics. 12(1). 277–277. 10 indexed citations

17.

Hou, Yiping, Jing Wang, Xianwen Wang, et al.. (2016). Appraising MicroRNA-155 as a Noninvasive Diagnostic Biomarker for Cancer Detection. Medicine. 95(2). e2450–e2450. 31 indexed citations

18.

Shi, Shaomin, Ping Tan, Bingdi Yan, et al.. (2016). ER stress and autophagy are involved in the apoptosis induced by cisplatin in human lung cancer cells. Oncology Reports. 35(5). 2606–2614. 90 indexed citations

19.

Tian, Xiujuan, Shaomin Shi, Xianwen Wang, et al.. (2015). Clinical Diagnostic Implications of Body Fluid MiRNA in Oral Squamous Cell Carcinoma. Medicine. 94(37). e1324–e1324. 15 indexed citations

20.

Zhu, Wenhao, et al.. (2009). Knowledge extraction and integration for semi-structural information in digital libraries. 485–486. 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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