S. Arent

592 citations
18 papers · 470 · h-index 14

Impact in

    • Animal Nutrition and Physiology
    • Rabbits: Nutrition, Reproduction, Health
    • Meat and Animal Product Quality
    • Animal Behavior and Welfare Studies

Papers in

S. Arent

18 papers receiving 463 citations

Peers

S. Arent
Comparison fields: 5 of 66
  • Animal Science and Zoology 174
  • Small Animals 41
  • Molecular Biology 236
  • Biochemistry 25
  • Agronomy and Crop Science 31
Replace Xiaona Liang with:
Xiaona Liang China
H Böhme Germany
R. Begbie United Kingdom
Denis Pâquet France
Michael G. Casey Switzerland
H.S. Aparna India
Junko Nishimura Japan
J. E. Kunsman United States
Junlong Bi China
Diliana Dimova France
S. Arent relative to Xiaona Liang China Xiaona Liang's profile →
Citations per field
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Xiaona Liang · 1×
Citations per year

Countries citing papers authored by S. Arent

Since Specialization
Citations

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

Fields of papers citing papers by S. Arent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201561
2 201553
3 200850
4 201543
5 201041
6 201038
7 200331
8 201526
9 200424
10 201720
11 200618
12 200617
13 200715
14 200414
15 200510
16 20185
17 20163
18 20171

About S. Arent

S. Arent is a scholar working on Molecular Biology, Animal Science and Zoology, Clinical Biochemistry, Nutrition and Dietetics and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 470 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (6 papers), Biochemical and Molecular Research (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism and Genetic Disorders (4 papers), Food composition and properties (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Enzyme Structure and Function (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Animal Science and Zoology (174 citations), Small Animals (41 citations), Molecular Biology (236 citations), Biochemistry (25 citations) and Agronomy and Crop Science (31 citations). S. Arent has collaborated with scholars based in Denmark, France and Canada. Frequent co-authors include A. Henriksen, Valerie E. Pye, S. Dalsgaard, Helle Nygaard Lærke, Knud Erik Bach Knudsen, Sine Larsen, Caspar Christensen, Kaj Frank Jensen, L.F. Romero and Elijah G. Kiarie. Their work appears in journals such as Journal of Animal Science, Journal of Biological Chemistry, Biochemistry, Animal Feed Science and Technology and FEBS Journal.

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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