This map shows the geographic impact of Mario Mitak'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 Mario Mitak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Mitak more than expected).
This network shows the impact of papers produced by Mario Mitak. 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 Mario Mitak. The network helps show where Mario Mitak may publish in the future.
Co-authorship network of co-authors of Mario Mitak
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Mitak.
A scholar is included among the top collaborators of Mario Mitak based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Mario Mitak. Mario Mitak is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Samardžija, Marko, et al.. (2017). Oestrogen effects of zearelenon in farm animals and risks for human and animal health. Veterinarska stanica. 48(2). 109–118.2 indexed citations
4.
Zadravec, Manuela, et al.. (2015). Mikrobiološka kategorizacija krmiva i krmnih smjesa VDLUFA metodom. 3. 175–180.1 indexed citations
5.
Zadravec, Manuela, et al.. (2015). Microbiological categorisation of feed and feeding stuffs by VDLUFA method.. Veterinarska stanica. 46(3). 175–180.1 indexed citations
6.
Kozačinski, Lidija, et al.. (2012). Evaluation of shelf life of pre-packed cut poultry meat.. Veterinarski arhiv. 82(1). 47–58.24 indexed citations
Mitak, Mario, Jelka Pleadin, Nina Perši, Ana Vulić, & Manuela Zadravec. (2011). Mycotoxins in feed commodities and mixtures during 2009 and 2010.. 42(2). 139–145.2 indexed citations
10.
Habrun, Boris, et al.. (2010). Antimikrobna osjetljivost bakterija Escherichia coli, Salmonella spp., Pasteurella multocida, Streptococcus suis i Actinobacillus pleuropneumoniae izdvojenih iz dijagnostičkih uzoraka iz velikih svinjogojskih farmi u Hrvatskoj. Veterinarski arhiv. 80(5). 571–583.7 indexed citations
Zdolec, Nevijo, et al.. (2010). Quality of Trappist cheese from Croatian dairy plant.. Mljekarstvo/Mljekarstvo.com. 60(4). 288–298.4 indexed citations
13.
Bilandžić, Nina, Mario Mitak, & Snežana Simić. (2010). Levamisole increases leukocyte count and immunoglobulin levels in young boars.. Slovenian Veterinary Research. 47(1). 13–19.3 indexed citations
14.
Cvetnić, Željko, Silvio Špičić, Sanja Duvnjak, et al.. (2009). High prevalence of Mycobacterium avium subsp. hominissuis in a batch of quarantined pigs in Croatia.. Slovenian Veterinary Research. 46(4). 149–154.4 indexed citations
Mitak, Mario, et al.. (2005). Contamination of corn with zearalenone in 2004.. Veterinarska stanica. 36(2). 95.5 indexed citations
17.
Cvetnić, Željko, et al.. (2003). Q-groznica na području Topuskoga 2001. godine. University of Zagreb University Computing Centre (SRCE). 1(2). 83–88.1 indexed citations
18.
Pleadin, Jelka, et al.. (2002). Determination of Clenbuterol in Pig Liver Following Prolonged Administration of a Growth-Promoting Dose. SHILAP Revista de lepidopterología.6 indexed citations
19.
Mikulec, Željko, et al.. (2002). Utjecaj repičine sačme na proizvodna svojstva pilića u tovu. Hrčak Portal of scientific journals of Croatia (University Computing Centre). 44(4). 179–190.1 indexed citations
20.
Mitak, Mario, et al.. (2001). Kontaminacija krmiva i krmnih smjesa za svinje zearalenonom u razdoblju od 1990-1999. Veterinarska stanica. 32(4). 205–209.2 indexed citations
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.