M. Vasiľ

39 papers receiving 291 citations

Peers

M. Vasiľ
Comparison fields: 5 of 57
  • Agronomy and Crop Science 186
  • Microbiology 5
  • Microbiology 40
  • Food Science 106
  • Small Animals 40
Replace S. Smulski with:
S. Smulski Poland
E. Malinowski Poland
S.F. Lima United States
Michael Farre Denmark
E. Rollin United States
C. Luengo Spain
José Giraudo Argentina
A. M. Dulin United States
B. K. Bansal India
Iñaki Albizu Spain
M. Vasiľ relative to S. Smulski Poland S. Smulski's profile →
Citations per field
00.5×
S. Smulski · 1×
Citations per year

Countries citing papers authored by M. Vasiľ

Since Specialization
Citations

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

Fields of papers citing papers by M. Vasiľ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 198440
3 201920
4 201616
5 201916
6 201215
7 201211
8 20118
9
Etiology, course and reduction of incidence of environmental mastitis in the herd of dairy cows
20097
10 20206
11 19976
12
Testing two Lactobacillus plantarum and Lactobacillus acidophilus strains for their suitability as a lipoid probiotic.
20046
13 20186
14 20175
15 20165
16 20175
17 20204
18 20124
19 19944
20 20144

About M. Vasiľ

M. Vasiľ is a scholar working on Agronomy and Crop Science, Food Science, Molecular Biology, Genetics and Nutrition and Dietetics, having authored 40 papers that have together received 308 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (27 papers), Probiotics and Fermented Foods (17 papers), Selenium in Biological Systems (5 papers), Reproductive Physiology in Livestock (5 papers), Genetic and phenotypic traits in livestock (3 papers), Identification and Quantification in Food (3 papers), Microbial Metabolism and Applications (2 papers) and Animal Nutrition and Health (2 papers). The work is most often cited by research in Agronomy and Crop Science (186 citations), Microbiology (5 citations), Microbiology (40 citations), Food Science (106 citations) and Small Animals (40 citations). M. Vasiľ has collaborated with scholars based in Slovakia, Poland and Czechia. Frequent co-authors include František Zigo, Ewa Pecka‐Kiełb, Zuzana Farkašová, Silvia Ondrašovičová, Jolanta Bujok, Jana Výrostková, Amalia Franco-Buff, James Todd, David W. Lawellin and J. Illek. Their work appears in journals such as Frontiers in Veterinary Science, Infection and Immunity, Journal of the Science of Food and Agriculture, Polish Journal of Veterinary Sciences and Acta Veterinaria Brno.

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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