Ria Benkő

64 papers receiving 771 citations

Peers

Ria Benkő
Comparison fields: 5 of 102
  • Applied Microbiology and Biotechnology 246
  • Family Practice 35
  • Molecular Medicine 100
  • Geriatrics and Gerontology 54
  • Clinical Biochemistry 53
Replace Mária Matúz with:
Mária Matúz Hungary
Usman Abubakar Malaysia
Vera Vlahović–Palčevski Croatia
Feras Darwish Elhajji Jordan
António Teixeira Rodrigues Portugal
Wenjing Ji China
María Victoria Gil-Navarro Spain
Kelly R. Reveles United States
Esayas Kebede Gudina Ethiopia
Akosua Adom Agyeman Australia
Ria Benkő relative to Mária Matúz Hungary Mária Matúz's profile →
Citations per field
00.5×1.5×
Mária Matúz · 1×
Citations per year

Countries citing papers authored by Ria Benkő

Since Specialization
Citations

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

Fields of papers citing papers by Ria Benkő

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 202056
3 201848
4 200841
5 200538
6 201738
7 200530
8 202229
9 201929
10 200723
11 201121
12 200721
13 202118
14 200918
15 200618
16 202015
17 202414
18 202014
19 202112
20 202211

About Ria Benkő

Ria Benkő is a scholar working on Applied Microbiology and Biotechnology, Epidemiology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Geriatrics and Gerontology, having authored 71 papers that have together received 788 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (29 papers), Pneumonia and Respiratory Infections (9 papers), Urinary Tract Infections Management (7 papers), Pharmaceutical Practices and Patient Outcomes (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Resistance in Bacteria (4 papers), Patient Satisfaction in Healthcare (4 papers) and Emergency and Acute Care Studies (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (246 citations), Family Practice (35 citations), Molecular Medicine (100 citations), Geriatrics and Gerontology (54 citations) and Clinical Biochemistry (53 citations). Ria Benkő has collaborated with scholars based in Hungary, Indonesia and Denmark. Frequent co-authors include Mária Matúz, Gyöngyvér Soós, Edit Hajdú, Péter Doró, Réka Viola, Márió Gajdács, Zoltán Pető, Edit Urbán, Payam Behzadi and Dezső Csupor. Their work appears in journals such as Antibiotics, Frontiers in Pharmacology, International Journal of Clinical Pharmacy, Pharmacoepidemiology and Drug Safety and British Journal of Clinical Pharmacology.

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