Shibing Su

456 total citations
15 papers, 365 citations indexed

About

Shibing Su is a scholar working on Molecular Biology, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, Shibing Su has authored 15 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Shibing Su's work include Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Bioinformatics and Genomic Networks (4 papers). Shibing Su is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Bioinformatics and Genomic Networks (4 papers). Shibing Su collaborates with scholars based in China, United States and Hong Kong. Shibing Su's co-authors include Shuang Huang, Zhixing K. Pan, Peiqing Sun, Chitladda Mahanivong, R.K. Cheng, Yi-Yu Lu, Qianmei Zhou, Dafang Bian, Xiufeng Wang and Hui Zhang and has published in prestigious journals such as Cancer Research, Journal of Ethnopharmacology and Cancer Science.

In The Last Decade

Shibing Su

14 papers receiving 358 citations

Peers

Shibing Su
Yiyuan Huang United States
Xiong Zhu China
Emilie Logie Belgium
Shibing Su
Citations per year, relative to Shibing Su Shibing Su (= 1×) peers Jin-Jin Lin

Countries citing papers authored by Shibing Su

Since Specialization
Citations

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

Fields of papers citing papers by Shibing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibing Su

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

All Works

15 of 15 papers shown
1.
Gong, Yaoqin, Jia Wang, Qingqing Chen, et al.. (2024). Integrating proteomics and targeted metabolomics to reveal the material basis of liver-gallbladder damp-heat syndrome in chronic hepatitis B. Digital Chinese Medicine. 7(4). 320–331.
2.
Lu, Yi-Yu, Meiyi Li, Qianmei Zhou, et al.. (2022). Dynamic network biomarker analysis and system pharmacology methods to explore the therapeutic effects and targets of Xiaoyaosan against liver cirrhosis. Journal of Ethnopharmacology. 294. 115324–115324. 6 indexed citations
3.
Chen, Yinying, Wei Yang, Qilong Chen, et al.. (2021). Prediction of hepatocellular carcinoma risk in patients with chronic liver disease from dynamic modular networks. Journal of Translational Medicine. 19(1). 122–122. 1 indexed citations
4.
Hu, Xueqing, Yuan Zhou, Jian Chen, et al.. (2019). DNA Methylation and SNPs in VCX are Correlated with Sex Differences in the Response to Chronic Hepatitis B. Virologica Sinica. 34(5). 489–500. 1 indexed citations
5.
Lu, Yi-Yu, Zhaoyuan Fang, Tao Zeng, et al.. (2019). Chronic hepatitis B: dynamic change in Traditional Chinese Medicine syndrome by dynamic network biomarkers. Chinese Medicine. 14(1). 52–52. 21 indexed citations
6.
Lu, Yi-Yu, Zhaoyuan Fang, Meiyi Li, et al.. (2019). Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing. Journal of Molecular Cell Biology. 11(8). 665–677. 16 indexed citations
7.
Su, Shibing, et al.. (2018). Compound-target-pathway network analysis and effective mechanisms prediction of Bu-Shen-Jian-Pi formula. World Journal of Traditional Chinese Medicine. 4(4). 170–170. 3 indexed citations
8.
Hu, Xueqing, Bin Wei, Yanan Song, et al.. (2017). Plasma metabolic profiling on postoperative colorectal cancer patients with different traditional Chinese medicine syndromes. Complementary Therapies in Medicine. 36. 14–19. 13 indexed citations
9.
Ji, Qing, Fangshi Zhu, Xuan Liu, Qi Li, & Shibing Su. (2015). Recent Advance in Applications of Proteomics Technologies on Traditional Chinese Medicine Research. Evidence-based Complementary and Alternative Medicine. 2015. 1–13. 39 indexed citations
10.
Zheng, Ningning, Huijuan Cao, Shujun Sun, et al.. (2013). Current Understanding on Antihepatocarcinoma Effects of Xiao Chai Hu Tang and Its Constituents. Evidence-based Complementary and Alternative Medicine. 2013. 1–14. 29 indexed citations
11.
Sun, Shujun, Wenyu Wang, Huijuan Cao, et al.. (2012). Metabonomic Evaluation of ZHENG Differentiation and Treatment by Fuzhenghuayu Tablet in Hepatitis-B-Caused Cirrhosis. Evidence-based Complementary and Alternative Medicine. 2012. 1–8. 34 indexed citations
12.
Zhou, Qianmei, Xiufeng Wang, Xin-Jun Liu, et al.. (2011). Curcumin enhanced antiproliferative effect of mitomycin C in human breast cancer MCF-7 cells in vitro and in vivo. Acta Pharmacologica Sinica. 32(11). 1402–1410. 60 indexed citations
13.
14.
Bian, Dafang, Shibing Su, Chitladda Mahanivong, et al.. (2004). Lysophosphatidic Acid Stimulates Ovarian Cancer Cell Migration via a Ras-MEK Kinase 1 Pathway. Cancer Research. 64(12). 4209–4217. 109 indexed citations
15.
Su, Shibing. (1999). Knowledge discovery in molecular biology: Identifying structural regularities in proteins. Intelligent Data Analysis. 3(6). 413–436. 7 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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