Marissa P Pacey

416 total citations
11 papers, 298 citations indexed

About

Marissa P Pacey is a scholar working on Molecular Medicine, Infectious Diseases and Epidemiology. According to data from OpenAlex, Marissa P Pacey has authored 11 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Medicine, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Marissa P Pacey's work include Antibiotic Resistance in Bacteria (8 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Marissa P Pacey is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Marissa P Pacey collaborates with scholars based in United States, Japan and China. Marissa P Pacey's co-authors include Yohei Doi, Roberta T. Mettus, Vaughn S. Cooper, Mustapha M. Mustapha, A. William Pasculle, Lee H. Harrison, Jane W. Marsh, Christi L. McElheny, Ashley Ayres and Ryota Ito and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Marissa P Pacey

11 papers receiving 292 citations

Peers

Marissa P Pacey
Xiuyu Xu China
Marissa P Pacey
Citations per year, relative to Marissa P Pacey Marissa P Pacey (= 1×) peers Xiuyu Xu

Countries citing papers authored by Marissa P Pacey

Since Specialization
Citations

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

Fields of papers citing papers by Marissa P Pacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marissa P Pacey. 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 Marissa P Pacey. The network helps show where Marissa P Pacey may publish in the future.

Co-authorship network of co-authors of Marissa P Pacey

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

All Works

11 of 11 papers shown
1.
Sundermann, Alexander, James Miller, Jane W. Marsh, et al.. (2019). Automated data mining of the electronic health record for investigation of healthcare-associated outbreaks. Infection Control and Hospital Epidemiology. 40(3). 314–319. 34 indexed citations
2.
Miller, James, Alexander Sundermann, Jane W. Marsh, et al.. (2019). Statistical outbreak detection by joining medical records and pathogen similarity. Journal of Biomedical Informatics. 91. 103126–103126. 11 indexed citations
3.
Babiker, Ahmed, Mustapha M. Mustapha, Marissa P Pacey, et al.. (2019). Use of online tools for antimicrobial resistance prediction by whole-genome sequencing in methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE). Journal of Global Antimicrobial Resistance. 19. 136–143. 19 indexed citations
4.
Sundermann, Alexander, Ahmed Babiker, Jane W. Marsh, et al.. (2019). Outbreak of Vancomycin-resistant Enterococcus faecium in Interventional Radiology: Detection Through Whole-genome Sequencing-based Surveillance. Clinical Infectious Diseases. 70(11). 2336–2343. 41 indexed citations
5.
Marsh, Jane W., Edgar Delgado, A. William Pasculle, et al.. (2018). Bronchoscope-associated clusters of multidrug-resistant Pseudomonas aeruginosa and carbapenem-resistant Klebsiella pneumoniae. Infection Control and Hospital Epidemiology. 40(1). 40–46. 38 indexed citations
6.
Mustapha, Mustapha M., Bin Li, Marissa P Pacey, et al.. (2018). Phylogenomics of colistin-susceptible and resistant XDR Acinetobacter baumannii. Journal of Antimicrobial Chemotherapy. 73(11). 2952–2959. 23 indexed citations
7.
Ito, Ryota, Marissa P Pacey, Roberta T. Mettus, Nicolas Sluis‐Cremer, & Yohei Doi. (2017). Origin of the plasmid-mediated fosfomycin resistance gene fosA3. Journal of Antimicrobial Chemotherapy. 73(2). 373–376. 29 indexed citations
8.
Ito, Ryota, Mustapha M. Mustapha, Christi L. McElheny, et al.. (2017). Frequency and Mechanisms of Spontaneous Fosfomycin Nonsusceptibility Observed upon Disk Diffusion Testing of Escherichia coli. Journal of Clinical Microbiology. 56(1). 36 indexed citations
9.
Leung, Lisa M., Vaughn S. Cooper, David A. Rasko, et al.. (2017). Structural modification of LPS in colistin-resistant, KPC-producing Klebsiella pneumoniae. Journal of Antimicrobial Chemotherapy. 72(11). 3035–3042. 58 indexed citations
10.
Mustapha, Mustapha M., Jane W. Marsh, Chinelo Ezeonwuka, et al.. (2016). Draft Genome Sequences of Four Hospital-Associated Pseudomonas putida Isolates. Genome Announcements. 4(5). 3 indexed citations
11.
Li, Bin, Marissa P Pacey, & Yohei Doi. (2000). Chromosomal 16S Ribosomal RNA Methyltransferase RmtE1 in Escherichia coli Sequence Type 448. Emerging infectious diseases. 23(5). 876–878. 6 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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