Brian R. Fritz

10.1k total citations · 1 hit paper
18 papers, 7.9k citations indexed

About

Brian R. Fritz is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Brian R. Fritz has authored 18 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Brian R. Fritz's work include RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (8 papers) and Bacterial Genetics and Biotechnology (5 papers). Brian R. Fritz is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (8 papers) and Bacterial Genetics and Biotechnology (5 papers). Brian R. Fritz collaborates with scholars based in United States, United Kingdom and South Korea. Brian R. Fritz's co-authors include Muneesh Tewari, Rachael K. Parkin, Stacia K. Wyman, Patrick S. Mitchell, Evan M. Kroh, Daniel W. Lin, Kathy O'Briant, Beatrice S. Knudsen, Charles W. Drescher and Nicole Urban and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Brian R. Fritz

18 papers receiving 7.7k citations

Hit Papers

Circulating microRNAs as stable blood-based markers for c... 2008 2026 2014 2020 2008 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian R. Fritz United States 15 6.5k 6.0k 365 352 336 18 7.9k
Rachael K. Parkin United States 10 7.2k 1.1× 7.0k 1.2× 456 1.2× 432 1.2× 392 1.2× 12 8.7k
Daniel Martin United States 12 6.8k 1.0× 5.4k 0.9× 525 1.4× 496 1.4× 386 1.1× 14 8.4k
Jennifer Noteboom United States 10 5.5k 0.8× 5.3k 0.9× 360 1.0× 353 1.0× 366 1.1× 15 7.0k
Era L. Pogosova‐Agadjanyan United States 17 9.0k 1.4× 8.1k 1.4× 673 1.8× 503 1.4× 438 1.3× 35 11.0k
Jason D. Arroyo United States 14 4.7k 0.7× 3.6k 0.6× 406 1.1× 454 1.3× 191 0.6× 15 5.6k
Kathy O'Briant United States 23 6.3k 1.0× 5.8k 1.0× 668 1.8× 714 2.0× 424 1.3× 39 8.3k
Evan M. Kroh United States 9 9.9k 1.5× 9.7k 1.6× 625 1.7× 557 1.6× 524 1.6× 9 12.0k
Rajesha Rupaimoole United States 23 4.5k 0.7× 3.8k 0.6× 621 1.7× 731 2.1× 270 0.8× 41 6.0k
William R. Jeck United States 20 6.9k 1.1× 5.6k 0.9× 262 0.7× 299 0.8× 233 0.7× 42 7.8k
Rosa Visone Italy 28 8.3k 1.3× 8.0k 1.3× 563 1.5× 665 1.9× 356 1.1× 45 10.0k

Countries citing papers authored by Brian R. Fritz

Since Specialization
Citations

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

Fields of papers citing papers by Brian R. Fritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian R. Fritz

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

All Works

18 of 18 papers shown
1.
Bicknell, Alicia A., Adriana K. Jones, Yi Cheng, et al.. (2024). Attenuating ribosome load improves protein output from mRNA by limiting translation-dependent mRNA decay. Cell Reports. 43(4). 114098–114098. 28 indexed citations
2.
Hammerling, Michael J., et al.. (2020). In vitro ribosome synthesis and evolution through ribosome display. Nature Communications. 11(1). 1108–1108. 60 indexed citations
3.
Fritz, Brian R.. (2017). High-Definition Immunology. Genetic Engineering & Biotechnology News. 37(12). 10, 13–10, 13. 1 indexed citations
4.
Fritz, Brian R., et al.. (2015). Implications of macromolecular crowding and reducing conditions for in vitro ribosome construction. Nucleic Acids Research. 43(9). 4774–4784. 40 indexed citations
5.
Fritz, Brian R. & Michael C. Jewett. (2014). The impact of transcriptional tuning on in vitro integrated rRNA transcription and ribosome construction. Nucleic Acids Research. 42(10). 6774–6785. 44 indexed citations
6.
Liu, Yi, et al.. (2014). Characterizing and Alleviating Substrate Limitations for Improved in vitro Ribosome Construction. ACS Synthetic Biology. 4(4). 454–462. 28 indexed citations
7.
Jewett, Michael C., et al.. (2013). In vitro integration of ribosomal RNA synthesis, ribosome assembly, and translation. Molecular Systems Biology. 9(1). 678–678. 132 indexed citations
8.
Wyman, Stacia K., Emily C. Knouf, Rachael K. Parkin, et al.. (2011). Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity. Genome Research. 21(9). 1450–1461. 234 indexed citations
9.
Sheets, Michael, Brian R. Fritz, Rebecca S. Hartley, & Ying E. Zhang. (2010). Polyribosome analysis for investigating mRNA translation in Xenopus oocytes, eggs and embryos. Methods. 51(1). 152–156. 5 indexed citations
10.
Fritz, Brian R., et al.. (2010). Biology by Design: From Top to Bottom and Back. SHILAP Revista de lepidopterología. 2010. 1–11. 26 indexed citations
11.
Wyman, Stacia K., Rachael K. Parkin, Patrick S. Mitchell, et al.. (2009). Repertoire of microRNAs in Epithelial Ovarian Cancer as Determined by Next Generation Sequencing of Small RNA cDNA Libraries. PLoS ONE. 4(4). e5311–e5311. 193 indexed citations
12.
Zhang, Yan, et al.. (2009). Spatially Restricted Translation of the xCR1 mRNA in Xenopus Embryos. Molecular and Cellular Biology. 29(13). 3791–3802. 18 indexed citations
13.
Mitchell, Patrick S., Rachael K. Parkin, Evan M. Kroh, et al.. (2008). Circulating microRNAs as stable blood-based markers for cancer detection. Proceedings of the National Academy of Sciences. 105(30). 10513–10518. 6512 indexed citations breakdown →
14.
Grady, William M., Rachael K. Parkin, Patrick S. Mitchell, et al.. (2008). Epigenetic silencing of the intronic microRNA hsa-miR-342 and its host gene EVL in colorectal cancer. Oncogene. 27(27). 3880–3888. 233 indexed citations
15.
Bar, Merav, Stacia K. Wyman, Brian R. Fritz, et al.. (2008). MicroRNA Discovery and Profiling in Human Embryonic Stem Cells by Deep Sequencing of Small RNA Libraries. Stem Cells. 26(10). 2496–2505. 247 indexed citations
16.
Audic, Yann, et al.. (2002). Zygotic control of maternal cyclin A1 translation and mRNA stability. Developmental Dynamics. 225(4). 511–521. 19 indexed citations
17.
Fritz, Brian R. & Gregory Raczniak. (2002). Bacterial Genomics. BioDrugs. 16(5). 331–337. 11 indexed citations
18.
Fritz, Brian R. & Michael Sheets. (2001). Regulation of the mRNAs Encoding Proteins of the BMP Signaling Pathway during the Maternal Stages of Xenopus Development. Developmental Biology. 236(1). 230–243. 27 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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