Natalie McCarthy

4.8k citations
49 papers · 1.7k indexed · 1 hit paper · h-index 21

Impact in

Papers in

Natalie McCarthy

46 papers receiving 1.7k citations

Hit Papers

Multidrug-Resistant Bacterial Infections in U.S. Hospitalized Patients, 2012–2017 2020 · 384 citations
3842020202620222024100200300

Peers

Natalie McCarthy
Comparison fields: 5 of 111
  • Health 616
  • Applied Microbiology and Biotechnology 134
  • Microbiology 366
  • Molecular Medicine 200
  • Obstetrics and Gynecology 212
Replace Maria Theodoridou with:
Maria Theodoridou Greece
James A. McKinnell United States
Nicole Le Saux Canada
Sophie Vaux France
Vassiliki Papaevangelou Greece
Sujan Reddy United States
Kate R. Woodworth United States
Paul Loubet France
Virginia L. Hinrichsen United States
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Natalie McCarthy relative to Maria Theodoridou Greece Maria Theodoridou's profile →
Citations per field
00.5×6.6×
Maria Theodoridou · 1×
Citations per year

Countries citing papers authored by Natalie McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Natalie McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie McCarthy. 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 Natalie McCarthy. The network helps show where Natalie McCarthy may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Natalie McCarthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Natalie McCarthy Line = papers co-authored together Natalie McCarthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20256
4 20251
5 20242
6 20232
7 20225
8 202013
9 201918
10 20172
11 201743
12 20161
13 201577
14 20152
15 201541
16 201415
17 201317
18 201321
19 201212
20 201030

About Natalie McCarthy

Natalie McCarthy is a scholar working on Applied Microbiology and Biotechnology, Health, Microbiology, Clinical Biochemistry and Critical Care and Intensive Care Medicine, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (25 papers), Vaccine Coverage and Hesitancy (22 papers), Bacterial Infections and Vaccines (10 papers), Antibiotic Use and Resistance (8 papers), Bacterial Identification and Susceptibility Testing (8 papers), Respiratory viral infections research (6 papers), Nosocomial Infections in ICU (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Health (616 citations), Applied Microbiology and Biotechnology (134 citations), Microbiology (366 citations), Molecular Medicine (200 citations) and Obstetrics and Gynecology (212 citations). Natalie McCarthy has collaborated with scholars based in United States, Taiwan and Kenya. Frequent co-authors include Allison L. Naleway, James Baggs, Elyse O. Kharbanda, James D. Nordin, Nicola P. Klein, Simon J. Hambidge, Anthony E. Fiore, Michael L. Jackson, Sujan Reddy and Gabriela Vazquez‐Benitez. Their work appears in journals such as Vaccine, Open Forum Infectious Diseases, American Journal of Preventive Medicine, Clinical Infectious Diseases and JAMA.

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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