Ying Guo

1.9k total citations
79 papers, 1.6k citations indexed

About

Ying Guo is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Ying Guo has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 30 papers in Molecular Biology and 27 papers in Epidemiology. Recurrent topics in Ying Guo's work include HIV/AIDS drug development and treatment (31 papers), HIV Research and Treatment (24 papers) and Influenza Virus Research Studies (14 papers). Ying Guo is often cited by papers focused on HIV/AIDS drug development and treatment (31 papers), HIV Research and Treatment (24 papers) and Influenza Virus Research Studies (14 papers). Ying Guo collaborates with scholars based in China, United States and Canada. Ying Guo's co-authors include Ke Tang, Yingli Cao, Jian‐Gong Shi, Chenggen Zhu, Jiamei Guo, Wendong Xu, Lijun Rong, Weiming Zhu, Jian Zhao and Qingyuan Hu and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Ying Guo

77 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Guo China 27 723 427 363 275 218 79 1.6k
Elizabeth A. Gullen United States 24 713 1.0× 406 1.0× 450 1.2× 301 1.1× 184 0.8× 51 1.6k
María B. Cassera United States 27 1.3k 1.8× 322 0.8× 311 0.9× 329 1.2× 250 1.1× 94 2.1k
Zong‐Gen Peng China 26 695 1.0× 233 0.5× 342 0.9× 608 2.2× 123 0.6× 96 1.8k
Xulin Chen China 21 447 0.6× 208 0.5× 264 0.7× 277 1.0× 122 0.6× 56 1.5k
Naheed Mahmood United Kingdom 22 975 1.3× 398 0.9× 492 1.4× 205 0.7× 493 2.3× 62 2.1k
Li Huang United States 34 1.3k 1.8× 569 1.3× 808 2.2× 260 0.9× 224 1.0× 100 2.8k
Robert J. Gulakowski United States 18 793 1.1× 355 0.8× 660 1.8× 137 0.5× 262 1.2× 27 1.8k
Jim‐Tong Horng Taiwan 27 941 1.3× 382 0.9× 220 0.6× 437 1.6× 176 0.8× 69 2.1k
Kyung‐Ae Lee South Korea 23 544 0.8× 563 1.3× 227 0.6× 273 1.0× 192 0.9× 55 1.9k
Michael T. Flavin United States 21 795 1.1× 294 0.7× 995 2.7× 176 0.6× 317 1.5× 48 2.1k

