Goran Kušec

858 citations
74 papers · 370 · h-index 11

Impact in

Papers in

    • Meat and Animal Product Quality 43
    • Animal Nutrition and Physiology 39
    • Genetic and phenotypic traits in livestock 18
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Genetic diversity and population structure 4

Goran Kušec

64 papers receiving 341 citations

Peers

Goran Kušec
Comparison fields: 5 of 61
  • Animal Science and Zoology 263
  • Small Animals 61
  • Food Science 65
  • Genetics 100
  • Agronomy and Crop Science 19
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L. Journaux France
M. Bocian Poland
Ivona Djurkin Kušec Croatia
Welder Angelo Baldassini Brazil
S. R. Baud Australia
A. Gee Australia
W. Kapelański Poland
Magdalena Szyndler‐Nędza Poland
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Citations per year

Countries citing papers authored by Goran Kušec

Since Specialization
Citations

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

Fields of papers citing papers by Goran Kušec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 202025
3 202220
4 201815
5 200615
6 201711
7 202211
8
Meat Quality Indicators and their Correlation in Two Crosses of Pigs
200311
9 201211
10 201210
11 201510
12 200510
13 20198
14 20047
15
The influence of rape seed / oil on the quality of chicken carcasses
20037
16 20087
17 20217
18 20116
19
ANALYSIS OF PHENOTYPIC EXPRESSION AND GROWTH OF GILTS USING ASYMMETRIC S-FUNCTION
19996
20 20205

About Goran Kušec

Goran Kušec is a scholar working on Animal Science and Zoology, Genetics, Small Animals, Molecular Biology and General Agricultural and Biological Sciences, having authored 74 papers that have together received 370 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (43 papers), Animal Nutrition and Physiology (39 papers), Genetic and phenotypic traits in livestock (18 papers), Animal Behavior and Welfare Studies (13 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Agriculture and Biological Studies (5 papers), Identification and Quantification in Food (4 papers) and Genetic diversity and population structure (4 papers). The work is most often cited by research in Animal Science and Zoology (263 citations), Small Animals (61 citations), Food Science (65 citations), Genetics (100 citations) and Agronomy and Crop Science (19 citations). Goran Kušec has collaborated with scholars based in Croatia, Slovenia and Germany. Frequent co-authors include Ivona Djurkin Kušec, Gordana Kralik, Jelka Pleadin, Vladimir Margeta, Lidija Kozačinski, Bela Njari, Helga Medić, Ulrich Baulain, Erhard Kallweit and Rudolf Scitovski. Their work appears in journals such as Animals, Italian Journal of Animal Science, Foods, Genetics Selection Evolution and Meat Science.

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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