Amanda M. Lanza

672 total citations
13 papers, 497 citations indexed

About

Amanda M. Lanza is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Amanda M. Lanza has authored 13 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Genetics. Recurrent topics in Amanda M. Lanza's work include CRISPR and Genetic Engineering (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Amanda M. Lanza is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Amanda M. Lanza collaborates with scholars based in United States and Germany. Amanda M. Lanza's co-authors include Hal S. Alper, Sang‐Hwal Yoon, Tae Seok Moon, Kristala L. J. Prather, Joseph D. Roy‐Mayhew, Kathleen A. Curran, Do Soon Kim, Kristala Jones Prather, Pooya Iranpour and Nathan Crook and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Analytical Biochemistry.

In The Last Decade

Amanda M. Lanza

13 papers receiving 488 citations

Peers

Amanda M. Lanza
Emerson Zang Germany
Garima Goyal United States
Wesley E. Workman United States
Julian Kopp Austria
Tat‐Ming Lo Singapore
Minghua Dai United States
William L. Muth United States
Irene Kunze Germany
Emerson Zang Germany
Amanda M. Lanza
Citations per year, relative to Amanda M. Lanza Amanda M. Lanza (= 1×) peers Emerson Zang

Countries citing papers authored by Amanda M. Lanza

Since Specialization
Citations

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

Fields of papers citing papers by Amanda M. Lanza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda M. Lanza. 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 Amanda M. Lanza. The network helps show where Amanda M. Lanza may publish in the future.

Co-authorship network of co-authors of Amanda M. Lanza

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

All Works

13 of 13 papers shown
1.
Lanza, Amanda M., et al.. (2014). A condition-specific codon optimization approach for improved heterologous gene expression in Saccharomyces cerevisiae. BMC Systems Biology. 8(1). 33–33. 80 indexed citations
2.
Abu‐Absi, Nicholas R., et al.. (2014). Application of spectroscopic methods for monitoring of bioprocesses and the implications for the manufacture of biologics. 2(3). 267–284. 37 indexed citations
3.
Lanza, Amanda M., Do Soon Kim, & Hal S. Alper. (2013). Evaluating the influence of selection markers on obtaining selected pools and stable cell lines in human cells. Biotechnology Journal. 8(7). 811–821. 38 indexed citations
4.
Lanza, Amanda M., John Blazeck, Nathan Crook, & Hal S. Alper. (2012). Linking Yeast Gcn5p Catalytic Function and Gene Regulation Using a Quantitative, Graded Dominant Mutant Approach. PLoS ONE. 7(4). e36193–e36193. 10 indexed citations
6.
Lanza, Amanda M., Nathan Crook, & Hal S. Alper. (2012). Innovation at the intersection of synthetic and systems biology. Current Opinion in Biotechnology. 23(5). 712–717. 23 indexed citations
7.
Lanza, Amanda M., et al.. (2012). Emerging synthetic biology tools for engineering mammalian cell systems and expediting cell line development. Current Opinion in Chemical Engineering. 1(4). 403–410. 4 indexed citations
8.
Lanza, Amanda M. & Hal S. Alper. (2011). Global Strain Engineering by Mutant Transcription Factors. Methods in molecular biology. 765. 253–274. 24 indexed citations
9.
Lanza, Amanda M. & Hal S. Alper. (2011). Using Transcription Machinery Engineering to Elicit Complex Cellular Phenotypes. Methods in molecular biology. 813. 229–248. 8 indexed citations
10.
Moon, Tae Seok, et al.. (2009). Enzymatic assay of d-glucuronate using uronate dehydrogenase. Analytical Biochemistry. 392(2). 183–185. 13 indexed citations
11.
Moon, Tae Seok, Sang‐Hwal Yoon, Amanda M. Lanza, Joseph D. Roy‐Mayhew, & Kristala L. J. Prather. (2009). Production of Glucaric Acid from a Synthetic Pathway in Recombinant Escherichia coli. Applied and Environmental Microbiology. 75(13). 4660–4660. 4 indexed citations
12.
Moon, Tae Seok, Sang‐Hwal Yoon, Amanda M. Lanza, Joseph D. Roy‐Mayhew, & Kristala L. J. Prather. (2008). Production of Glucaric Acid from a Synthetic Pathway in Recombinant Escherichia coli. Applied and Environmental Microbiology. 75(3). 589–595. 189 indexed citations
13.
Yoon, Sang‐Hwal, Tae Seok Moon, Pooya Iranpour, Amanda M. Lanza, & Kristala Jones Prather. (2008). Cloning and Characterization of Uronate Dehydrogenases from Two Pseudomonads andAgrobacterium tumefaciensStrain C58. Journal of Bacteriology. 191(5). 1565–1573. 49 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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