Countries citing papers authored by Ying Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ying Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Guo. A scholar is included among the top collaborators of Ying 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 Ying Guo. Ying 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.
Wu, You, et al.. (2025). Establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features. Acta Pharmaceutica Sinica B. 15(3). 1344–1358. 2 indexed citations
2.
Li, Jun, Ke Tang, Xuyang Zhao, et al.. (2024). Functional Aptamers In Vitro Evolution for Intranuclear Blockage of RNA-Protein Interaction. Journal of the American Chemical Society. 146(35). 24654–24662. 13 indexed citations
3.
4.
Ma, Ling, Biao Dong, Yujia Wang, et al.. (2019). Rational design and Structure−Activity relationship of coumarin derivatives effective on HIV-1 protease and partially on HIV-1 reverse transcriptase. European Journal of Medicinal Chemistry. 186. 111900–111900. 38 indexed citations
5.
6.
Guo, Jiamei, et al.. (2017). Discovery of a semi-synthesized cyclolignan as a potent HIV-1 non-nucleoside reverse transcriptase inhibitor. Journal of Asian Natural Products Research. 21(1). 76–85. 3 indexed citations
7.
Pan, Lili, Yang Li, Haiying Zhang, et al.. (2017). DHX15 is associated with poor prognosis in acute myeloid leukemia (AML) and regulates cell apoptosis via the NF-kB signaling pathway. Oncotarget. 8(52). 89643–89654. 27 indexed citations
8.
Chen, Qing & Ying Guo. (2016). Influenza Viral Hemagglutinin Peptide Inhibits Influenza Viral Entry by Shielding the Host Receptor. ACS Infectious Diseases. 2(3). 187–193. 19 indexed citations
9.
Ni, Lin, Jie Ma, Chuang‐Jun Li, et al.. (2015). Novel rearranged and highly oxygenated abietane diterpenoids from the leaves of Tripterygium wilfordii. Tetrahedron Letters. 56(10). 1239–1243. 27 indexed citations
10.
Xu, Zhongliang, Hua Zhou, Yingli Cao, et al.. (2014). 2,4,5-Trisubstituted thiazole derivatives: A novel and potent class of non-nucleoside inhibitors of wild type and mutant HIV-1 reverse transcriptase. European Journal of Medicinal Chemistry. 85. 27–42. 37 indexed citations
11.
Chen, Lin, et al.. (2013). Two New Derivatives of 2, 5-Dihydroxyphenylacetic Acid from the Kernel of Entada phaseoloides. Molecules. 18(2). 1477–1482. 15 indexed citations
12.
Tian, Ye, Wendong Xu, Chenggen Zhu, et al.. (2011). Lathyrane Diterpenoids from the Roots of Euphorbia micractina and Their Biological Activities. Journal of Natural Products. 74(5). 1221–1229. 39 indexed citations
13.
Tisoncik, Jennifer R., Ying Guo, Jia Yu, et al.. (2011). Identification of critical residues of influenza neuraminidase in viral particle release. Virology Journal. 8(1). 14–14. 16 indexed citations
14.
Huang, Yang, Xiaowei Wang, Yuan Lin, et al.. (2011). Inhibitory activity of 9-phenylcyclohepta[d]pyrimidinedione derivatives against different strains of HIV-1 as non-nucleoside reverse transcriptase inhibitors. Virology Journal. 8(1). 230–230. 8 indexed citations
15.
Lin, Sheng, Yanling Zhang, Mingtao Liu, et al.. (2010). Abietane and C20-Norabietane Diterpenes from the Stem Bark of Fraxinus sieboldiana and Their Biological Activities. Journal of Natural Products. 73(11). 1914–1921. 37 indexed citations
16.
Guo, Ying, Jizhen Wang, Haixia Xiao, et al.. (2009). Analysis of hemagglutinin-mediated entry tropism of H5N1 avian influenza. Virology Journal. 6(1). 39–39. 52 indexed citations
17.
Xu, Bailing, Yan Sun, Ying Guo, Yingli Cao, & Tao Yu. (2009). Synthesis and biological evaluation of N4-(hetero)arylsulfonylquinoxalinones as HIV-1 reverse transcriptase inhibitors. Bioorganic & Medicinal Chemistry. 17(7). 2767–2774. 28 indexed citations
18.
Lu, Xiao, Yanli Chen, Ying Guo, et al.. (2007). The design and synthesis of N-1-alkylated-5-aminoaryalkylsubstituted-6-methyluracils as potential non-nucleoside HIV-1 RT inhibitors. Bioorganic & Medicinal Chemistry. 15(23). 7399–7407. 37 indexed citations
19.
Chen, Yanli, Ying Guo, Hua Yang, Xiaowei Wang, & Junyi Liu. (2006). Synthesis of l‐(Alkoxymethyl)‐5‐benzyl‐6‐methyluracil as Potential Nonnucleoside HIV‐1 RT Inhibitors. Synthetic Communications. 36(19). 2913–2920. 3 indexed citations
20.
Zhao, Jian, Qingyuan Hu, Ying Guo, & Weiming Zhu. (2001). Effects of stress factors, bioregulators, and synthetic precursors on indole alkaloid production in compact callus clusters cultures of Catharanthus roseus. Applied Microbiology and Biotechnology. 55(6). 693–698. 63 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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