Brian Burke

17.3k total citations · 5 hit papers
101 papers, 13.2k citations indexed

About

Brian Burke is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Brian Burke has authored 101 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 38 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Brian Burke's work include Nuclear Structure and Function (75 papers), RNA Research and Splicing (57 papers) and Genomics and Chromatin Dynamics (27 papers). Brian Burke is often cited by papers focused on Nuclear Structure and Function (75 papers), RNA Research and Splicing (57 papers) and Genomics and Chromatin Dynamics (27 papers). Brian Burke collaborates with scholars based in United States, Singapore and Canada. Brian Burke's co-authors include Colin L. Stewart, Kyle J. Roux, Dae In Kim, Larry Gerace, Manfred Raida, J. B. Rattner, Melissa Crisp, Catherine M. Shanahan, Teresa Sullivan and Didier Hodzic and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian Burke

95 papers receiving 13.0k citations

Hit Papers

A promiscuous biotin ligase fus... 1988 2026 2000 2013 2012 2005 1999 2008 1988 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Burke United States 49 10.9k 4.5k 718 543 536 101 13.2k
Giorgio Scita Italy 57 5.3k 0.5× 4.8k 1.1× 541 0.8× 360 0.7× 607 1.1× 141 9.8k
Aaron F. Straight United States 45 8.6k 0.8× 4.7k 1.0× 1.2k 1.7× 346 0.6× 296 0.6× 77 10.9k
Gregg G. Gundersen United States 63 8.3k 0.8× 8.3k 1.8× 575 0.8× 263 0.5× 644 1.2× 116 12.9k
Roberto Domínguez United States 50 4.4k 0.4× 3.8k 0.8× 377 0.5× 710 1.3× 339 0.6× 132 8.2k
Ina Poser Germany 50 11.2k 1.0× 3.3k 0.7× 865 1.2× 221 0.4× 463 0.9× 89 13.2k
Arshad Desai United States 70 13.7k 1.3× 11.8k 2.6× 1.1k 1.5× 328 0.6× 353 0.7× 160 16.9k
Anne K. Kenworthy United States 41 5.7k 0.5× 2.4k 0.5× 347 0.5× 1.0k 1.9× 811 1.5× 106 7.8k
Hiroaki Miki Japan 51 5.6k 0.5× 6.0k 1.3× 699 1.0× 485 0.9× 534 1.0× 127 10.6k
Anthony I. Magee United Kingdom 52 7.4k 0.7× 2.7k 0.6× 551 0.8× 234 0.4× 566 1.1× 144 10.3k
Alexander Sorkin United States 60 8.5k 0.8× 4.9k 1.1× 450 0.6× 502 0.9× 805 1.5× 138 11.8k

Countries citing papers authored by Brian Burke

Since Specialization
Citations

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

Fields of papers citing papers by Brian Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Burke. A scholar is included among the top collaborators of Brian 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 Brian Burke. Brian Burke 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
1.
Merigliano, Chiara, Romina Burla, Hsiangling Teo, et al.. (2021). AKTIP interacts with ESCRT I and is needed for the recruitment of ESCRT III subunits to the midbody. PLoS Genetics. 17(8). e1009757–e1009757. 13 indexed citations
4.
Chojnowski, Alexandre, Radoslaw M. Sobota, Peh Fern Ong, et al.. (2018). 2C-BioID: An Advanced Two Component BioID System for Precision Mapping of Protein Interactomes. iScience. 10. 40–52. 31 indexed citations
5.
Sundaram, Gopinath M., Mohsin Bashir, Manish Muhuri, et al.. (2017). EGF hijacks miR-198/FSTL1 wound-healing switch and steers a two-pronged pathway toward metastasis. The Journal of Experimental Medicine. 214(10). 2889–2900. 53 indexed citations
6.
Burke, Brian, Samirkumar R. Patel, Donna Taraborelli, Craig B Struble, & Glenn Noronha. (2017). Targeted delivery of triamcinolone acetonide and CLS011A to the posterior ocular tissues via suprachoroidal administration. Investigative Ophthalmology & Visual Science. 58(8). 4112–4112. 1 indexed citations
7.
Xie, Wei & Brian Burke. (2016). Lamins. Current Biology. 26(9). R348–R350. 15 indexed citations
8.
Edelhauser, Henry F., et al.. (2014). Intraocular Distribution and Targeting of Triamcinolone Acetonide Suspension Administered Into the Suprachoroidal Space. Investigative Ophthalmology & Visual Science. 55(13). 5259–5259. 19 indexed citations
9.
Burke, Brian & Colin L. Stewart. (2012). The nuclear lamins: flexibility in function. Nature Reviews Molecular Cell Biology. 14(1). 13–24. 431 indexed citations
10.
Himes, Katherine P., Daniel Handley, Tianjiao Chu, et al.. (2011). Comprehensive analysis of the transcriptional response of human decidual cells to lipopolysaccharide stimulation. Journal of Reproductive Immunology. 93(1). 17–27. 7 indexed citations
11.
Rajakumar, Augustine, Tianjiao Chu, Kimberly Bunce, et al.. (2010). Maternal gene expression profiling during pregnancy and preeclampsia in human peripheral blood mononuclear cells. Placenta. 32(1). 70–78. 37 indexed citations
12.
Chu, Tianjiao, Brian Burke, Kimberly Bunce, et al.. (2009). A microarray‐based approach for the identification of epigenetic biomarkers for the noninvasive diagnosis of fetal disease. Prenatal Diagnosis. 29(11). 1020–1030. 35 indexed citations
13.
Burke, Brian, et al.. (2009). Sensitivity to seizure-like activity in Drosophila following acute hypoxia and hypercapnia. Brain Research. 1316. 120–128. 8 indexed citations
14.
Han, Xijing, Xiaolan Feng, J. B. Rattner, et al.. (2008). Tethering by lamin A stabilizes and targets the ING1 tumour suppressor. Nature Cell Biology. 10(11). 1333–1340. 71 indexed citations
15.
Redondo, C, Brian Burke, & Jeremy Findlay. (2006). The Retinol-binding Protein System: A Potential Paradigm for Steroid-binding Globulins?. Hormone and Metabolic Research. 38(4). 269–278. 11 indexed citations
16.
Roux, Kyle J. & Brian Burke. (2006). Nuclear envelope defects in muscular dystrophy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1772(2). 118–127. 22 indexed citations
17.
Crisp, Melissa, Qian Liu, Kyle J. Roux, et al.. (2005). Coupling of the nucleus and cytoplasm: Role of the LINC complex. The Journal of Cell Biology. 172(1). 41–53. 1060 indexed citations breakdown →
18.
Burke, Brian & Colin L. Stewart. (2002). Life at the edge: the nuclear envelope and human disease. Nature Reviews Molecular Cell Biology. 3(8). 575–585. 345 indexed citations
19.
Enarson, Paul, et al.. (1998). Amino-terminal sequences that direct nucleoporin Nup153 to the inner surface of the nuclear envelope. Chromosoma. 107(4). 228–236. 42 indexed citations
20.
Kaiko, Robert F., David P. Benziger, Ronald D. Fitzmartin, et al.. (1996). Pharmacokinetic-pharmacodynamic relationships of controlled-release oxycodone*. Clinical Pharmacology & Therapeutics. 59(1). 52–61. 140 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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