Maja Maurić

499 total citations
33 papers, 338 citations indexed

About

Maja Maurić is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, Maja Maurić has authored 33 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Agronomy and Crop Science, 8 papers in Animal Science and Zoology and 8 papers in Genetics. Recurrent topics in Maja Maurić's work include Genetic and phenotypic traits in livestock (7 papers), Fatty Acid Research and Health (6 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). Maja Maurić is often cited by papers focused on Genetic and phenotypic traits in livestock (7 papers), Fatty Acid Research and Health (6 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). Maja Maurić collaborates with scholars based in Croatia, Denmark and Bosnia and Herzegovina. Maja Maurić's co-authors include Kristina Starčević, Tomislav Mašek, Miroslav Bajić, Luka Krstulović, Željko Mikulec, Zvonko Stojević, Vladimir Stevanović, Ljubo Barbić, Vilim Starešina and Irena Tabain and has published in prestigious journals such as Journal of the Science of Food and Agriculture, Viruses and European Food Research and Technology.

In The Last Decade

Maja Maurić

29 papers receiving 325 citations

Peers

Maja Maurić
Comparison fields: 5 of 87
  • Animal Science and Zoology 173
  • Infectious Diseases 69
  • Nutrition and Dietetics 42
  • Plant Science 41
  • Genetics 37
Replace Araceli Pinelli‐Saavedra with:
Araceli Pinelli‐Saavedra Mexico
Xiaoya Zhao China
Elisa Cotozzolo Italy
Viera Karaffová Slovakia
Gabi Dumitrescu Romania
Byoungchul Gill South Korea
Araceli Pinelli‐Saavedra Mexico View profile →
Citations per field, relative to Maja Maurić
Maja Maurić · 1×
Citations per year, relative to Maja Maurić
Maja Maurić · 1×

Countries citing papers authored by Maja Maurić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Maurić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Maurić

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Maurić. A scholar is included among the top collaborators of Maja Maurić 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 Maja Maurić. Maja Maurić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 5
5 5
6 1
7 2
8 3
9 3
10 6
11 2
12 10
13 2
14 3
15 54
16 5
17 3
18
Serum biochemical parameters in suckling piglets with low and average birth mass
8
19
The effects of DGAT1, FASN and PRL genes on milk production and milk composition traits in Simmental and crossbred Holstein cattle
2
20 3

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026