Jonah Cheung

3.3k total citations · 1 hit paper
29 papers, 2.5k citations indexed

About

Jonah Cheung is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Jonah Cheung has authored 29 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Pharmacology and 10 papers in Computational Theory and Mathematics. Recurrent topics in Jonah Cheung's work include Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (10 papers) and Bacterial Genetics and Biotechnology (5 papers). Jonah Cheung is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (10 papers) and Bacterial Genetics and Biotechnology (5 papers). Jonah Cheung collaborates with scholars based in United States, Japan and Australia. Jonah Cheung's co-authors include Wayne A. Hendrickson, E. Gary, Matthew C. Franklin, M. Cassidy, M. Rudolph, F. Burshteyn, J.J. Height, J. Love, Terrone L. Rosenberry and Kazuro Shiomi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jonah Cheung

28 papers receiving 2.5k citations

Hit Papers

Structures of Human Acetylcholinesterase in Complex with ... 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonah Cheung United States 18 1.3k 992 909 702 331 29 2.5k
Jure Stojan Slovenia 26 1.2k 0.9× 1.0k 1.0× 755 0.8× 477 0.7× 556 1.7× 96 2.5k
J. Love United States 14 963 0.7× 1.0k 1.0× 726 0.8× 537 0.8× 257 0.8× 16 2.1k
Hay Dvir Israel 19 1.2k 0.9× 913 0.9× 746 0.8× 605 0.9× 503 1.5× 33 2.6k
Arie Ordentlich Israel 34 2.3k 1.8× 1.2k 1.2× 1.3k 1.4× 738 1.1× 1.7k 5.1× 62 3.6k
Chanoch Kronman Israel 28 1.2k 1.0× 646 0.7× 721 0.8× 396 0.6× 708 2.1× 65 2.1k
Charles B. Millard United States 27 1.0k 0.8× 831 0.8× 580 0.6× 398 0.6× 598 1.8× 63 2.4k
Urs Brodbeck Switzerland 33 1.1k 0.8× 1.8k 1.8× 473 0.5× 358 0.5× 505 1.5× 107 3.4k
Françoise Bouet France 20 717 0.6× 1.1k 1.1× 453 0.5× 372 0.5× 132 0.4× 41 1.8k
Cristina Airoldi Italy 30 369 0.3× 1.2k 1.2× 136 0.1× 517 0.7× 233 0.7× 100 2.3k
Alessandra Nurisso Switzerland 25 330 0.3× 1000 1.0× 138 0.2× 458 0.7× 252 0.8× 48 1.9k

Countries citing papers authored by Jonah Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Jonah Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonah Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Jonah Cheung. A scholar is included among the top collaborators of Jonah Cheung 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 Jonah Cheung. Jonah Cheung 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
2.
Cheung, Jonah, et al.. (2023). Crystal Structure of a Chimeric Antigen Receptor (CAR) scFv Domain Rearrangement Forming a VL-VL Dimer. Crystals. 13(4). 710–710. 3 indexed citations
3.
Evans, Chantell S., et al.. (2021). ALS- and FTD-associated missense mutations in TBK1 differentially disrupt mitophagy. Proceedings of the National Academy of Sciences. 118(24). 68 indexed citations
4.
Bester, S.M., Mark A. Guelta, Jonah Cheung, et al.. (2021). Structural and Biochemical Insights into the Inhibition of Human Acetylcholinesterase by G-Series Nerve Agents and Subsequent Reactivation by HI-6. Chemical Research in Toxicology. 34(3). 804–816. 9 indexed citations
5.
Zimanyi, Christina M., et al.. (2020). Structure of the Regulatory Cytosolic Domain of a Eukaryotic Potassium-Chloride Cotransporter. Structure. 28(9). 1051–1060.e4. 6 indexed citations
6.
Ye, Junqiang, Jonah Cheung, Valeria Gerbino, et al.. (2019). Effects of ALS-associated TANK binding kinase 1 mutations on protein–protein interactions and kinase activity. Proceedings of the National Academy of Sciences. 116(49). 24517–24526. 32 indexed citations
7.
Rosenberry, Terrone L. & Jonah Cheung. (2019). Rate-limiting step in the decarbamoylation of acetylcholinesterases with large carbamoyl groups. Chemico-Biological Interactions. 308. 392–395. 1 indexed citations
8.
Bester, S.M., Mark A. Guelta, Jonah Cheung, et al.. (2018). Structural Insights of Stereospecific Inhibition of Human Acetylcholinesterase by VX and Subsequent Reactivation by HI-6. Chemical Research in Toxicology. 31(12). 1405–1417. 43 indexed citations
9.
Cheung, Jonah, et al.. (2017). Novel structural features drive DNA binding properties of Cmr, a CRP family protein in TB complex mycobacteria. Nucleic Acids Research. 46(1). 403–420. 7 indexed citations
10.
11.
Monahan, Kevin D., et al.. (2017). Cooperative interactions enable singular olfactory receptor expression in mouse olfactory neurons. eLife. 6. 93 indexed citations
12.
Cheung, Jonah, Christopher S. Ginter, M. Cassidy, et al.. (2015). Structural insights into mis-regulation of protein kinase A in human tumors. Proceedings of the National Academy of Sciences. 112(5). 1374–1379. 75 indexed citations
14.
Chaudhury, Sidhartha, Mohamed Diwan M. AbdulHameed, Narender Singh, et al.. (2013). Rapid Countermeasure Discovery against Francisella tularensis Based on a Metabolic Network Reconstruction. PLoS ONE. 8(5). e63369–e63369. 13 indexed citations
15.
Cheung, Jonah & Wayne A. Hendrickson. (2010). Sensor domains of two-component regulatory systems. Current Opinion in Microbiology. 13(2). 116–123. 164 indexed citations
16.
Cheung, Jonah, et al.. (2009). Crystal structure of a histidine kinase sensor domain with similarity to periplasmic binding proteins. Proteins Structure Function and Bioinformatics. 77(1). 235–241. 23 indexed citations
17.
Cheung, Jonah & Wayne A. Hendrickson. (2009). Structural Analysis of Ligand Stimulation of the Histidine Kinase NarX. Structure. 17(2). 190–201. 100 indexed citations
18.
Cheung, Jonah, C.A. Bingman, Marsha Reyngold, Wayne A. Hendrickson, & Carey D. Waldburger. (2008). Crystal Structure of a Functional Dimer of the PhoQ Sensor Domain. Journal of Biological Chemistry. 283(20). 13762–13770. 77 indexed citations
19.
Cheung, Jonah & Wayne A. Hendrickson. (2008). Crystal Structures of C4-Dicarboxylate Ligand Complexes with Sensor Domains of Histidine Kinases DcuS and DctB. Journal of Biological Chemistry. 283(44). 30256–30265. 91 indexed citations
20.
Cheung, Jonah, Qi Shi, P. Davidovits, et al.. (2000). Heterogeneous Interactions of NO2with Aqueous Surfaces. The Journal of Physical Chemistry A. 104(12). 2655–2662. 69 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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