Yongli Gu

695 total citations
14 papers, 471 citations indexed

About

Yongli Gu is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Yongli Gu has authored 14 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Pharmacology. Recurrent topics in Yongli Gu's work include RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Alzheimer's disease research and treatments (3 papers). Yongli Gu is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Alzheimer's disease research and treatments (3 papers). Yongli Gu collaborates with scholars based in United States, China and Germany. Yongli Gu's co-authors include Dennis J. Selkoe, Michael S. Wolfe, Anthony T. Annunziato, Daniel R. Montagna, Kevin Tong, Richard G. Cook, Courtney E. Barrows, Craig A. Mizzen, Haobo Jiang and Michael R. Kanost and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Drug Metabolism and Disposition.

In The Last Decade

Yongli Gu

13 papers receiving 467 citations

Peers

Yongli Gu
Rama Thimmapaya United States
T. Harada Japan
Ateesh Sidhu United Kingdom
Yongli Gu
Citations per year, relative to Yongli Gu Yongli Gu (= 1×) peers Angela Flagiello

Countries citing papers authored by Yongli Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yongli Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongli Gu

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

All Works

14 of 14 papers shown
1.
Zhang, Qian, et al.. (2025). Epithelial-mesenchymal transition biomarkers in patients with acute exacerbation of COPD are indicative of disease severity, disease progression, and risk of readmission. International Journal of Clinical Pharmacology and Therapeutics. 63(11). 530–541.
3.
Agarwal, Saket, Justin Darcy, Yongli Gu, et al.. (2021). Impact of Serum Proteins on the Uptake and RNAi Activity of GalNAc-Conjugated siRNAs. Nucleic Acid Therapeutics. 31(4). 309–315. 19 indexed citations
4.
Castellanos-Rizaldos, Elena, Christopher R. Brown, Joo‐Hwan Kim, et al.. (2020). RT-qPCR Methods to Support Pharmacokinetics and Drug Mechanism of Action to Advance Development of RNAi Therapeutics. Nucleic Acid Therapeutics. 30(3). 133–142. 14 indexed citations
5.
Ramsden, Diane, Jing‐Tao Wu, Brad Zerler, et al.. (2019). Special Section on Pharmacokinetic and Drug Metabolism Properties of Novel Therapeutic Modalities. Drug Metabolism and Disposition. 47(10). 1183–1194. 26 indexed citations
6.
Gu, Yongli, Joo‐Hwan Kim, Diana Najarian, et al.. (2019). Evaluation of Electrophoretic Mobility Shift Assay as a Method to Determine Plasma Protein Binding of siRNA. Bioanalysis. 11(21). 1927–1939. 14 indexed citations
7.
Wei, Han‐Xun, Dai Lu, Jing Zhang, et al.. (2016). Part 2. Notch-sparing γ-secretase inhibitors: The study of novel γ-amino naphthyl alcohols. Bioorganic & Medicinal Chemistry Letters. 26(9). 2133–2137. 5 indexed citations
8.
Lu, Dai, Han‐Xun Wei, Jing Zhang, et al.. (2016). Part 1: Notch-sparing γ-secretase inhibitors: The identification of novel naphthyl and benzofuranyl amide analogs. Bioorganic & Medicinal Chemistry Letters. 26(9). 2129–2132. 2 indexed citations
9.
Zhang, Jing, Dai Lu, Han‐Xun Wei, et al.. (2016). Part 3: Notch-sparing γ-secretase inhibitors: SAR studies of 2-substituted aminopyridopyrimidinones. Bioorganic & Medicinal Chemistry Letters. 26(9). 2138–2141. 3 indexed citations
10.
Montagna, Daniel R., et al.. (2015). Nicastrin functions to sterically hinder γ-secretase–substrate interactions driven by substrate transmembrane domain. Proceedings of the National Academy of Sciences. 113(5). E509–18. 106 indexed citations
12.
Gu, Yongli, Kevin Tong, Courtney E. Barrows, et al.. (2006). Modifications of H3 and H4 during Chromatin Replication, Nucleosome Assembly, and Histone Exchange. Journal of Biological Chemistry. 281(14). 9287–9296. 116 indexed citations
13.
Gu, Yongli, et al.. (2006). Properties of the Type B Histone Acetyltransferase Hat1. Journal of Biological Chemistry. 282(2). 836–842. 51 indexed citations
14.
Jiang, Haobo, Yang Wang, Yongli Gu, et al.. (2005). Molecular identification of a bevy of serine proteinases in Manduca sexta hemolymph. Insect Biochemistry and Molecular Biology. 35(8). 931–943. 68 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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