D. Suter

632 citations
16 papers · 324 indexed · h-index 9
Topics
Metabolomics and Mass Spectrometry Studies (2 papers)Genetic and phenotypic traits in livestock (2 papers)Metabolism and Genetic Disorders (2 papers)
Partner nations
AustraliaHungaryJapan

In The Last Decade

D. Suter

14 papers receiving 290 citations

Peers

D. Suter
Comparison fields: 5 of 71
  • Pathology and Forensic Medicine 97
  • Nutrition and Dietetics 76
  • Reproductive Medicine 65
  • Genetics 60
  • Molecular Biology 52
Replace Albert Sanchez with:
Albert Sanchez United States
Katharine M. Whitney United States
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L Wenda-Rózewicka Poland
F Cheung Canada
A Nagyová Slovakia
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D. Suter relative to Albert Sanchez United States Albert Sanchez's profile →
Citations per field
00.5×4.3×
Albert Sanchez · 1×
Citations per year

Countries citing papers authored by D. Suter

Since Specialization
Citations

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

Fields of papers citing papers by D. Suter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Suter

This figure shows the co-authorship network connecting the top 25 collaborators of D. Suter. A scholar is included among the top collaborators of D. Suter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Suter. D. Suter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 12
3
Varieties of tall fescue and timothy tested.
2
4
Understanding Australian Wheat Quality.
12
5
Persistence and production ability of Dactylis glomerata L., Dactylis polygama Horvat, Festuca arundinacea L. and genus hybrids in 1986-2003.
3
6
Quality of beef from grass-based production systems compared with beef from intensive production systems.
3
7
The effect of different legume-based pastures on the fatty acid composition of sheep milk with focus on CLA.
11
8 111
9
Burgen Soy-Lin: development of an innovative functional staple food.
3
10 26
11 14
12 9
13 3
14 8
15 13
16 91

About D. Suter

D. Suter is a scholar working on Gastroenterology, Agronomy and Crop Science and Clinical Biochemistry, having authored 16 papers that have together received 324 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Reproductive Medicine (65 citations), Pathology and Forensic Medicine (97 citations) and Nutrition and Dietetics (76 citations). D. Suter has collaborated with scholars based in Australia, Hungary and Japan. Frequent co-authors include Damon D. Ridley, Hideo Mohri, I. G. White, P.D.C. Brown-Woodman, Andreanyta Meliala, Fabien S Dalais, Mark Frydenberg, Mark L. Wahlqvist, Naiyana Wattanapenpaiboon and David L. Topping. Their work appears in journals such as Nature, Biochemical Journal and Journal of Nutrition.

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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