Shaopeng Zhang

851 total citations
41 papers, 587 citations indexed

About

Shaopeng Zhang is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Shaopeng Zhang has authored 41 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Pharmacology. Recurrent topics in Shaopeng Zhang's work include Pluripotent Stem Cells Research (7 papers), Fungal Biology and Applications (6 papers) and Mycorrhizal Fungi and Plant Interactions (5 papers). Shaopeng Zhang is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Fungal Biology and Applications (6 papers) and Mycorrhizal Fungi and Plant Interactions (5 papers). Shaopeng Zhang collaborates with scholars based in China, United States and Singapore. Shaopeng Zhang's co-authors include Wenjun Zhu, Yonglian Zheng, Wei Wei, Jianyong Han, Fang Peng, Ping Chen, Jinzhu Xiang, Ping Chen, Liang Yue and Qingqing Wei and has published in prestigious journals such as Chemical Communications, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Shaopeng Zhang

37 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaopeng Zhang China 15 267 203 86 48 47 41 587
Lingmin Jiang China 13 244 0.9× 217 1.1× 48 0.6× 63 1.3× 17 0.4× 59 596
Haitian Fu China 14 157 0.6× 307 1.5× 165 1.9× 36 0.8× 44 0.9× 42 685
Qingwei Wang China 16 542 2.0× 360 1.8× 63 0.7× 53 1.1× 64 1.4× 28 973
Funeng Geng China 17 285 1.1× 102 0.5× 62 0.7× 20 0.4× 56 1.2× 44 838
Juliana de Oliveira Brazil 12 160 0.6× 205 1.0× 63 0.7× 41 0.9× 35 0.7× 40 555
Sarita Das India 19 366 1.4× 112 0.6× 37 0.4× 22 0.5× 42 0.9× 39 782
Yingying Tian China 18 360 1.3× 62 0.3× 42 0.5× 27 0.6× 32 0.7× 72 836
Priyanka Prajapati India 9 188 0.7× 107 0.5× 45 0.5× 28 0.6× 41 0.9× 31 521
Weijuan Huang China 13 343 1.3× 164 0.8× 53 0.6× 49 1.0× 21 0.4× 21 681
Arshad Ahmed Padhiar China 13 276 1.0× 54 0.3× 69 0.8× 15 0.3× 24 0.5× 22 525

Countries citing papers authored by Shaopeng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shaopeng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaopeng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaopeng Zhang. A scholar is included among the top collaborators of Shaopeng Zhang 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 Shaopeng Zhang. Shaopeng Zhang 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.
Dong, Zhenhua, et al.. (2024). Utilizing Saliva Metabolomics for Diagnosing Gastric Cancer and Exploring the Changes in Saliva Metabolites After Surgery. OncoTargets and Therapy. Volume 17. 933–948. 2 indexed citations
2.
Xu, Yitian, et al.. (2024). The role of microbiota in gastric cancer: A comprehensive review. Helicobacter. 29(2). e13071–e13071. 3 indexed citations
3.
Meng, Yangyang, Yidong Wang, Shaopeng Zhang, et al.. (2023). Novel 4-Arylindolines Containing a Pyrido[3,2-d]pyrimidine Moiety as the Programmed Cell Death-1/Programmed Cell Death-Ligand 1 Interaction Inhibitors for Tumor Immunotherapy. Journal of Medicinal Chemistry. 66(17). 11815–11830. 6 indexed citations
4.
Xia, Qinghui, et al.. (2023). Effects on the Synthesis and Accumulation of Triterpenes in Leaves of Cyclocarya paliurus under MeJA Treatment. Forests. 14(9). 1735–1735. 3 indexed citations
5.
Xu, Yitian, Pengshan Zhang, Zai Luo, et al.. (2023). A predictive nomogram developed and validated for gastric cancer patients with triple-negative tumor markers. Future Oncology. 20(14). 919–934. 6 indexed citations
6.
Deng, Jie, Mengpei Guo, Xiaolin Fan, et al.. (2023). Synthesis, characterization, and cytotoxicity analysis of selenium nanoparticles stabilized by Morchella sextelata polysaccharide. International Journal of Biological Macromolecules. 242(Pt 3). 125143–125143. 23 indexed citations
7.
Zhang, Wei Dong, et al.. (2022). Rare Pseudoaneurysms Complicating From Endocarditis. Circulation Cardiovascular Imaging. 15(6). e013827–e013827.
8.
Fu, Bo, Xiaobei Wang, Nan Jiang, et al.. (2021). Improved myocardial performance in infarcted rat heart by injection of disulfide-cross-linked chitosan hydrogels loaded with basic fibroblast growth factor. Journal of Materials Chemistry B. 10(4). 656–665. 31 indexed citations
9.
Li, Bo, Zhigang Guo, Shaopeng Zhang, et al.. (2021). Mechanism of action of resolvin D1 in inhibiting the progression of aortic dissection in mice. Annals of Translational Medicine. 9(19). 1498–1498. 4 indexed citations
10.
Guoqiang, Pan, Wěi Li, Yang Zhang, et al.. (2020). <p>Discovering Biomarkers in Peritoneal Metastasis of Gastric Cancer by Metabolomics</p>. OncoTargets and Therapy. Volume 13. 7199–7211. 18 indexed citations
11.
Liu, Ximei, et al.. (2019). <p>INPP4B promotes colorectal cancer cell proliferation by activating mTORC1 signaling and cap-dependent translation</p>. OncoTargets and Therapy. Volume 12. 3109–3117. 7 indexed citations
12.
13.
Li, Zhigang, Haifeng Yang, Guangliang Wang, Xiaoqiang Han, & Shaopeng Zhang. (2018). Compressive properties and constitutive modeling of different regions of 8-week-old pediatric porcine brain under large strain and wide strain rates. Journal of the mechanical behavior of biomedical materials. 89. 122–131. 21 indexed citations
14.
Zhou, Hairong, et al.. (2018). Interaction between tissue factor pathway inhibitor-2 gene polymorphisms and environmental factors associated with coronary atherosclerosis in a Chinese Han. Journal of Thrombosis and Thrombolysis. 47(1). 67–72. 5 indexed citations
15.
Wei, Qingqing, Liang Zhong, Shaopeng Zhang, et al.. (2017). Bovine lineage specification revealed by single-cell gene expression analysis from zygote to blastocyst†. Biology of Reproduction. 97(1). 5–17. 53 indexed citations
16.
Xiang, Jinzhu, Suying Cao, Liang Zhong, et al.. (2017). Pluripotent stem cells secrete Activin A to improve their epiblast competency after injection into recipient embryos. Protein & Cell. 9(8). 717–728. 9 indexed citations
17.
Wen, Bingqiang, Ruiqi Li, Keren Cheng, et al.. (2017). Tetraploid embryonic stem cells can contribute to the development of chimeric fetuses and chimeric extraembryonic tissues. Scientific Reports. 7(1). 3030–3030. 4 indexed citations
18.
19.
Zhu, Wenjun, Wei Wei, Qi Wang, et al.. (2016). De novo assembly and transcriptome analysis of sclerotial development in Wolfiporia cocos. Gene. 588(2). 149–155. 17 indexed citations
20.
Pei, Yangli, Liang Yue, Wei Zhang, et al.. (2015). Improvement in Mouse iPSC Induction by Rab32 Reveals the Importance of Lipid Metabolism during Reprogramming. Scientific Reports. 5(1). 16539–16539. 16 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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