Robert Ekblom

5.8k citations
44 papers · 2.6k indexed · 2 hit papers · h-index 23

Robert Ekblom

42 papers receiving 2.6k citations

Hit Papers

Adaptation genomics: the next generation4852010202620152020250500750

Peers

Robert Ekblom
Comparison fields: 5 of 111
  • Genetics 1.2k
  • Ecological Modeling 159
  • Ecology, Evolution, Behavior and Systematics 580
  • Ecology 746
  • Parasitology 122
Replace Reto Burri with:
Reto Burri Switzerland
Scott K. Davis United States
Yun Fu China
Jennifer C. Ast United States
Sarah M. Hird United States
Sara Guirao‐Rico Spain
Håkan Wittzell Sweden
A. von Haeseler Germany
Alejandro Sánchez‐Gracia Spain
Truls Moum Norway
Robert Ekblom relative to Reto Burri Switzerland Reto Burri's profile →
Citations per field
00.5×1.6×
Reto Burri · 1×
Citations per year

Countries citing papers authored by Robert Ekblom

Since Specialization
Citations

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

Fields of papers citing papers by Robert Ekblom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20239
2 202233
3 202133
4
Estimation of gene flow into the Scandinavian wolverine
20191
5 20180
6 20178
7 201447
8 201435
9 201365
10 201226
11 201041
12 201048
13 2010109
14
Applications of next generation sequencing in molecular ecology of non-model organismsbreakdown →
2010781
15 200824
16
An estimate of the Great Snipe Gallinago media population in Sweden based on recent surveys at Ånnsjön and Storlien
20073
17 20072
18 2007141
19 200483
20 200342

About Robert Ekblom

Robert Ekblom is a scholar working on Ecological Modeling, Genetics, Ecology, Ecology, Evolution, Behavior and Systematics and Parasitology, having authored 44 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic diversity and population structure (17 papers), Genomics and Phylogenetic Studies (11 papers), Animal Behavior and Reproduction (9 papers), Wildlife Ecology and Conservation (9 papers), Genetic and phenotypic traits in livestock (8 papers), Environmental DNA in Biodiversity Studies (6 papers), Species Distribution and Climate Change (5 papers) and Plant and animal studies (4 papers). The work is most often cited by research in Genetics (1.2k citations), Ecological Modeling (159 citations), Ecology, Evolution, Behavior and Systematics (580 citations), Ecology (746 citations) and Parasitology (122 citations). Robert Ekblom has collaborated with scholars based in Sweden, United Kingdom and Norway. Frequent co-authors include Juan Galindo, Jochen B. W. Wolf, Jon Slate, ‎Jacob Höglund, Jessica Stapley, Alexander D. Ball, Andrew P. Beckerman, Julia Reger, Philine G. D. Feulner and Clair Bennison. Their work appears in journals such as BMC Genomics, Molecular Ecology, Immunogenetics, Biological Conservation 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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