Mary E. Logue

2.0k total citations
9 papers, 706 citations indexed

About

Mary E. Logue is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Mary E. Logue has authored 9 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Mary E. Logue's work include Antifungal resistance and susceptibility (7 papers), Probiotics and Fermented Foods (3 papers) and Fungal Infections and Studies (3 papers). Mary E. Logue is often cited by papers focused on Antifungal resistance and susceptibility (7 papers), Probiotics and Fermented Foods (3 papers) and Fungal Infections and Studies (3 papers). Mary E. Logue collaborates with scholars based in Ireland, Canada and Egypt. Mary E. Logue's co-authors include Geraldine Butler, David A. Fitzpatrick, Jason Stajich, Kenneth H. Wolfe, Denise B. Lynch, Muriel Grenon, Noel F. Lowndes, Tristan Rossignol, Simon Wong and Malcolm Whiteway and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, BMC Evolutionary Biology and Eukaryotic Cell.

In The Last Decade

Mary E. Logue

9 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary E. Logue Ireland 8 458 280 231 193 139 9 706
Yona Shadkchan Israel 18 316 0.7× 369 1.3× 294 1.3× 217 1.1× 92 0.7× 25 724
Paul T. Magee United States 14 319 0.7× 322 1.1× 122 0.5× 249 1.3× 96 0.7× 22 613
Thomas Doedt Canada 9 304 0.7× 545 1.9× 151 0.7× 366 1.9× 74 0.5× 9 738
Alain Defontaine France 13 224 0.5× 226 0.8× 166 0.7× 149 0.8× 77 0.6× 23 540
Marianne D. De Backer Belgium 10 328 0.7× 309 1.1× 112 0.5× 194 1.0× 39 0.3× 12 584
Srisombat Puttikamonkul United States 8 371 0.8× 384 1.4× 270 1.2× 250 1.3× 107 0.8× 12 804
Csilla Csank Canada 12 529 1.2× 496 1.8× 119 0.5× 345 1.8× 49 0.4× 15 829
Robert T. Todd United States 10 200 0.4× 306 1.1× 166 0.7× 226 1.2× 75 0.5× 14 516
Jennifer L. Reedy United States 14 364 0.8× 490 1.8× 255 1.1× 453 2.3× 116 0.8× 22 930
Ci Fu United States 16 458 1.0× 303 1.1× 339 1.5× 355 1.8× 149 1.1× 27 861

Countries citing papers authored by Mary E. Logue

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Logue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Logue. 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 Mary E. Logue. The network helps show where Mary E. Logue may publish in the future.

Co-authorship network of co-authors of Mary E. Logue

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

All Works

9 of 9 papers shown
1.
Lynch, Denise B., Mary E. Logue, Geraldine Butler, & Kenneth H. Wolfe. (2010). Chromosomal G + C Content Evolution in Yeasts: Systematic Interspecies Differences, and GC-Poor Troughs at Centromeres. Genome Biology and Evolution. 2. 572–583. 48 indexed citations
2.
Fitzpatrick, David A., Mary E. Logue, & Geraldine Butler. (2008). Evidence of recent interkingdom horizontal gene transfer between bacteria and Candida parapsilosis. BMC Evolutionary Biology. 8(1). 181–181. 51 indexed citations
3.
Rossignol, Tristan, et al.. (2008). Transcriptional Response of Candida parapsilosis following Exposure to Farnesol. Antimicrobial Agents and Chemotherapy. 52(6). 2296–2296. 1 indexed citations
4.
Rossignol, Tristan, et al.. (2007). Transcriptional Response of Candida parapsilosis following Exposure to Farnesol. Antimicrobial Agents and Chemotherapy. 51(7). 2304–2312. 60 indexed citations
5.
Rossignol, Tristan, et al.. (2007). Transcriptional Response of Candida parapsilosis following Exposure to Farnesol. Antimicrobial Agents and Chemotherapy. 51(7). 2304–2312. 7 indexed citations
6.
Dignard, Daniel, et al.. (2007). Identification and Characterization of MFA1 , the Gene Encoding Candida albicans a -Factor Pheromone. Eukaryotic Cell. 6(3). 487–494. 30 indexed citations
7.
Fitzpatrick, David A., Mary E. Logue, Jason Stajich, & Geraldine Butler. (2006). A fungal phylogeny based on 42 complete genomes derived from supertree and combined gene analysis.. BMC Evolutionary Biology. 6(1). 99–99. 358 indexed citations
8.
Logue, Mary E., et al.. (2006). Candida albicans Transcription Factor Ace2 Regulates Metabolism and Is Required for Filamentation in Hypoxic Conditions. Eukaryotic Cell. 5(12). 2001–2013. 106 indexed citations
9.
Logue, Mary E., Simon Wong, Kenneth H. Wolfe, & Geraldine Butler. (2005). A Genome Sequence Survey Shows that the Pathogenic YeastCandida parapsilosisHas a DefectiveMTLa1Allele at Its Mating Type Locus. Eukaryotic Cell. 4(6). 1009–1017. 45 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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