Patrícia Pečnerová

986 citations
25 papers · 315 indexed · h-index 12
  • Paleontology top 10%
    • Archaeology and ancient environmental studies 4
    • Genetic diversity and population structure 6
    • Genetic and phenotypic traits in livestock 4
    • Forensic and Genetic Research 4
  • Ecology top 10%
    • Wildlife Ecology and Conservation 7
    • Animal Ecology and Behavior Studies 3
  • Anthropology top 10%
    • Pleistocene-Era Hominins and Archaeology 4
    • Indigenous Studies and Ecology 4

Patrícia Pečnerová

22 papers receiving 308 citations

Peers

Patrícia Pečnerová
Comparison fields: 5 of 50
  • Paleontology 91
  • Ecological Modeling 34
  • Genetics 168
  • Ecology 152
  • Anthropology 47
Replace Michaela Preick with:
Michaela Preick Germany
Veronica Nyström Sweden
Alba Rey‐Iglesia Denmark
Masaki Eda Japan
Johanna von Seth Sweden
Emil Karpinski Canada
Karis Baker United Kingdom
Anthea Gentry United Kingdom
Małgosia Nowak-Kemp United Kingdom
Jaco Weinstock United Kingdom
Patrícia Pečnerová relative to Michaela Preick Germany Michaela Preick's profile →
Citations per field
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Michaela Preick · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20241
5 20239
6 202315
7 202312
8 202241
9 20224
10 202211
11 202137
12 20211
13 20208
14 202015
15
4000-year-old reindeer mitogenomes from the Volga-Kama region reveal continuity among the forest reindeer in northeastern part of European Russia
20191
16 201812
17 201741
18 201724
19 20169
20 201514

About Patrícia Pečnerová

Patrícia Pečnerová is a scholar working on Paleontology, Genetics and Ecological Modeling, having authored 25 papers that have together received 315 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (7 papers), Genetic diversity and population structure (6 papers), Genetic and phenotypic traits in livestock (4 papers), Indigenous Studies and Ecology (4 papers), Forensic and Genetic Research (4 papers), Pleistocene-Era Hominins and Archaeology (4 papers), Archaeology and ancient environmental studies (4 papers) and Animal Ecology and Behavior Studies (3 papers). The work is most often cited by research in Paleontology (91 citations), Ecological Modeling (34 citations) and Genetics (168 citations). Patrícia Pečnerová has collaborated with scholars based in Sweden, Denmark and Russia. Frequent 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. Their work appears in journals such as Trends in Ecology & Evolution, Current Biology and Scientific Reports.

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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