D. Nonneman

1.5k citations
24 papers · 489 · h-index 11

Impact in

  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals
    • Animal Genetics and Reproduction
    • Meat and Animal Product Quality
    • Animal Nutrition and Physiology

Papers in

    • Genetic and phenotypic traits in livestock 10
    • Genetic Mapping and Diversity in Plants and Animals 10
    • Meat and Animal Product Quality 5
    • Animal Nutrition and Physiology 2

D. Nonneman

24 papers receiving 467 citations

Peers

D. Nonneman
Comparison fields: 5 of 61
  • Genetics 305
  • Animal Science and Zoology 91
  • Small Animals 56
  • Aquatic Science 45
  • Endocrine and Autonomic Systems 29
Replace D. Matassino with:
D. Matassino Italy
Attila Zsolnai Hungary
Fábio Pértille Brazil
Dianelys González-Peña United States
H. van der Steen Australia
M.J. Peddie United Kingdom
Fengyan Meng China
Huanxi Zhu China
Zhenshuang Tang China
I.A. Boman Norway
D. Nonneman relative to D. Matassino Italy D. Matassino's profile →
Citations per field
00.5×4.8×
D. Matassino · 1×
Citations per year

Countries citing papers authored by D. Nonneman

Since Specialization
Citations

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

Fields of papers citing papers by D. Nonneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001154
2 201945
3 200744
4 200941
5 201327
6 201526
7 200222
8 201520
9 201719
10 201118
11 200412
12 20049
13 20119
14 20189
15 19996
16 20176
17 20185
18 20064
19 20034
20 20114

About D. Nonneman

D. Nonneman is a scholar working on Genetics, Animal Science and Zoology, Molecular Biology, Small Animals and Agronomy and Crop Science, having authored 24 papers that have together received 489 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Meat and Animal Product Quality (5 papers), Animal Behavior and Welfare Studies (3 papers), Reproductive Physiology in Livestock (3 papers), Molecular Biology Techniques and Applications (3 papers), Animal Nutrition and Physiology (2 papers) and Calpain Protease Function and Regulation (2 papers). The work is most often cited by research in Genetics (305 citations), Animal Science and Zoology (91 citations), Small Animals (56 citations), Aquatic Science (45 citations) and Endocrine and Autonomic Systems (29 citations). D. Nonneman has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include G. A. Rohrer, Brian G. Bosworth, Geoffrey C. Waldbieser, William R. Wolters, B. A. Freking, Lea A. Rempel, Clay A Lents, T. Wise, J. L. Vallet and Tim Erkens. Their work appears in journals such as Journal of Animal Science, Animal Genetics, Biology of Reproduction, BMC Genomics and 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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