Patrícia Pečnerová

986 total citations
25 papers, 315 citations indexed

About

Patrícia Pečnerová is a scholar working on Genetics, Ecology and Paleontology. According to data from OpenAlex, Patrícia Pečnerová has authored 25 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 11 papers in Ecology and 6 papers in Paleontology. Recurrent topics in Patrícia Pečnerová's work include Wildlife Ecology and Conservation (7 papers), Genetic diversity and population structure (6 papers) and Genetic and phenotypic traits in livestock (4 papers). Patrícia Pečnerová is often cited by papers focused on Wildlife Ecology and Conservation (7 papers), Genetic diversity and population structure (6 papers) and Genetic and phenotypic traits in livestock (4 papers). Patrícia Pečnerová collaborates with scholars based in Sweden, Denmark and Russia. Patrícia Pečnerová's co-authors include Love Dalén, Natália Martínková, David Díez‐del‐Molino, Sergey Vartanyan, Alexei Tikhonov, Pavel A. Nikolskiy, J. van der Plicht, Marianne Dehasque, Tatiana R. Feuerborn and Johanna von Seth and has published in prestigious journals such as Trends in Ecology & Evolution, Current Biology and Scientific Reports.

In The Last Decade

Patrícia Pečnerová

22 papers receiving 308 citations

Peers

Patrícia Pečnerová
Comparison fields: 5 of 50
  • Genetics 168
  • Ecology 152
  • Molecular Biology 93
  • Paleontology 91
  • Anthropology 47
Replace Alba Rey‐Iglesia with:
Alba Rey‐Iglesia Denmark
Johanna von Seth Sweden
Veronica Nyström Sweden
Masaki Eda Japan
Emil Karpinski Canada
Anthea Gentry United Kingdom
Jaco Weinstock United Kingdom
Meirav Meiri Israel
Jacobo Weinstock United Kingdom
Michaela Preick Germany
Alba Rey‐Iglesia Denmark View profile →
Citations per field, relative to Patrícia Pečnerová
Patrícia Pečnerová · 1×
Citations per year, relative to Patrícia Pečnerová
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Countries citing papers authored by Patrícia Pečnerová

Since Specialization
Citations

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

Fields of papers citing papers by Patrícia Pečnerová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrícia Pečnerová

This figure shows the co-authorship network connecting the top 25 collaborators of Patrícia Pečnerová. A scholar is included among the top collaborators of Patrícia Pečnerová 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 Patrícia Pečnerová. Patrícia Pečnerová 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 0
2 1
3 0
4 1
5 9
6 15
7 12
8 41
9 4
10 11
11 37
12 1
13 8
14 15
15
4000-year-old reindeer mitogenomes from the Volga-Kama region reveal continuity among the forest reindeer in northeastern part of European Russia
1
16 12
17 41
18 24
19 9
20 14

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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