Jason R. Burke

820 total citations
10 papers, 416 citations indexed

About

Jason R. Burke is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Jason R. Burke has authored 10 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Jason R. Burke's work include Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (5 papers) and Polyamine Metabolism and Applications (2 papers). Jason R. Burke is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (5 papers) and Polyamine Metabolism and Applications (2 papers). Jason R. Burke collaborates with scholars based in United States, Sweden and Israel. Jason R. Burke's co-authors include Seth M. Rubin, Greg L. Hura, Jeffrey G. Pelton, Shina Caroline Lynn Kamerlin, Miriam Kaltenbach, Anna Pabis, Dan S. Tawfik, Joseph P. Noel, Mirco Dindo and Tyler Liban and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Journal of Molecular Biology.

In The Last Decade

Jason R. Burke

10 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason R. Burke United States	7	333	171	59	54	33	10	416
Xianhui Wu China	11	371 1.1×	44 0.3×	39 0.7×	7 0.1×	30 0.9×	23	481
Raquel Brandão Haga Brazil	6	302 0.9×	102 0.6×	134 2.3×	8 0.1×	18 0.5×	7	473
Chun‐Hua Wang Taiwan	14	385 1.2×	127 0.7×	56 0.9×	4 0.1×	14 0.4×	21	502
P.H. Clingen United Kingdom	9	325 1.0×	94 0.5×	48 0.8×	5 0.1×	10 0.3×	9	502
Chandraiah Lagisetti United States	14	574 1.7×	62 0.4×	22 0.4×	12 0.2×	5 0.2×	18	693
Daniella Ben‐Meir Israel	11	225 0.7×	124 0.7×	16 0.3×	4 0.1×	22 0.7×	14	329
Kazuto Nunomura Japan	10	255 0.8×	45 0.3×	43 0.7×	7 0.1×	6 0.2×	22	363
Daniel S. Hitchcock United States	12	308 0.9×	97 0.6×	36 0.6×	6 0.1×	35 1.1×	14	465
Yair Pozniak Israel	9	272 0.8×	70 0.4×	56 0.9×	5 0.1×	6 0.2×	14	441
Stephanie Roth United States	10	381 1.1×	152 0.9×	195 3.3×	3 0.1×	11 0.3×	11	491

Countries citing papers authored by Jason R. Burke

Since Specialization

Citations

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

Fields of papers citing papers by Jason R. Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason R. Burke. 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 Jason R. Burke. The network helps show where Jason R. Burke may publish in the future.

Co-authorship network of co-authors of Jason R. Burke

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

All Works

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10 of 10 papers shown

Castro, Anthony E., et al.. (2025). Structural and functional analysis of cancer-associated missense variants in the retinoblastoma protein pocket domain. Journal of Biological Chemistry. 301(3). 108284–108284. 1 indexed citations

Castro, Anthony E., et al.. (2023). Regulatory ligand binding in plant chalcone isomerase–like (CHIL) proteins. Journal of Biological Chemistry. 299(6). 104804–104804. 9 indexed citations

Burke, Jason R., James J. La Clair, Ryan N. Philippe, et al.. (2019). Bifunctional Substrate Activation via an Arginine Residue Drives Catalysis in Chalcone Isomerases. ACS Catalysis. 9(9). 8388–8396. 12 indexed citations

Kaltenbach, Miriam, Jason R. Burke, Mirco Dindo, et al.. (2018). Evolution of chalcone isomerase from a noncatalytic ancestor. Nature Chemical Biology. 14(6). 548–555. 120 indexed citations

Pye, Cameron R., et al.. (2016). A Strategy for Direct Chemical Activation of the Retinoblastoma Protein. ACS Chemical Biology. 11(5). 1192–1197. 3 indexed citations

Burke, Jason R., et al.. (2013). Multiple Mechanisms for E2F Binding Inhibition by Phosphorylation of the Retinoblastoma Protein C-Terminal Domain. Journal of Molecular Biology. 426(1). 245–255. 34 indexed citations

Burke, Jason R., Greg L. Hura, & Seth M. Rubin. (2012). Structures of inactive retinoblastoma protein reveal multiple mechanisms for cell cycle control. Genes & Development. 26(11). 1156–1166. 105 indexed citations

Balog, Eva Rose M., Jason R. Burke, Greg L. Hura, & Seth M. Rubin. (2011). Crystal structure of the unliganded retinoblastoma protein pocket domain. Proteins Structure Function and Bioinformatics. 79(6). 2010–2014. 14 indexed citations

Burke, Jason R., et al.. (2010). Phosphorylation-induced Conformational Changes in the Retinoblastoma Protein Inhibit E2F Transactivation Domain Binding. Journal of Biological Chemistry. 285(21). 16286–16293. 117 indexed citations

10.

Burke, Jason R.. (2010). Conflict in Cities and the Struggle for Modernity. Toward an Understanding of the Spatiality of the October Crisis. Cahiers de géographie du Québec. 53(150). 335–349. 1 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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