Tara L. Burke

588 total citations
8 papers, 412 citations indexed

About

Tara L. Burke is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tara L. Burke has authored 8 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tara L. Burke's work include Cancer Genomics and Diagnostics (2 papers), Genomics and Chromatin Dynamics (2 papers) and NF-κB Signaling Pathways (1 paper). Tara L. Burke is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Genomics and Chromatin Dynamics (2 papers) and NF-κB Signaling Pathways (1 paper). Tara L. Burke collaborates with scholars based in United States, China and Canada. Tara L. Burke's co-authors include Patrick A. Grant, Bruce Carter, KK Lee, Chuanbing Bian, Abdellah Allali‐Hassani, Jerry L. Workman, Jianye Zang, Jianbin Ruan, Chao Xu and Bo Zhou and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Tara L. Burke

8 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tara L. Burke United States 7 283 81 62 58 40 8 412
Sonia N. Acharya United States 7 354 1.3× 91 1.1× 50 0.8× 89 1.5× 35 0.9× 13 445
Nathalie Escalas France 11 305 1.1× 44 0.5× 42 0.7× 52 0.9× 17 0.4× 15 394
Anne-Claire Lavigne France 12 467 1.7× 37 0.5× 33 0.5× 100 1.7× 28 0.7× 16 558
М. В. Шепелев Russia 10 311 1.1× 32 0.4× 54 0.9× 49 0.8× 10 0.3× 32 412
Julie Carnesecchi France 11 253 0.9× 34 0.4× 39 0.6× 100 1.7× 11 0.3× 17 337
Anna Sawicka Austria 11 546 1.9× 19 0.2× 48 0.8× 79 1.4× 21 0.5× 12 630
Rachel Spokoini Israel 6 267 0.9× 31 0.4× 31 0.5× 34 0.6× 23 0.6× 7 352
Joni M. Seeling United States 7 538 1.9× 28 0.3× 25 0.4× 46 0.8× 45 1.1× 9 608
Maya Donyo Israel 8 395 1.4× 70 0.9× 104 1.7× 36 0.6× 13 0.3× 9 475
Maroof K. Zafar United States 13 392 1.4× 21 0.3× 74 1.2× 36 0.6× 11 0.3× 23 473

Countries citing papers authored by Tara L. Burke

Since Specialization
Citations

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

Fields of papers citing papers by Tara L. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tara L. Burke

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

All Works

8 of 8 papers shown
1.
Sireci, Anthony, Jay Patel, Loren Joseph, et al.. (2020). Molecular Pathology Economics 101: An Overview of Molecular Diagnostics Coding, Coverage, and Reimbursement. Journal of Molecular Diagnostics. 22(8). 975–993. 8 indexed citations
2.
Sabatini, Linda M., Charles Mathews, Shivang Doshi, et al.. (2016). Genomic Sequencing Procedure Microcosting Analysis and Health Economic Cost-Impact Analysis. Journal of Molecular Diagnostics. 18(3). 319–328. 72 indexed citations
3.
Cole, Hope A., Feng Cui, Josefina Ocampo, et al.. (2015). Novel nucleosomal particles containing core histones and linker DNA but no histone H1. Nucleic Acids Research. 44(2). 573–581. 18 indexed citations
4.
Burke, Tara L., J. Miller, & Patrick A. Grant. (2013). Direct Inhibition of Gcn5 Protein Catalytic Activity by Polyglutamine-expanded Ataxin-7. Journal of Biological Chemistry. 288(47). 34266–34275. 23 indexed citations
5.
Bian, Chuanbing, Chao Xu, Jianbin Ruan, et al.. (2011). Sgf29 binds histone H3K4me2/3 and is required for SAGA complex recruitment and histone H3 acetylation. The EMBO Journal. 30(14). 2829–2842. 194 indexed citations
6.
Al‐Khaldi, Sufian F., Magdi M. Mossoba, Tara L. Burke, & Frederick S. Fry. (2009). Differentiation of Whole Bacterial Cells Based on High-Throughput Microarray Chip Printing and Infrared Microspectroscopic Readout. Foodborne Pathogens and Disease. 6(8). 1001–1007. 3 indexed citations
7.
Burke, Tara L., Anthony Harrington, Rosemary Kraemer, et al.. (2005). Neurotrophin Receptor Interacting Factor (NRIF) Is an Essential Mediator of Apoptotic Signaling by the p75 Neurotrophin Receptor. Journal of Biological Chemistry. 280(14). 13801–13808. 57 indexed citations
8.
Burke, Tara L., et al.. (2004). A Functional Interaction between the p75 Neurotrophin Receptor Interacting Factors, TRAF6 and NRIF. Journal of Biological Chemistry. 279(16). 16646–16656. 37 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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