Tim Erkens

511 citations
20 papers · 404 · h-index 10

Impact in

Papers in

    • Molecular Biology Techniques and Applications 3
    • Peroxisome Proliferator-Activated Receptors 3
    • Prion Diseases and Protein Misfolding 2
    • Adipose Tissue and Metabolism 6

Tim Erkens

20 papers receiving 393 citations

Peers

Tim Erkens
Comparison fields: 5 of 82
  • Equine 25
  • Animal Science and Zoology 72
  • Pharmaceutical Science 28
  • Agronomy and Crop Science 38
  • Genetics 100
Replace Jean‐Claude Desfontis with:
Jean‐Claude Desfontis France
Onkar S. Atwal Canada
Ruo‐Jun Xu Hong Kong
Lorenzo Bomba Italy
Balázs Bender Hungary
Warren Miner-Williams New Zealand
Ralph M. Peace United States
Evelien Van Hamme Belgium
Guifang Cao China
Mickey A. Latour United States
Tim Erkens relative to Jean‐Claude Desfontis France Jean‐Claude Desfontis's profile →
Citations per field
00.5×1.5×2.4×
Jean‐Claude Desfontis · 1×
Citations per year

Countries citing papers authored by Tim Erkens

Since Specialization
Citations

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

Fields of papers citing papers by Tim Erkens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006159
2 200941
3 201537
4 201329
5 201623
6 200918
7 200815
8 200813
9 200912
10 201010
11 20089
12 20099
13 20096
14 20096
15 20085
16 20104
17 20173
18 20182
19 20182
20 20231

About Tim Erkens

Tim Erkens is a scholar working on Molecular Biology, Physiology, Genetics, Animal Science and Zoology and Nutrition and Dietetics, having authored 20 papers that have together received 404 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Molecular Biology Techniques and Applications (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Trace Elements in Health (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Equine (25 citations), Animal Science and Zoology (72 citations), Pharmaceutical Science (28 citations), Agronomy and Crop Science (38 citations) and Genetics (100 citations). Tim Erkens has collaborated with scholars based in Belgium, Netherlands and Czechia. Frequent co-authors include Luc Peelman, Alex Van Zeveren, Mario Van Poucke, Jo Vandesompele, Karen Goossens, G. A. Rohrer, D. Nonneman, T. Wise, Lea A. Rempel and Myriam Hesta. Their work appears in journals such as BMC Veterinary Research, BMC Biotechnology, Analytical Biochemistry, Journal of Alzheimer s Disease and Animal 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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