Marilynn A. Larson

1.2k total citations
38 papers, 875 citations indexed

About

Marilynn A. Larson is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Marilynn A. Larson has authored 38 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Genetics and 10 papers in Ecology. Recurrent topics in Marilynn A. Larson's work include Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (10 papers) and DNA Repair Mechanisms (8 papers). Marilynn A. Larson is often cited by papers focused on Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (10 papers) and DNA Repair Mechanisms (8 papers). Marilynn A. Larson collaborates with scholars based in United States, United Kingdom and Canada. Marilynn A. Larson's co-authors include Thomas L. McDonald, Annika Weber, Steven H. Hinrichs, David R. Mack, Mark A. Griep, Shu Wei, Scott A. Koepsell, Mark Morrison, R.J. Grant and Panos Soultanas and has published in prestigious journals such as Nucleic Acids Research, Gastroenterology and PLoS ONE.

In The Last Decade

Marilynn A. Larson

37 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marilynn A. Larson United States 16 428 217 184 179 114 38 875
Céline Ster Canada 16 226 0.5× 133 0.6× 84 0.5× 373 2.1× 109 1.0× 24 830
Ryan J. Arsenault United States 23 647 1.5× 106 0.5× 142 0.8× 51 0.3× 76 0.7× 67 1.6k
Aloka B. Bandara United States 14 407 1.0× 79 0.4× 80 0.4× 63 0.4× 70 0.6× 30 757
Mickaël Blaise France 26 744 1.7× 144 0.7× 154 0.8× 226 1.3× 18 0.2× 59 2.0k
Vivek Kumar Gupta India 19 233 0.5× 90 0.4× 252 1.4× 176 1.0× 15 0.1× 80 956
J.A.C.M. Lohuis Netherlands 18 146 0.3× 268 1.2× 309 1.7× 957 5.3× 93 0.8× 28 1.3k
Matthew J. Sylte United States 19 364 0.9× 36 0.2× 64 0.3× 178 1.0× 64 0.6× 40 1.2k
Yoshikazu Hirota Japan 17 180 0.4× 86 0.4× 77 0.4× 21 0.1× 49 0.4× 63 855
Tadafumi S. Tochikura Japan 21 504 1.2× 135 0.6× 15 0.1× 132 0.7× 48 0.4× 50 1.3k
Christophe Gitton France 17 485 1.1× 172 0.8× 20 0.1× 120 0.7× 94 0.8× 21 847

Countries citing papers authored by Marilynn A. Larson

Since Specialization
Citations

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

Fields of papers citing papers by Marilynn A. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marilynn A. Larson. 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 Marilynn A. Larson. The network helps show where Marilynn A. Larson may publish in the future.

Co-authorship network of co-authors of Marilynn A. Larson

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

All Works

20 of 20 papers shown
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Schopfer, Lawrence M., et al.. (2024). Polyaminated, acetylated and stop codon readthrough of recombinant Francisella tularensis universal stress protein in Escherichia coli. PLoS ONE. 19(4). e0299701–e0299701. 1 indexed citations
3.
Puniya, Bhanwar Lal, et al.. (2022). Arginine Catabolism and Polyamine Biosynthesis Pathway Disparities Within Francisella tularensis Subpopulations. Frontiers in Microbiology. 13. 890856–890856. 1 indexed citations
4.
Sambol, Anthony R., et al.. (2018). Oligomerization of bacterially expressed H1N1 recombinant hemagglutinin contributes to protection against viral challenge. Scientific Reports. 8(1). 11856–11856. 6 indexed citations
5.
Friggen, Annemieke H., Marilynn A. Larson, Keith A. Spriggs, et al.. (2016). Primase is required for helicase activity and helicase alters the specificity of primase in the enteropathogen Clostridium difficile. Open Biology. 6(12). 160272–160272. 12 indexed citations
6.
Larson, Marilynn A., Ufuk Nalbantoğlu, Khalid Sayood, et al.. (2015). Francisella tularensis Subtype A.II Genomic Plasticity in Comparison with Subtype A.I. PLoS ONE. 10(4). e0124906–e0124906. 7 indexed citations
7.
Chatelier, Emmanuelle Le, Marilynn A. Larson, Hamid Reza Nouri, et al.. (2013). Functional interplay of DnaE polymerase, DnaG primase and DnaC helicase within a ternary complex, and primase to polymerase hand-off during lagging strand DNA replication in Bacillus subtilis. Nucleic Acids Research. 41(10). 5303–5320. 27 indexed citations
8.
Larson, Marilynn A., Paul D. Fey, Peter C. Iwen, et al.. (2011). Francisella tularensis Molecular Typing Using Differential Insertion Sequence Amplification. Journal of Clinical Microbiology. 49(8). 2786–2797. 11 indexed citations
9.
Larson, Marilynn A., et al.. (2010). Class-specific restrictions define primase interactions with DNA template and replicative helicase. Nucleic Acids Research. 38(20). 7167–7178. 13 indexed citations
10.
11.
Machón, Cristina, Anna Haroniti, Marilynn A. Larson, et al.. (2009). Allosteric regulation of the primase (DnaG) activity by the clamp‐loader (τ) in vitro. Molecular Microbiology. 72(2). 537–549. 5 indexed citations
12.
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Larson, Marilynn A., Annika Weber, & Thomas L. McDonald. (2006). Bovine serum amyloid A3 gene structure and promoter analysis: Induced transcriptional expression by bacterial components and the hormone prolactin. Gene. 380(2). 104–110. 13 indexed citations
14.
Koepsell, Scott A., Marilynn A. Larson, Mark A. Griep, & Steven H. Hinrichs. (2006). Staphylococcus aureus Helicase but Not Escherichia coli Helicase Stimulates S. aureus Primase Activity and Maintains Initiation Specificity. Journal of Bacteriology. 188(13). 4673–4680. 25 indexed citations
15.
Larson, Marilynn A., et al.. (2005). Differential expression and secretion of bovine serum amyloid A3 (SAA3) by mammary epithelial cells stimulated with prolactin or lipopolysaccharide. Veterinary Immunology and Immunopathology. 107(3-4). 255–264. 52 indexed citations
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17.
Mack, David R., Thomas L. McDonald, Marilynn A. Larson, Shu Wei, & Annika Weber. (2003). The Conserved TFLK Motif of Mammary-Associated Serum Amyloid A3 Is Responsible for Up-regulation of Intestinal MUC3 Mucin Expression In Vitro. Pediatric Research. 53(1). 137–142. 33 indexed citations
18.
Larson, Marilynn A., et al.. (2003). Induction of human mammary-associated serum amyloid A3 expression by prolactin or lipopolysaccharide. Biochemical and Biophysical Research Communications. 301(4). 1030–1037. 65 indexed citations
19.
Larson, Marilynn A., Shu Wei, Annika Weber, David R. Mack, & Thomas L. McDonald. (2003). Human serum amyloid A3 peptide enhances intestinal MUC3 expression and inhibits EPEC adherence. Biochemical and Biophysical Research Communications. 300(2). 531–540. 57 indexed citations
20.
McDonald, Thomas L., Marilynn A. Larson, David R. Mack, & Annika Weber. (2001). Elevated extrahepatic expression and secretion of mammary-associated serum amyloid A 3 (M-SAA3) into colostrum. Veterinary Immunology and Immunopathology. 83(3-4). 203–211. 172 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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