Dora Vager

532 citations
8 papers · 437 · h-index 8

Impact in

    • Bacterial Identification and Susceptibility Testing
    • Antimicrobial Resistance in Staphylococcus
    • Antifungal resistance and susceptibility
    • Clostridium difficile and Clostridium perfringens research

Papers in

Dora Vager

8 papers receiving 418 citations

Peers

Dora Vager
Comparison fields: 5 of 67
  • Clinical Biochemistry 199
  • Infectious Diseases 340
  • Molecular Medicine 40
  • Public Health, Environmental and Occupational Health 124
  • Microbiology 22
Replace Silvia C. Predari with:
Silvia C. Predari Argentina
Miruna David United Kingdom
Samuel Matsumura Canada
Yolanda Armero Spain
Marguerite Fines-Guyon France
Jacques Vouillamoz Switzerland
Nikolaos Giormezis Greece
Nancy Bourdon France
P. Gialanella United States
Marguerite Fines France
Dora Vager relative to Silvia C. Predari Argentina Silvia C. Predari's profile →
Citations per field
00.5×1.5×1.8×
Silvia C. Predari · 1×
Citations per year

Countries citing papers authored by Dora Vager

Since Specialization
Citations

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

Fields of papers citing papers by Dora Vager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2007161
2 200870
3 201468
4 200955
5 200733
6 200631
7 201610
8 20169

About Dora Vager

Dora Vager is a scholar working on Infectious Diseases, Clinical Biochemistry, Public Health, Environmental and Occupational Health, Molecular Biology and Epidemiology, having authored 8 papers that have together received 437 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Streptococcal Infections and Treatments (3 papers), Vibrio bacteria research studies (2 papers), Bacterial biofilms and quorum sensing (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Listeria monocytogenes in Food Safety (1 paper). The work is most often cited by research in Clinical Biochemistry (199 citations), Infectious Diseases (340 citations), Molecular Medicine (40 citations), Public Health, Environmental and Occupational Health (124 citations) and Microbiology (22 citations). Dora Vager has collaborated with scholars based in United States. Frequent co-authors include Mary Beth Perri, Marcus Zervos, Susan Donabedian, Susan L. Davis, Nadia Z. Haque, Elias K. Manavathu, José A. Vázquez, Barbara Robinson-Dunn, Carol L. Moore and Amandeep Singh. Their work appears in journals such as Journal of Clinical Microbiology, International Journal of Antimicrobial Agents, BMC Microbiology, Diagnostic Microbiology and Infectious Disease and Infection Control and Hospital Epidemiology.

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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