Fengying Guo

755 total citations
27 papers, 377 citations indexed

About

Fengying Guo is a scholar working on Molecular Biology, Oncology and Parasitology. According to data from OpenAlex, Fengying Guo has authored 27 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Parasitology. Recurrent topics in Fengying Guo's work include Single-cell and spatial transcriptomics (4 papers), Parasites and Host Interactions (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Fengying Guo is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Parasites and Host Interactions (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Fengying Guo collaborates with scholars based in China, Australia and United States. Fengying Guo's co-authors include Donald P. McManus, Darren J. Gray, Gail Williams, Yuesheng Li, Robert S. Li, Giovanna Raso, Yong-Kang He, Shengming Li, Liping Yuan and Franziska Bieri and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Fengying Guo

23 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengying Guo China 10 144 82 81 67 62 27 377
Madi Njie United Kingdom 9 60 0.4× 68 0.8× 16 0.2× 120 1.8× 11 0.2× 11 570
Rosauro Varo Mozambique 12 44 0.3× 47 0.6× 23 0.3× 54 0.8× 4 0.1× 38 466
Sadik Mithwani Kenya 12 87 0.6× 106 1.3× 140 1.7× 35 0.5× 7 0.1× 13 683
Nadia Montero‐Oleas Ecuador 10 43 0.3× 34 0.4× 4 0.0× 37 0.6× 21 0.3× 16 365
Evelyn Gitau Kenya 12 30 0.2× 44 0.5× 38 0.5× 41 0.6× 4 0.1× 28 421
António Sitoe Mozambique 10 21 0.1× 32 0.4× 23 0.3× 37 0.6× 3 0.0× 24 254
Shweta Kumari India 8 5 0.0× 39 0.5× 49 0.6× 127 1.9× 14 0.2× 37 457
A. Diarra Mali 10 129 0.9× 37 0.5× 18 0.2× 39 0.6× 23 0.4× 40 470
Lee Wu United States 14 28 0.2× 285 3.5× 551 6.8× 110 1.6× 7 0.1× 22 926
Habtamu B. Beyene Australia 13 12 0.1× 19 0.2× 20 0.2× 123 1.8× 3 0.0× 22 376

Countries citing papers authored by Fengying Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fengying Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengying Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Fengying Guo. A scholar is included among the top collaborators of Fengying Guo 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 Fengying Guo. Fengying Guo 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.
2.
Feng, Jiajie, Fengying Guo, Peng Li, et al.. (2024). Discovery of a Macrocyclic Influenza Cap-Dependent Endonuclease Inhibitor. Journal of Medicinal Chemistry. 67(4). 2570–2583. 10 indexed citations
3.
Xu, Xin, Guan Wang, Qiang Li, et al.. (2023). Conformationally constrained potent inhibitors for enhancer of zeste homolog 2 (EZH2). Bioorganic & Medicinal Chemistry Letters. 97. 129558–129558. 4 indexed citations
4.
Zhai, Yiyan, Jingyuan Zhang, Zhihong Huang, et al.. (2023). Single-cell RNA sequencing integrated with bulk RNA sequencing analysis reveals diagnostic and prognostic signatures and immunoinfiltration in gastric cancer. Computers in Biology and Medicine. 163. 107239–107239. 7 indexed citations
5.
Guo, Siyu, Xinkui Liu, Jingyuan Zhang, et al.. (2023). Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels T cell-related prognostic risk model and tumor immune microenvironment modulation in triple-negative breast cancer. Computers in Biology and Medicine. 161. 107066–107066. 27 indexed citations
6.
Wang, Meng, Yanmei Ma, Denghai Zhang, et al.. (2023). Selenium inhibits ferroptosis in hyperglycemic cerebral ischemia/reperfusion injury by stimulating the Hippo pathway. PLoS ONE. 18(9). e0291192–e0291192. 7 indexed citations
7.
Huang, Zhihong, Chao Wu, Wei Zhou, et al.. (2023). Compound Kushen Injection inhibits epithelial-mesenchymal transition of gastric carcinoma by regulating VCAM1 induced by the TNF signaling pathway. Phytomedicine. 118. 154984–154984. 15 indexed citations
8.
9.
Liu, Xinkui, Meirong Bai, Huiying Li, et al.. (2022). Single-cell RNA-sequencing uncovers compound kushen injection synergistically improves the efficacy of chemotherapy by modulating the tumor environment of breast cancer. Frontiers in Immunology. 13. 965342–965342. 11 indexed citations
10.
Huang, Zhihong, Chao Wu, Xinkui Liu, et al.. (2022). Single-Cell and Bulk RNA Sequencing Reveal Malignant Epithelial Cell Heterogeneity and Prognosis Signatures in Gastric Carcinoma. Cells. 11(16). 2550–2550. 10 indexed citations
11.
Liu, Xinkui, Yang Wu, Yingying Zhang, et al.. (2021). High Throughput Transcriptome Data Analysis and Computational Verification Reveal Immunotherapy Biomarkers of Compound Kushen Injection for Treating Triple-Negative Breast Cancer. Frontiers in Oncology. 11. 747300–747300. 4 indexed citations
12.
Guo, Fengying, et al.. (2018). Exploration on improving the teaching method of veterinary pharmacology.. 39(2). 103–105.
13.
Gray, Darren J., Yuesheng Li, Gail Williams, et al.. (2014). A multi-component integrated approach for the elimination of schistosomiasis in the People’s Republic of China: design and baseline results of a 4-year cluster-randomised intervention trial. International Journal for Parasitology. 44(9). 659–668. 37 indexed citations
14.
Li, Shengming, Zheng-Yuan Zhao, Zhanghua Wang, et al.. (2014). [Evaluation on effect of treatment and assistance to advanced schistosomiasis patients in Hunan Province from 2004 to 2013].. PubMed. 26(4). 362–6. 2 indexed citations
15.
Li, Jing, Jianzhong Zhang, Jiangang Wang, et al.. (2013). Diabetes Inhibits Cerebral Ischemia-Induced Astrocyte Activation - an Observation in the Cingulate Cortex. International Journal of Biological Sciences. 9(9). 980–988. 22 indexed citations
16.
Bieri, Franziska, Liping Yuan, Yuesheng Li, et al.. (2013). Development of an educational cartoon to prevent worm infections in Chinese schoolchildren. Infectious Diseases of Poverty. 2(1). 29–29. 33 indexed citations
17.
Wang, Zhixin, et al.. (2010). Effect of marshland isolation and grazing prohibition on schistosomiasis control in Dongting Lake region.. 22(5). 459–463. 3 indexed citations
18.
Li, Jing, et al.. (2006). Over-expression of extracellular signal-regulated kinase in vascular smooth muscle cell of hypertensive rats.. PubMed. 21(1). 36–40. 4 indexed citations
19.
Guo, Fengying. (2004). The Application of Virtual Reality Technology in Teaching on Internet.
20.
Zhang, Guirong, et al.. (1990). A new power standard for audio-frequency measurements. IEEE Transactions on Instrumentation and Measurement. 39(3). 545–547. 8 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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