Troy Brady

3.8k total citations · 1 hit paper
17 papers, 1.9k citations indexed

About

Troy Brady is a scholar working on Molecular Biology, Virology and Genetics. According to data from OpenAlex, Troy Brady has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Virology and 6 papers in Genetics. Recurrent topics in Troy Brady's work include CRISPR and Genetic Engineering (8 papers), HIV Research and Treatment (6 papers) and Virus-based gene therapy research (5 papers). Troy Brady is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), HIV Research and Treatment (6 papers) and Virus-based gene therapy research (5 papers). Troy Brady collaborates with scholars based in United States, United Kingdom and France. Troy Brady's co-authors include Frederic D. Bushman, Nirav Malani, Charles C. Berry, Shoshannah L. Roth, Karen E. Ocwieja, Greg J. Towers, Torsten Schaller, Leo C. James, Una O’Doherty and Luis M. Agosto 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

Troy Brady

17 papers receiving 1.9k citations

Hit Papers

Decade-Long Safety and Function of Retroviral-Modified Ch... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Troy Brady United States 15 1.1k 797 534 492 486 17 1.9k
Petr O. Ilyinskii United States 21 483 0.5× 470 0.6× 277 0.5× 227 0.5× 322 0.7× 38 1.4k
Timothy Lockey United States 21 595 0.6× 327 0.4× 337 0.6× 653 1.3× 153 0.3× 47 1.6k
Saw See Hong France 27 1.1k 1.0× 391 0.5× 1.0k 2.0× 481 1.0× 554 1.1× 46 1.9k
Caroline Staib Germany 20 483 0.5× 604 0.8× 339 0.6× 263 0.5× 182 0.4× 32 1.7k
Shuliang Chen China 19 1.0k 0.9× 263 0.3× 217 0.4× 164 0.3× 219 0.5× 33 1.4k
Christian L. Boutwell United States 13 507 0.5× 395 0.5× 236 0.4× 182 0.4× 246 0.5× 18 1.0k
Martin Schleef Germany 24 1.4k 1.3× 80 0.1× 724 1.4× 321 0.7× 238 0.5× 60 2.0k
Francesca Di Nunzio France 21 1.1k 1.1× 1.0k 1.3× 340 0.6× 65 0.1× 650 1.3× 39 2.0k
Phonphimon Wongthida United States 21 710 0.7× 317 0.4× 1.2k 2.2× 866 1.8× 475 1.0× 31 1.8k
Tatjana I. Cornu Germany 23 1.1k 1.0× 83 0.1× 667 1.2× 247 0.5× 393 0.8× 34 1.8k

Countries citing papers authored by Troy Brady

Since Specialization
Citations

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

Fields of papers citing papers by Troy Brady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Troy Brady

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

All Works

17 of 17 papers shown
1.
Gupta, Kushol, Troy Brady, Nirav Malani, et al.. (2014). Allosteric Inhibition of Human Immunodeficiency Virus Integrase. Journal of Biological Chemistry. 289(30). 20477–20488. 66 indexed citations
2.
Li, Xianghong, Erin R. Burnight, Ashley L. Cooney, et al.. (2013). piggyBac transposase tools for genome engineering. Proceedings of the National Academy of Sciences. 110(25). E2279–87. 156 indexed citations
3.
Brady, Troy, Brendan J. Kelly, Frances Male, et al.. (2013). Quantitation of HIV DNA integration: Effects of differential integration site distributions on Alu-PCR assays. Journal of Virological Methods. 189(1). 53–57. 22 indexed citations
4.
Li, Zhong, Nirav Malani, Mengxin Li, et al.. (2013). Recombinant Adeno-Associated Virus Integration Sites in Murine Liver After Ornithine Transcarbamylase Gene Correction. Human Gene Therapy. 24(5). 520–525. 36 indexed citations
5.
Pace, Matthew, Erin H. Graf, Luis M. Agosto, et al.. (2012). Directly Infected Resting CD4+T Cells Can Produce HIV Gag without Spreading Infection in a Model of HIV Latency. PLoS Pathogens. 8(7). e1002818–e1002818. 115 indexed citations
6.
Scholler, John, Troy Brady, Gwendolyn Binder-Scholl, et al.. (2012). Decade-Long Safety and Function of Retroviral-Modified Chimeric Antigen Receptor T Cells. Science Translational Medicine. 4(132). 132ra53–132ra53. 502 indexed citations breakdown →
7.
Ronen, Keshet, Olivier Nègre, Nirav Malani, et al.. (2011). Distribution of Lentiviral Vector Integration Sites in Mice Following Therapeutic Gene Transfer to Treat β-thalassemia. Molecular Therapy. 19(7). 1273–1286. 55 indexed citations
8.
Brady, Troy, Shoshannah L. Roth, Nirav Malani, et al.. (2011). A method to sequence and quantify DNA integration for monitoring outcome in gene therapy. Nucleic Acids Research. 39(11). e72–e72. 55 indexed citations
9.
Ocwieja, Karen E., Troy Brady, Keshet Ronen, et al.. (2011). HIV Integration Targeting: A Pathway Involving Transportin-3 and the Nuclear Pore Protein RanBP2. PLoS Pathogens. 7(3). e1001313–e1001313. 177 indexed citations
10.
Schaller, Torsten, Karen E. Ocwieja, Jane Rasaiyaah, et al.. (2011). HIV-1 Capsid-Cyclophilin Interactions Determine Nuclear Import Pathway, Integration Targeting and Replication Efficiency. PLoS Pathogens. 7(12). e1002439–e1002439. 375 indexed citations
11.
Brady, Troy, Young Nam Lee, Keshet Ronen, et al.. (2009). Integration target site selection by a resurrected human endogenous retrovirus. Genes & Development. 23(5). 633–642. 89 indexed citations
12.
Brady, Troy, Luis M. Agosto, Nirav Malani, et al.. (2009). HIV integration site distributions in resting and activated CD4 + T cells infected in culture. AIDS. 23(12). 1461–1471. 121 indexed citations
13.
Brady, Troy, Clarice Schmidt, & Daniel F. Voytas. (2008). Targeting Integration of the Saccharomyces Ty5 Retrotransposon. Methods in molecular biology. 435. 153–163. 18 indexed citations
14.
Ciuffi, Angela, Keshet Ronen, Troy Brady, et al.. (2008). Methods for integration site distribution analyses in animal cell genomes. Methods. 47(4). 261–268. 36 indexed citations
15.
Dai, Junbiao, et al.. (2007). Phosphorylation Regulates Integration of the Yeast Ty5 Retrotransposon into Heterochromatin. Molecular Cell. 27(2). 289–299. 57 indexed citations
16.
Brady, Troy, Peter G. Fuerst, Robert A. Dick, Clarice Schmidt, & Daniel F. Voytas. (2007). Retrotransposon Target Site Selection by Imitation of a Cellular Protein. Molecular and Cellular Biology. 28(4). 1230–1239. 14 indexed citations
17.
Brady, Troy, et al.. (1988). Double labeling of SIgG+ cells harboring a lymphotropic herpesvirus by avidin-biotin complex immunoperoxidase and immunogold-silver staining techniques.. Journal of Histochemistry & Cytochemistry. 36(9). 1187–1189. 2 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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