Jack Zhao

473 total citations
12 papers, 391 citations indexed

About

Jack Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Jack Zhao has authored 12 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jack Zhao's work include Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Jack Zhao is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Jack Zhao collaborates with scholars based in United States, China and Australia. Jack Zhao's co-authors include Leslie Pick, Greg Lemke, Wanbo Li, Hui Tian, Kang Dai, Shu‐Gui Huang, Gene Cutler, Juan Du, Songzhu An and Lingming Liang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jack Zhao

11 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Zhao United States 8 263 131 87 50 39 12 391
Christine Ouvry France 10 270 1.0× 269 2.1× 112 1.3× 113 2.3× 70 1.8× 11 490
Linda Barsalou United States 10 506 1.9× 97 0.7× 31 0.4× 173 3.5× 31 0.8× 15 599
Fa‐Yun Che United States 7 321 1.2× 61 0.5× 25 0.3× 175 3.5× 41 1.1× 10 483
Benoît Lectez Spain 15 405 1.5× 102 0.8× 26 0.3× 114 2.3× 51 1.3× 20 653
Marijke Van Moorhem Belgium 7 360 1.4× 55 0.4× 11 0.1× 61 1.2× 88 2.3× 9 482
Jan Daniel Rudolph Germany 9 369 1.4× 92 0.7× 8 0.1× 80 1.6× 46 1.2× 10 649
Shyh‐Yuh Liou Japan 10 190 0.7× 51 0.4× 12 0.1× 124 2.5× 42 1.1× 18 392
Mustapha Moussaif United States 11 292 1.1× 58 0.4× 10 0.1× 112 2.2× 41 1.1× 13 444

Countries citing papers authored by Jack Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jack Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Zhao

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

All Works

12 of 12 papers shown
1.
Jing, Yankang, Terence F. McGuire, Jack Zhao, et al.. (2025). GraphDeep-hERG: Graph Neural Network PharmacoAnalytics for Assessing hERG-Related Cardiotoxicity. Pharmaceutical Research. 42(4). 579–591.
2.
Jing, Yankang, Yuanyuan Xu, Terence F. McGuire, et al.. (2025). GCN-BBB: Deep Learning Blood-Brain Barrier (BBB) Permeability PharmacoAnalytics with Graph Convolutional Neural (GCN) Network. The AAPS Journal. 27(3). 73–73. 3 indexed citations
3.
Duncan, Christine, Paul J. Orchard, Florian Eichler, et al.. (2024). Evaluation of Mobilization, Apheresis, and Conditioning Regimen and Engraftment in Patients Receiving One-Time Gene Therapy with Elivaldogene Autotemcel (Eli-cel) for Cerebral Adrenoleukodystrophy (CALD). Transplantation and Cellular Therapy. 30(2). S232–S233. 1 indexed citations
4.
Feng, Zhiwei, Siyi Wang, Maozi Chen, et al.. (2020). Binding Characterization of GPCRs-Modulator by Molecular Complex Characterizing System (MCCS). ACS Chemical Neuroscience. 11(20). 3333–3345. 11 indexed citations
5.
Zhao, Jack, Hong Ouyang, Jing Luo, et al.. (2014). Induction of Retinal Progenitors and Neurons from Mammalian Müller Glia under Defined Conditions. Journal of Biological Chemistry. 289(17). 11945–11951. 28 indexed citations
6.
Tivnan, Amanda, Jack Zhao, Terrance G. Johns, et al.. (2013). The tumor suppressor microRNA, miR-124a, is regulated by epigenetic silencing and by the transcriptional factor, REST in glioblastoma. Tumor Biology. 35(2). 1459–1465. 27 indexed citations
7.
Jiang, Li, et al.. (2009). Making an Offer They Cant Refuse: How Borrower Language in Peer-to-Peer Lending Impacts Funding (TOP 3 Student Paper). 1–32. 1 indexed citations
8.
Ronshaugen, Matthew, et al.. (2002). Structure and expression patterns of Drosophila TULP and TUSP, members of the tubby-like gene family. Mechanisms of Development. 117(1-2). 209–215. 19 indexed citations
9.
An, Songzhu, Gene Cutler, Jack Zhao, et al.. (2001). Identification and characterization of a melanin-concentrating hormone receptor. Proceedings of the National Academy of Sciences. 98(13). 7576–7581. 161 indexed citations
10.
Zhao, Jack & Greg Lemke. (1998). Rules for Ribozymes. Molecular and Cellular Neuroscience. 11(1-2). 92–97. 25 indexed citations
11.
Zhao, Jack & Greg Lemke. (1998). Selective disruption of neuregulin-1 function in vertebrate embryos using ribozyme-tRNA transgenes. Development. 125(10). 1899–1907. 34 indexed citations
12.
Zhao, Jack & Leslie Pick. (1993). Generating loss-of-function phenotypes of the fushi tarazu gene with a targeted ribozyme in Drosophila. Nature. 365(6445). 448–451. 81 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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