Matthew C. LaFave

2.4k total citations
22 papers, 1.4k citations indexed

About

Matthew C. LaFave is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Matthew C. LaFave has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Cell Biology. Recurrent topics in Matthew C. LaFave's work include CRISPR and Genetic Engineering (12 papers), Virus-based gene therapy research (4 papers) and Zebrafish Biomedical Research Applications (4 papers). Matthew C. LaFave is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), Virus-based gene therapy research (4 papers) and Zebrafish Biomedical Research Applications (4 papers). Matthew C. LaFave collaborates with scholars based in United States, Singapore and United Kingdom. Matthew C. LaFave's co-authors include Shawn M. Burgess, Gaurav K. Varshney, Charles P. Venditti, Randy J. Chandler, Mingyu Li, Johan Ledin, Raman Sood, Jeff Sekelsky, Victoria Hoffmann and Abdel Elkahloun and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Bioinformatics.

In The Last Decade

Matthew C. LaFave

21 papers receiving 1.4k citations

Peers

Matthew C. LaFave

GENET

ONCOL

CMN

Carmel Toomes United Kingdom

Jason R. Willer United States

Haruhiko Miyata Japan

Ian J. Donaldson United Kingdom

C. H. Alvin Hong Kong

Alexey Veraksa United States

Gaurav K. Varshney United States

Sara Powell United States

Kornel Labun Norway

Tim Mohun United Kingdom

Carmel Toomes United Kingdom

Matthew C. LaFave

1.8k ×1.7

741 ×1.4

GENET

349 ×1.1

141 ×1.2

ONCOL

122 ×1.3

CMN

Citations per year, relative to Matthew C. LaFave Matthew C. LaFave (= 1×) peers Carmel Toomes

Countries citing papers authored by Matthew C. LaFave

Since Specialization

Citations

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

Fields of papers citing papers by Matthew C. LaFave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. LaFave. 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 Matthew C. LaFave. The network helps show where Matthew C. LaFave may publish in the future.

Co-authorship network of co-authors of Matthew C. LaFave

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

All Works

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20 of 20 papers shown

LaFave, Matthew C. & Jeff Sekelsky. (2020). Transcription Initiation From Within P Elements Generates Hypomorphic Mutations in Drosophila melanogaster. UNC Libraries.

Varshney, Gaurav K., Blake Carrington, Wuhong Pei, et al.. (2016). A high-throughput functional genomics workflow based on CRISPR/Cas9-mediated targeted mutagenesis in zebrafish. Nature Protocols. 11(12). 2357–2375. 144 indexed citations

Chandler, Randy J., Matthew C. LaFave, Gaurav K. Varshney, Shawn M. Burgess, & Charles P. Venditti. (2016). Genotoxicity in Mice Following AAV Gene Delivery: A Safety Concern for Human Gene Therapy?. Molecular Therapy. 24(2). 198–201. 52 indexed citations

Vrljicak, Pavle, et al.. (2016). Genome-Wide Analysis of Transposon and Retroviral Insertions Reveals Preferential Integrations in Regions of DNA Flexibility. G3 Genes Genomes Genetics. 6(4). 805–817. 15 indexed citations

Varshney, Gaurav K., Matthew C. LaFave, Mingyu Li, et al.. (2015). High-throughput gene targeting and phenotyping in zebrafish using CRISPR/Cas9. Genome Research. 25(7). 1030–1042. 368 indexed citations

Marquart, Gregory D., Kathryn M. Tabor, Mary E. Brown, et al.. (2015). A 3D Searchable Database of Transgenic Zebrafish Gal4 and Cre Lines for Functional Neuroanatomy Studies. Frontiers in Neural Circuits. 9. 78–78. 93 indexed citations

Seiler, Christoph, Yong Zhang, Susan A. Shinton, et al.. (2015). Mutagenesis Screen Identifies agtpbp1 and eps15L1 as Essential for T lymphocyte Development in Zebrafish. PLoS ONE. 10(7). e0131908–e0131908. 13 indexed citations

Chandler, Randy J., Matthew C. LaFave, Gaurav K. Varshney, et al.. (2015). Vector design influences hepatic genotoxicity after adeno-associated virus gene therapy. Journal of Clinical Investigation. 125(2). 870–880. 293 indexed citations

Vrljicak, Pavle, Hua Ruan, Gaurav K. Varshney, et al.. (2015). A Multifunctional Mutagenesis System for Analysis of Gene Function in Zebrafish. G3 Genes Genomes Genetics. 5(6). 1283–1299. 15 indexed citations

10.

LaFave, Matthew C., Gaurav K. Varshney, & Shawn M. Burgess. (2015). GeIST: a pipeline for mapping integrated DNA elements. Bioinformatics. 31(19). 3219–3221. 6 indexed citations

11.

LaFave, Matthew C.. (2014). Detection and Analysis of Common Fragile Sites in Drosophila melanogaster. Figshare. 1 indexed citations

12.

Renaud, Gabriel, Matthew C. LaFave, Liang Jin, Tyra G. Wolfsberg, & Shawn M. Burgess. (2014). trieFinder: an efficient program for annotating Digital Gene Expression (DGE) tags. BMC Bioinformatics. 15(1). 329–329. 1 indexed citations

13.

Walia, Jagdeep S., Alexander Bello, Matthew C. LaFave, et al.. (2014). Long-Term Correction of Sandhoff Disease Following Intravenous Delivery of rAAV9 to Mouse Neonates. Molecular Therapy. 23(3). 414–422. 67 indexed citations

14.

LaFave, Matthew C., Gaurav K. Varshney, Derek Gildea, et al.. (2014). MLV integration site selection is driven by strong enhancers and active promoters. Nucleic Acids Research. 42(7). 4257–4269. 83 indexed citations

15.

LaFave, Matthew C. & Shawn M. Burgess. (2014). sam2pairwise version 1.0.0. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

16.

LaFave, Matthew C., et al.. (2013). Sources and Structures of Mitotic Crossovers That Arise When BLM Helicase Is Absent inDrosophila. Genetics. 196(1). 107–118. 12 indexed citations

17.

LaFave, Matthew C. & Jeff Sekelsky. (2011). Transcription Initiation From Within P Elements Generates Hypomorphic Mutations in Drosophila melanogaster. Genetics. 188(3). 749–752. 13 indexed citations

18.

LaFave, Matthew C., et al.. (2009). DNA damage responses in Drosophila nbs mutants with reduced or altered NBS function. DNA repair. 8(7). 803–812. 7 indexed citations

19.

LaFave, Matthew C. & Jeff Sekelsky. (2009). Mitotic Recombination: Why? When? How? Where?. PLoS Genetics. 5(3). e1000411–e1000411. 33 indexed citations

20.

Burket, Christopher T., Jacob E. Montgomery, Ryan Thummel, et al.. (2007). Generation and characterization of transgenic zebrafish lines using different ubiquitous promoters. Transgenic Research. 17(2). 265–279. 37 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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