Paula Korkuć

463 total citations
25 papers, 292 citations indexed

About

Paula Korkuć is a scholar working on Genetics, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Paula Korkuć has authored 25 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Agronomy and Crop Science. Recurrent topics in Paula Korkuć's work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). Paula Korkuć is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). Paula Korkuć collaborates with scholars based in Germany, United Kingdom and Sudan. Paula Korkuć's co-authors include Dirk Walther, Gudrun A. Brockmann, Danny Arends, Jos H. M. Schippers, Katharina May, Sven König, Tong Yin, Sven König, Monika Reißmann and Carsten Scheper and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and Genetics.

In The Last Decade

Paula Korkuć

24 papers receiving 291 citations

Peers

Paula Korkuć
Comparison fields: 5 of 56
  • Genetics 172
  • Molecular Biology 97
  • Agronomy and Crop Science 78
  • Plant Science 65
  • Cancer Research 30
Replace Elisa Marques with:
Elisa Marques Canada
M. Moradi Shahrbabak Iran
Zhanwei Zhuang China
Leticia P. Sanglard United States
E.‐M. Prinzenberg Germany
Leilei Cui China
Ghodrat Rahimi-Mianji Iran
Vera Vendramin Italy
Yinwen Zhang China
Lisheng Zhou China
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Citations per field, relative to Paula Korkuć
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Citations per year, relative to Paula Korkuć
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Countries citing papers authored by Paula Korkuć

Since Specialization
Citations

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

Fields of papers citing papers by Paula Korkuć

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Korkuć

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Korkuć. A scholar is included among the top collaborators of Paula Korkuć 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 Paula Korkuć. Paula Korkuć 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 13
3 2
4 9
5 9
6 2
7 5
8 15
9 14
10 2
11 14
12 21
13 32
14 18
15
1-step versus 2-step imputation: a case study in German Black Pied cattle
2
16 6
17 2
18 7
19 10
20 61

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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