Abigail R. Lambert

1.5k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Abigail R. Lambert is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Abigail R. Lambert has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Ecology. Recurrent topics in Abigail R. Lambert's work include CRISPR and Genetic Engineering (11 papers), RNA and protein synthesis mechanisms (9 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Abigail R. Lambert is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), RNA and protein synthesis mechanisms (9 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Abigail R. Lambert collaborates with scholars based in United States, South Africa and Canada. Abigail R. Lambert's co-authors include David Baker, Barry Stoddard, Donald Hilvert, K. N. Houk, Helena M. Lovick, Michael H. Gelb, Jasmine L. Gallaher, Justin B. Siegel, Alexandre Zanghellini and Gert Kiss and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Abigail R. Lambert

16 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Computational Design of an Enzyme Catalyst for a Stereoselective Bimolecular Diels-Alder Reaction

2010 692 citations Justin B. Siegel, Alexandre Zanghellini et al. Science profile →

Peers

Abigail R. Lambert

GENET

Ioanna Ntai United States

J.P. Bacik United States

Alexandre Ambrogelly United States

Burckhard Seelig United States

Velin Z. Spassov Bulgaria

Eric Hébert France

Brent M. Dorr United States

Birgit Wiltschi Austria

Chunyang Cao China

Bruce A. Beutel United States

Ioanna Ntai United States

Abigail R. Lambert

1.3k ×1.4

81 ×0.5

239 ×1.6

157 ×1.0

GENET

132 ×1.0

Citations per year, relative to Abigail R. Lambert Abigail R. Lambert (= 1×) peers Ioanna Ntai

Countries citing papers authored by Abigail R. Lambert

Since Specialization

Citations

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

Fields of papers citing papers by Abigail R. Lambert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abigail R. Lambert

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

All Works

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16 of 16 papers shown

Luyten, Yvette A., Lindsey Doyle, Abigail R. Lambert, et al.. (2022). Identification and characterization of the WYL BrxR protein and its gene as separable regulatory elements of a BREX phage restriction system. Nucleic Acids Research. 50(9). 5171–5190. 29 indexed citations

Lambert, Abigail R., et al.. (2020). Optimization of Protein Thermostability and Exploitation of Recognition Behavior to Engineer Altered Protein-DNA Recognition. Structure. 28(7). 760–775.e8. 7 indexed citations

Moffett, Howell, Michael Coon, Stefan Radtke, et al.. (2017). Hit-and-run programming of therapeutic cytoreagents using mRNA nanocarriers. Nature Communications. 8(1). 389–389. 147 indexed citations

Lambert, Abigail R., Kyle Havens, Mark Pogson, et al.. (2017). Crystallographic analyses illustrate significant plasticity and efficient recoding of meganuclease target specificity. Nucleic Acids Research. 45(14). 8621–8634. 11 indexed citations

Niyonzima, Nixon, Abigail R. Lambert, Pavitra Roychoudhury, et al.. (2017). Tuning DNA binding affinity and cleavage specificity of an engineered gene-targeting nuclease via surface display, flow cytometry and cellular analyses. Protein Engineering Design and Selection. 30(7). 503–522. 1 indexed citations

Jacoby, Kyle, Abigail R. Lambert, & Andrew M. Scharenberg. (2016). Characterization of homing endonuclease binding and cleavage specificities using yeast surface display SELEX (YSD-SELEX). Nucleic Acids Research. 45(3). gkw864–gkw864. 6 indexed citations

Lambert, Abigail R., Betty Shen, Jill M. Bolduc, et al.. (2016). Indirect DNA Sequence Recognition and Its Impact on Nuclease Cleavage Activity. Structure. 24(6). 862–873. 21 indexed citations

Shen, Betty, et al.. (2015). The Structural Basis of Asymmetry in DNA Binding and Cleavage as Exhibited by the I-SmaMI LAGLIDADG Meganuclease. Journal of Molecular Biology. 428(1). 206–220. 4 indexed citations

Baxter, Sarah K., Andrew M. Scharenberg, & Abigail R. Lambert. (2014). Engineering and Flow-Cytometric Analysis of Chimeric LAGLIDADG Homing Endonucleases from Homologous I-OnuI-Family Enzymes. Methods in molecular biology. 1123. 191–221. 5 indexed citations

10.

Baxter, Sarah K., Abigail R. Lambert, Andrew M. Scharenberg, & Jordan Jarjour. (2013). Flow Cytometric Assays for Interrogating LAGLIDADG Homing Endonuclease DNA-Binding and Cleavage Properties. Methods in molecular biology. 978. 45–61. 12 indexed citations

11.

Certo, Michael T., Kamila Gwiazda, Blythe Sather, et al.. (2012). Coupling endonucleases with DNA end–processing enzymes to drive gene disruption. Nature Methods. 9(10). 973–975. 73 indexed citations

12.

Baxter, Sarah K., Abigail R. Lambert, Jordan Jarjour, et al.. (2012). Engineering domain fusion chimeras from I-OnuI family LAGLIDADG homing endonucleases. Nucleic Acids Research. 40(16). 7985–8000. 27 indexed citations

13.

Takeuchi, Ryo, Abigail R. Lambert, Amanda Nga-Sze Mak, et al.. (2011). Tapping natural reservoirs of homing endonucleases for targeted gene modification. Proceedings of the National Academy of Sciences. 108(32). 13077–13082. 80 indexed citations

14.

Siegel, Justin B., Alexandre Zanghellini, Helena M. Lovick, et al.. (2010). Computational Design of an Enzyme Catalyst for a Stereoselective Bimolecular Diels-Alder Reaction. Science. 329(5989). 309–313. 692 indexed citations breakdown →

15.

Mak, Amanda Nga-Sze, Abigail R. Lambert, & Barry Stoddard. (2010). Folding, DNA Recognition, and Function of GIY-YIG Endonucleases: Crystal Structures of R.Eco29kI. Structure. 18(10). 1321–1331. 38 indexed citations

16.

Lambert, Abigail R., Django Sussman, Betty Shen, et al.. (2008). Structures of the Rare-Cutting Restriction Endonuclease NotI Reveal a Unique Metal Binding Fold Involved in DNA Binding. Structure. 16(4). 558–569. 28 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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