Amber Beaudry

811 total citations
11 papers, 625 citations indexed

About

Amber Beaudry is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Amber Beaudry has authored 11 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Ecology. Recurrent topics in Amber Beaudry's work include RNA and protein synthesis mechanisms (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and DNA and Nucleic Acid Chemistry (3 papers). Amber Beaudry is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and DNA and Nucleic Acid Chemistry (3 papers). Amber Beaudry collaborates with scholars based in United States and Japan. Amber Beaudry's co-authors include Gerald F. Joyce, Ying Huang, Rui Sousa, David J. Schneider, Jeffrey W.-D. Foy, James D. Thompson, Douglas J. Kornbrust, Thale C. Jarvis, Alex B. Burgin and Leonid Beigelman and has published in prestigious journals such as Science, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Amber Beaudry

10 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amber Beaudry United States 10 566 113 77 63 42 11 625
Jared W. Ellefson United States 14 504 0.9× 158 1.4× 69 0.9× 27 0.4× 50 1.2× 18 594
Andreas Jenne Germany 10 409 0.7× 38 0.3× 46 0.6× 16 0.3× 31 0.7× 14 466
Mark Rustad United States 6 389 0.7× 68 0.6× 130 1.7× 16 0.3× 63 1.5× 6 461
J.F. Sydow Germany 7 916 1.6× 153 1.4× 56 0.7× 6 0.1× 83 2.0× 9 989
Nicole M. Nichols United States 12 351 0.6× 53 0.5× 36 0.5× 11 0.2× 29 0.7× 25 428
Ulrich F. Müller United States 15 665 1.2× 133 1.2× 35 0.5× 177 2.8× 7 0.2× 37 722
Mathias Brännvall Sweden 14 617 1.1× 199 1.8× 102 1.3× 3 0.0× 11 0.3× 14 677
Naoto Nemoto Japan 16 636 1.1× 38 0.3× 79 1.0× 12 0.2× 403 9.6× 62 763
Kevin S. Keating United States 15 1.2k 2.1× 98 0.9× 122 1.6× 8 0.1× 3 0.1× 21 1.3k
James Zawada United States 8 614 1.1× 93 0.8× 128 1.7× 5 0.1× 223 5.3× 10 685

Countries citing papers authored by Amber Beaudry

Since Specialization
Citations

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

Fields of papers citing papers by Amber Beaudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Beaudry

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

All Works

11 of 11 papers shown
1.
Kornbrust, Douglas J., et al.. (2014). Toxicological and Pharmacokinetic Properties of QPI-1007, a Chemically Modified Synthetic siRNA Targeting Caspase 2 mRNA, Following Intravitreal Injection. Nucleic Acid Therapeutics. 24(4). 258–266. 68 indexed citations
2.
Gill, Stanley C., Christopher M. Rubino, Paul G. Ambrose, et al.. (2010). Pharmacokinetic-Pharmacodynamic Assessment of Faropenem in a Lethal Murine Bacillus anthracis Inhalation Postexposure Prophylaxis Model. Antimicrobial Agents and Chemotherapy. 54(5). 1678–1683. 11 indexed citations
3.
Jarvis, Thale C., Amber Beaudry, James M. Bullard, et al.. (2005). Discovery and Characterization of the Cryptic Ψ Subunit of the Pseudomonad DNA Replicase. Journal of Biological Chemistry. 280(49). 40465–40473. 13 indexed citations
4.
Jarvis, Thale C., Amber Beaudry, James M. Bullard, Nebojša Janjić, & Charles S. McHenry. (2004). Reconstitution of a Minimal DNA Replicase from Pseudomonas aeruginosa and Stimulation by Non-cognate Auxiliary Factors. Journal of Biological Chemistry. 280(9). 7890–7900. 12 indexed citations
5.
Beaudry, Amber & James A. McSwiggen. (2003). Quantitation of Ribozyme Target Abundance by QCPCR. Humana Press eBooks. 74. 325–340.
6.
Zinnen, Shawn, Mike Wilson, Brent Dickinson, et al.. (2002). Selection, design, and characterization of a new potentially therapeutic ribozyme. RNA. 8(2). 214–228. 26 indexed citations
7.
Beaudry, Amber, et al.. (2000). In vitro selection of a novel nuclease-resistant RNA phosphodiesterase. Chemistry & Biology. 7(5). 323–334. 19 indexed citations
9.
Jarvis, Thale C., L. J. Alby, Amber Beaudry, et al.. (1996). Inhibition of vascular smooth muscle cell proliferation by ribozymes that cleave c-myb mRNA.. PubMed. 2(5). 419–28. 47 indexed citations
10.
Beaudry, Amber & Gerald F. Joyce. (1992). Directed Evolution of an RNA Enzyme. Science. 257(5070). 635–641. 328 indexed citations
11.
Beaudry, Amber & Gerald F. Joyce. (1990). Minimum secondary structure requirements for catalytic activity of a self-splicing group I intron. Biochemistry. 29(27). 6534–6539. 53 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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