Jacqueline M. LaMarre

484 total citations
7 papers, 395 citations indexed

About

Jacqueline M. LaMarre is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Jacqueline M. LaMarre has authored 7 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Genetics. Recurrent topics in Jacqueline M. LaMarre's work include Bacterial Genetics and Biotechnology (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacteriophages and microbial interactions (2 papers). Jacqueline M. LaMarre is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacteriophages and microbial interactions (2 papers). Jacqueline M. LaMarre collaborates with scholars based in United States, Australia and Germany. Jacqueline M. LaMarre's co-authors include Alexander S. Mankin, Karen Joy Shaw, Jeffrey B. Locke, Danica Galonić Fujimori, Jochen Wiesner, René C. Röhrich, Yan Feng, Hassan Jomaa, Benjamin P. Howden and Frances O’Brien and has published in prestigious journals such as Journal of the American Chemical Society, Antimicrobial Agents and Chemotherapy and G3 Genes Genomes Genetics.

In The Last Decade

Jacqueline M. LaMarre

7 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline M. LaMarre United States 6 251 188 92 66 53 7 395
Gauri S. Joshi United States 8 233 0.9× 189 1.0× 24 0.3× 24 0.4× 56 1.1× 9 349
Stewart T. Cole France 9 296 1.2× 372 2.0× 32 0.3× 23 0.3× 46 0.9× 9 637
Klaus‐Peter Koller Germany 9 303 1.2× 113 0.6× 40 0.4× 21 0.3× 43 0.8× 12 447
M Surdeanu Romania 10 311 1.2× 181 1.0× 26 0.3× 11 0.2× 34 0.6× 21 474
T. Hills Canada 8 144 0.6× 40 0.2× 47 0.5× 49 0.7× 6 0.1× 8 290
Tiep Khac Nguyen Vietnam 6 196 0.8× 144 0.8× 104 1.1× 5 0.1× 34 0.6× 15 375
Sebastian Kuhn Germany 8 243 1.0× 148 0.8× 70 0.8× 5 0.1× 33 0.6× 9 402
Jordi Zamarreño Beas France 6 156 0.6× 29 0.2× 122 1.3× 13 0.2× 16 0.3× 9 365
Stephanie T. Stengel Germany 6 274 1.1× 145 0.8× 72 0.8× 6 0.1× 22 0.4× 8 489
Julienne C. Kaiser Canada 7 238 0.9× 156 0.8× 57 0.6× 7 0.1× 22 0.4× 8 385

Countries citing papers authored by Jacqueline M. LaMarre

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline M. LaMarre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline M. LaMarre

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

All Works

7 of 7 papers shown
1.
LaMarre, Jacqueline M., Rodrigo E. Mendes, Teresa Szal, et al.. (2012). The Genetic Environment of the cfr Gene and the Presence of Other Mechanisms Account for the Very High Linezolid Resistance of Staphylococcus epidermidis Isolate 426-3147L. Antimicrobial Agents and Chemotherapy. 57(3). 1173–1179. 32 indexed citations
2.
LaMarre, Jacqueline M., Benjamin P. Howden, & Alexander S. Mankin. (2011). Inactivation of the Indigenous Methyltransferase RlmN in Staphylococcus aureus Increases Linezolid Resistance. Antimicrobial Agents and Chemotherapy. 55(6). 2989–2991. 39 indexed citations
3.
Locke, Jeffrey B., et al.. (2011). Genetic Environment and Stability of cfr in Methicillin-Resistant Staphylococcus aureus CM05. Antimicrobial Agents and Chemotherapy. 56(1). 332–340. 59 indexed citations
4.
Wireman, Joy, Jessica B. Hostetler, John Gill, et al.. (2011). Major Families of Multiresistant Plasmids from Geographically and Epidemiologically Diverse Staphylococci. G3 Genes Genomes Genetics. 1(7). 581–591. 77 indexed citations
5.
LaMarre, Jacqueline M., Jeffrey B. Locke, Karen Joy Shaw, & Alexander S. Mankin. (2011). Low Fitness Cost of the Multidrug Resistance Gene cfr. Antimicrobial Agents and Chemotherapy. 55(8). 3714–3719. 56 indexed citations
6.
Feng, Yan, Jacqueline M. LaMarre, René C. Röhrich, et al.. (2010). RlmN and Cfr are Radical SAM Enzymes Involved in Methylation of Ribosomal RNA. Journal of the American Chemical Society. 132(11). 3953–3964. 127 indexed citations
7.
LaMarre, Jacqueline M., et al.. (2007). Synthesis of a Hemoglobin Polymer Containing Antioxidant Enzymes Using Complementary Chemistry of Maleimides and Sulfhydryls. Artificial Cells Blood Substitutes and Biotechnology. 35(1). 31–43. 5 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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