Maja Jelenčič

429 citations
15 papers · 251 indexed · h-index 10
Topics
Genetic diversity and population structure (10 papers)Wildlife Ecology and Conservation (10 papers)Genetic and phenotypic traits in livestock (8 papers)

In The Last Decade

Maja Jelenčič

15 papers receiving 244 citations

Peers

Maja Jelenčič
Comparison fields: 5 of 35
  • Ecology 211
  • Genetics 174
  • Ecological Modeling 32
  • Molecular Biology 27
  • Nature and Landscape Conservation 18
Replace Mireia Casas‐Marce with:
Mireia Casas‐Marce Spain
Katharina Steyer Germany
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Brice Adams United States
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Naranbaatar Galsandorj Mongolia
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Citations per field
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Citations per year

Countries citing papers authored by Maja Jelenčič

Since Specialization
Citations

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

Fields of papers citing papers by Maja Jelenčič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Jelenčič

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 14
3 9
4
Spremljanje varstvenega stanja volkov v Sloveniji v letih 2018 in 2019
2
5 5
6 20
7 16
8
USING LABORATORY ROBOTICS, HIGH-THROUGHPUT SEQUENCING AND SAMPLING WITH VOLUNTEERS FOR QUICK AND COST-EFFECTIVE LARGE-SCALE GENETIC ESTIMATES OF BROWN BEAR POPULATION SIZE – TRANSBOUNDARY CASE STUDY IN SLOVENIA
1
9 29
10 35
11 32
12 45
13 13
14
Bringing together genetic research on brown bears in the Alps – Dinara – Pindos and Carpathian Mountains
3
15 25

About Maja Jelenčič

Maja Jelenčič is a scholar working on Ecology, Genetics and General Agricultural and Biological Sciences, having authored 15 papers that have together received 251 indexed citations. Recurring topics across this work include Genetic diversity and population structure (10 papers), Wildlife Ecology and Conservation (10 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Ecology (211 citations), Ecological Modeling (32 citations) and Genetics (174 citations). Maja Jelenčič has collaborated with scholars based in Slovenia, Croatia and United States. Frequent co-authors include Tomaž Skrbinšek, Peter Trontelj, Lisette P. Waits, Ivan Kos, Hubert Potočnik, Klemen Jerina, Đuro Huber, Magda Sindičić, Tomislav Gomerčić and Miroslav Kutal. Their work appears in journals such as PLoS ONE, Molecular Ecology and Heredity.

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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