Malena Erbe

2.2k citations
36 papers · 1.5k indexed · 1 hit paper · h-index 17

Malena Erbe

36 papers receiving 1.5k citations

Hit Papers

Improving accuracy of genomic predictions within and betw...4742012202620162021100200300400

Peers

Malena Erbe
Comparison fields: 5 of 71
  • Genetics 1.4k
  • Plant Science 757
  • Agronomy and Crop Science 190
  • Animal Science and Zoology 143
  • Cancer Research 183
Replace Franz R. Seefried with:
Franz R. Seefried Switzerland
Gert Pedersen Aamand Denmark
Tage Ostersen Denmark
Ezequiel Luís Nicolazzi Italy
Myriam Mni Belgium
Brett Mason Australia
Reiner Emmerling Germany
Marcos S. Lopes Netherlands
Paulette Berzi Belgium
Peipei Ma China
Malena Erbe relative to Franz R. Seefried Switzerland Franz R. Seefried's profile →
Citations per field
00.5×1.5×2.2×
Franz R. Seefried · 1×
Citations per year

Countries citing papers authored by Malena Erbe

Since Specialization
Citations

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

Fields of papers citing papers by Malena Erbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Approximation of Reliability in Single Step Models using the Interbull Standardized Genomic Reliability Method
20193
2 20193
3 201814
4 201828
5 201744
6 20163
7 201517
8 20157
9 201518
10 201510
11
Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels (vol 95, pg 4114, 2012)
20141
12 201425
13 2014176
14 201345
15 201331
16 20124
17 2011226
18 201134
19
Comparison of three whole genome association mapping approaches in selected populations.
20101
20 20105

About Malena Erbe

Malena Erbe is a scholar working on Genetics, Animal Science and Zoology, Small Animals, Plant Science and Agronomy and Crop Science, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (34 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers), Genetics and Plant Breeding (14 papers), Animal Nutrition and Physiology (7 papers), Animal Behavior and Welfare Studies (4 papers), Effects of Environmental Stressors on Livestock (4 papers), Cancer-related molecular mechanisms research (3 papers) and Reproductive Physiology in Livestock (2 papers). The work is most often cited by research in Genetics (1.4k citations), Plant Science (757 citations), Agronomy and Crop Science (190 citations), Animal Science and Zoology (143 citations) and Cancer Research (183 citations). Malena Erbe has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Henner Simianer, Brett Mason, P.J. Bowman, Michael E. Goddard, Coralie M. Reich, Ben J. Hayes, Lakshmi K. Matukumalli, Srikanta Goswami, Valentin Wimmer and Ning Gao. Their work appears in journals such as PLoS ONE, Journal of Dairy Science, Journal of Animal Breeding and Genetics, Journal of Animal Science and Theoretical and Applied Genetics.

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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2026