Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Adhesion and aggregation ability of probiotic strainLactobacillus acidophilusM92
2003728 citationsBlaženka Kos, Jagoda Šušković et al.Journal of Applied Microbiologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Miljenko Šimpraga
Since
Specialization
Citations
This map shows the geographic impact of Miljenko Šimpraga'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 Miljenko Šimpraga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miljenko Šimpraga more than expected).
Fields of papers citing papers by Miljenko Šimpraga
This network shows the impact of papers produced by Miljenko Šimpraga. 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 Miljenko Šimpraga. The network helps show where Miljenko Šimpraga may publish in the future.
Co-authorship network of co-authors of Miljenko Šimpraga
This figure shows the co-authorship network connecting the top 25 collaborators of Miljenko Šimpraga.
A scholar is included among the top collaborators of Miljenko Šimpraga 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 Miljenko Šimpraga. Miljenko Šimpraga is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Belić, Milivoj R., Hrvoje Brzica, Gordan Mršić, et al.. (2018). Effect of dietary supplementation with dry and raw white button mushroom (Agaricus bisporus) on biochemical blood parameters of Lika pramenka lambs. Magyar Állatorvosok Lapja. 140(5). 303–312.
Žaja, Ivona Žura, et al.. (2014). Concentration of proteins and protein fractions in blood plasma of chickens hatched from eggs irradiated with low dose gamma radiation.. Veterinarski arhiv. 84(4). 401–409.4 indexed citations
9.
Ivanković, Ante, et al.. (2012). Institutional and legal framework for ex-situ conservation in the Republic of Croatia.
10.
Vojta, Aleksandar, et al.. (2011). Hematological and biochemical reference intervals in Dalmatian pramenka sheep estimated from reduced sample size by bootstrap resampling.. Veterinarski arhiv. 81(1). 25–33.23 indexed citations
Šimpraga, Miljenko, et al.. (2008). Hematological and biochemical parameters of ostriches after vaccination against Newcastle disease. Periodicum Biologorum. 110(1). 91–94.4 indexed citations
Šimpraga, Miljenko, et al.. (2006). Clinical picture, haematological parameters and pathomorphological findings in fattening chickens after application of lethal quantity of 32P. Veterinarski arhiv. 76(6). 507–519.
16.
Šimpraga, Miljenko, et al.. (2004). Calcium, phosphorus and magnesium levels and alkaline phosphatase activity in the blood of one-day-old ostriches. Veterinarski arhiv. 74(3). 177–188.2 indexed citations
17.
Kos, Blaženka, Jagoda Šušković, S. Vuković, et al.. (2003). Adhesion and aggregation ability of probiotic strainLactobacillus acidophilusM92. Journal of Applied Microbiology. 94(6). 981–987.728 indexed citations breakdown →
Šimpraga, Miljenko, et al.. (1999). Korištenje animalnog modela u određivanju raspodjele doze zračenja u rendgenskoj dijagnostici.. Veterinarski arhiv. 69(5). 289–298.1 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.