Maria E. Navas

418 citations
18 papers · 280 · h-index 9

Impact in

Papers in

Maria E. Navas

17 papers receiving 274 citations

Peers

Maria E. Navas
Comparison fields: 5 of 65
  • Clinical Biochemistry 93
  • Modeling and Simulation 31
  • Infectious Diseases 122
  • Microbiology 3
  • General Dentistry 6
Replace Jesús Ruiz-Aragón with:
Jesús Ruiz-Aragón Spain
Liselotte Coorevits Belgium
Jose Ferrolino United States
Terence K.M. Cheung China
Beatriz Perazzi Argentina
Reed Magleby United States
Scott Chapman Australia
Duha Al‐Zubeidi United States
Amna Nasir Pakistan
Raydel Anderson United States
Maria E. Navas relative to Jesús Ruiz-Aragón Spain Jesús Ruiz-Aragón's profile →
Citations per field
00.5×3.3×
Jesús Ruiz-Aragón · 1×
Citations per year

Countries citing papers authored by Maria E. Navas

Since Specialization
Citations

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

Fields of papers citing papers by Maria E. Navas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria E. Navas, 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 Maria E. Navas Line = papers co-authored together Maria E. Navas links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201389
2 202036
3 201325
4 202121
5 202121
6 202120
7 201415
8 202013
9 20168
10 20237
11 20226
12 20165
13
State of the art of emerging technologies in Colombia
20124
14 20214
15 20223
16 20242
17 20221
18 20230

About Maria E. Navas

Maria E. Navas is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Clinical Biochemistry, Epidemiology and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 280 indexed citations. Recurring topics across this work include Infection Control and Ventilation (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Infective Endocarditis Diagnosis and Management (3 papers), COVID-19 Clinical Research Studies (3 papers), Streptococcal Infections and Treatments (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Clinical Biochemistry (93 citations), Modeling and Simulation (31 citations), Infectious Diseases (122 citations), Microbiology (3 citations) and General Dentistry (6 citations). Maria E. Navas has collaborated with scholars based in United States and Colombia. Frequent co-authors include Gary W. Procop, Donald A. Wilson, Curtis J. Donskey, Sandra S. Richter, Linda Sercia, Trina F. Zabarsky, Christina Wojewoda, Marion J. Tuohy, Geraldine S. Hall and Sarah N. Redmond. Their work appears in journals such as Infection Control and Hospital Epidemiology, Journal of Clinical Microbiology, Clinical Infectious Diseases, Frontiers in Immunology and International Journal of Infectious Diseases.

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.

Explore authors with similar magnitude of impact