Erika Ungvári

467 citations
11 papers · 191 · h-index 7

Impact in

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

Papers in

    • Antimicrobial Resistance in Staphylococcus 6
    • Clostridium difficile and Clostridium perfringens research 1
    • Bacterial biofilms and quorum sensing 6

Erika Ungvári

11 papers receiving 191 citations

Peers

Erika Ungvári
Comparison fields: 5 of 34
  • Clinical Biochemistry 68
  • Infectious Diseases 144
  • Molecular Medicine 35
  • Applied Microbiology and Biotechnology 6
  • Endocrinology 8
Replace Megan R. Earls with:
Megan R. Earls Ireland
Maho Yokoyama United Kingdom
Priscila de Arruda Trindade Brazil
Xuewei Zhou Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Erika Ungvári

Since Specialization
Citations

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

Fields of papers citing papers by Erika Ungvári

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200786
2 201230
3 201426
4 201813
5 201111
6 20248
7 20247
8 20234
9 20212
10 20252
11 20232

About Erika Ungvári

Erika Ungvári is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Plant Science and Endocrinology, having authored 11 papers that have together received 191 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (6 papers), Antibiotic Resistance in Bacteria (5 papers), Salmonella and Campylobacter epidemiology (2 papers), Plant Pathogenic Bacteria Studies (2 papers), Escherichia coli research studies (1 paper), Plant-Microbe Interactions and Immunity (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Clinical Biochemistry (68 citations), Infectious Diseases (144 citations), Molecular Medicine (35 citations), Applied Microbiology and Biotechnology (6 citations) and Endocrinology (8 citations). Erika Ungvári has collaborated with scholars based in Hungary, Sweden and Netherlands. Frequent co-authors include Ákos Tóth, M. Füzi, Judit Pászti, Hajo Grundmann, Willem B. van Leeuwen, Teresa Conceição, Alex van Belkum, Hermı́nia de Lencastre, Marta Aires-de-Sousa and Péter Horváth. Their work appears in journals such as Clinical Microbiology and Infection, Antibiotics, Journal of Medical Microbiology, Eurosurveillance and Transboundary and Emerging 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.

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