V. Kmeť

1.4k citations
98 papers · 1.1k indexed · h-index 20

V. Kmeť

98 papers receiving 1.1k citations

Peers

V. Kmeť
Comparison fields: 5 of 94
  • Food Science 573
  • Molecular Medicine 156
  • Endocrinology 149
  • Microbiology 97
  • Animal Science and Zoology 126
Replace Robin Temmerman with:
Robin Temmerman Belgium
Claire Verraes Belgium
Jacek Bardowski Poland
Teresa Semedo‐Lemsaddek Portugal
Carola Konstabel Germany
Jan Kabisch Germany
Sigrid Mayrhofer Austria
J. Bauer Germany
Serajus Salaheen United States
Marc J. A. Stevens Switzerland
V. Kmeť relative to Robin Temmerman Belgium Robin Temmerman's profile →
Citations per field
00.5×1.5×2.2×
Robin Temmerman · 1×
Citations per year

Countries citing papers authored by V. Kmeť

Since Specialization
Citations

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

Fields of papers citing papers by V. Kmeť

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20218
3 20218
4 20216
5
Antioxidant and anti-quorum sensing properties of edible mushrooms.
20196
6 201611
7 20145
8 201362
9 201219
10
Virulence factors in Escherichia coli isolated from chicken meat in Slovakia.
20106
11 200859
12
Effect of Enterococcus faecium on the Digestive Tract of Poultry as a Probiotic
20068
13 200634
14 200413
15 20033
16 200212
17 200230
18 19954
19 199322
20 19921

About V. Kmeť

V. Kmeť is a scholar working on Endocrinology, Food Science, Molecular Medicine, Agronomy and Crop Science and Biotechnology, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (38 papers), Gut microbiota and health (22 papers), Escherichia coli research studies (17 papers), Ruminant Nutrition and Digestive Physiology (12 papers), Antibiotic Resistance in Bacteria (11 papers), Bacteriophages and microbial interactions (8 papers), Milk Quality and Mastitis in Dairy Cows (7 papers) and Listeria monocytogenes in Food Safety (7 papers). The work is most often cited by research in Food Science (573 citations), Molecular Medicine (156 citations), Endocrinology (149 citations), Microbiology (97 citations) and Animal Science and Zoology (126 citations). V. Kmeť has collaborated with scholars based in Slovakia, Czechia and Italy. Frequent co-authors include Dobroslava Bujňáková, G. Gregová, Zuzana Šefčíková, Š Mózeš, Franco Lucchini, M. Kmeťová, Eva Straková, J. Venglovský, V. Bottazzi and Lorenzo Morelli. Their work appears in journals such as International Journal of Food Microbiology, Asian-Australasian Journal of Animal Sciences, European Journal of Wildlife Research, Journal of Environmental Science and Health Part B and Letters in Applied Microbiology.

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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