Jiannong Dai

538 total citations
17 papers, 421 citations indexed

About

Jiannong Dai is a scholar working on Ophthalmology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiannong Dai has authored 17 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ophthalmology, 6 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiannong Dai's work include Glaucoma and retinal disorders (9 papers), Retinal Diseases and Treatments (4 papers) and Cholesterol and Lipid Metabolism (4 papers). Jiannong Dai is often cited by papers focused on Glaucoma and retinal disorders (9 papers), Retinal Diseases and Treatments (4 papers) and Cholesterol and Lipid Metabolism (4 papers). Jiannong Dai collaborates with scholars based in United States, Canada and United Kingdom. Jiannong Dai's co-authors include Youyan Zhang, Guoqing Cao, Patrick I. Eacho, Patricia Foxworthy, Timothy P. Ryan, Hong Gao, Xian‐Cheng Jiang, Robert J. Schmidt, Brian A. Oldham and Keith A. Otto and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Jiannong Dai

15 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiannong Dai United States 9 234 214 104 72 63 17 421
Amirfarbod Yazdanyar United States 10 73 0.3× 141 0.7× 25 0.2× 50 0.7× 22 0.3× 17 298
Jianxin Yang United States 7 130 0.6× 206 1.0× 61 0.6× 48 0.7× 35 0.6× 8 323
Nathalie Berriot-Varoqueaux France 5 126 0.5× 137 0.6× 22 0.2× 91 1.3× 65 1.0× 6 317
Jungsu Kim United States 9 79 0.3× 180 0.8× 14 0.1× 26 0.4× 28 0.4× 12 371
Sarah R. Breevoort United States 9 140 0.6× 164 0.8× 60 0.6× 31 0.4× 33 0.5× 10 308
Angela M. Whetzel United States 7 104 0.4× 296 1.4× 36 0.3× 25 0.3× 56 0.9× 7 434
Matthias Muenzner Germany 9 45 0.2× 192 0.9× 33 0.3× 34 0.5× 19 0.3× 11 314
Qiangyou Wan China 9 50 0.2× 141 0.7× 21 0.2× 41 0.6× 24 0.4× 13 321
Shannon K. Withycombe United States 5 99 0.4× 104 0.5× 16 0.2× 50 0.7× 28 0.4× 9 312
L. P. Aggerbeck France 4 146 0.6× 138 0.6× 15 0.1× 122 1.7× 53 0.8× 6 348

Countries citing papers authored by Jiannong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jiannong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiannong Dai

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

All Works

17 of 17 papers shown
1.
Li, Haiyan, Jiannong Dai, Kamesh Dhamodaran, et al.. (2025). Characterization, Enrichment, and Computational Modeling of Cross-Linked Actin Networks in Transformed Trabecular Meshwork Cells. Investigative Ophthalmology & Visual Science. 66(2). 65–65. 2 indexed citations
2.
Dai, Jiannong, et al.. (2024). GSK3β Inhibitors Inhibit TGFβ Signaling in the Human Trabecular Meshwork. Investigative Ophthalmology & Visual Science. 65(10). 3–3. 1 indexed citations
3.
Dai, Jiannong, Michael Peng, Kamesh Dhamodaran, et al.. (2024). Inhibition of pterygium cell fibrosis by the Rho kinase inhibitor. Scientific Reports. 14(1). 30930–30930. 1 indexed citations
4.
Peng, Michael, et al.. (2022). Cross-linked actin networks (CLANs) affect stiffness and/or actin dynamics in transgenic transformed and primary human trabecular meshwork cells. Experimental Eye Research. 220. 109097–109097. 12 indexed citations
5.
Peng, Michael, et al.. (2022). The application of lentiviral vectors for the establishment of TGFβ2-induced ocular hypertension in C57BL/6J mice. Experimental Eye Research. 221. 109137–109137. 5 indexed citations
6.
Dai, Jiannong, et al.. (2022). Age and sex affect TGFβ2-induced ocular hypertension in C57BL/6J mice. Experimental Eye Research. 219. 109055–109055. 1 indexed citations
7.
Dai, Jiannong, Michael Peng, Hannah C. Webber, et al.. (2021). The Canonical Wnt Signaling Pathway Inhibits the Glucocorticoid Receptor Signaling Pathway in the Trabecular Meshwork. American Journal Of Pathology. 191(6). 1020–1035. 22 indexed citations
8.
Dai, Jiannong, Michael Peng, Shaohui Liu, et al.. (2021). Using CRISPR Interference as a Therapeutic Approach to Treat TGFβ2-Induced Ocular Hypertension and Glaucoma. Investigative Ophthalmology & Visual Science. 62(12). 7–7. 14 indexed citations
9.
Peng, Michael, et al.. (2021). An ex vivo model of human corneal rim perfusion organ culture. Experimental Eye Research. 214. 108891–108891. 8 indexed citations
10.
Peng, Michael, Hemavathy Harikrishnan, Jiannong Dai, et al.. (2021). A smartphone based method for mouse fundus imaging. Experimental Eye Research. 206. 108530–108530.
11.
Peng, Michael, et al.. (2020). The Role of the Ocular Tissue in SARS-CoV-2 Transmission. SHILAP Revista de lepidopterología.
12.
Miller, Sally, Iain R. Greig, Ruth A. Ross, et al.. (2020). Evidence that cannabinoid CB1 receptors regulate intraocular pressure via two opposing mechanisms. Experimental Eye Research. 200. 108241–108241. 8 indexed citations
13.
Peng, Michael, et al.. (2020). <p>The Role of the Ocular Tissue in SARS-CoV-2 Transmission</p>. Clinical ophthalmology. Volume 14. 3017–3024. 13 indexed citations
14.
Troutt, Jason S., William E. Alborn, Marian Mosior, et al.. (2007). An apolipoprotein A-I mimetic dose-dependently increases the formation of preβ1 HDL in human plasma. Journal of Lipid Research. 49(3). 581–587. 36 indexed citations
15.
Beyer, Thomas P., Robert J. Schmidt, Patricia Foxworthy, et al.. (2004). Coadministration of a Liver X Receptor Agonist and a Peroxisome Proliferator Activator Receptor-α Agonist in Mice: Effects of Nuclear Receptor Interplay on High-Density Lipoprotein and Triglyceride Metabolism in Vivo. Journal of Pharmacology and Experimental Therapeutics. 309(3). 861–868. 34 indexed citations
16.
Cao, Guoqing, Liang Yu, Carol L. Broderick, et al.. (2003). Antidiabetic Action of a Liver X Receptor Agonist Mediated By Inhibition of Hepatic Gluconeogenesis. Journal of Biological Chemistry. 278(2). 1131–1136. 239 indexed citations
17.
Dai, Jiannong, Barbara A. Miller, & Reneé C. Lin. (1997). Alcohol Feeding Impedes Early Atherosclerosis in Low‐Density Lipoprotein Receptor Knockout Mice: Factors in Addition to High‐Density Lipoprotein‐Apolipoprotein A1 Are Involved. Alcoholism Clinical and Experimental Research. 21(1). 11–18. 25 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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