David J. Kyle

87 papers receiving 4.5k citations

Peers

David J. Kyle
Comparison fields: 5 of 145
  • Agronomy and Crop Science 829
  • Nutrition and Dietetics 1.0k
  • Biochemistry 434
  • Renewable Energy, Sustainability and the Environment 640
  • Cellular and Molecular Neuroscience 681
Replace Norman S. Radin with:
Norman S. Radin United States
William W. Christie United Kingdom
Fumihiko Sato Japan
Noel W. Davies Australia
J. K. G. Kramer Canada
Ian Max Møller Denmark
Y. S. Huang United States
Emile Van Handel United States
Hans‐Peter Braun Germany
Bruce J. Holub Canada
David J. Kyle relative to Norman S. Radin United States Norman S. Radin's profile →
Citations per field
00.5×4.5×
Norman S. Radin · 1×
Citations per year

Countries citing papers authored by David J. Kyle

Since Specialization
Citations

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

Fields of papers citing papers by David J. Kyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Kyle. 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 David J. Kyle. The network helps show where David J. Kyle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006491
2 1984410
3 1984382
4 1987248
5 1983181
6 1990151
7 1985130
8 1985117
9 1984115
10 1997114
11 1995113
12 1997113
13 1999113
14 199698
15 199394
16 198489
17 198285
18 198683
19 197982
20 198281

About David J. Kyle

David J. Kyle is a scholar working on Molecular Biology, Nutrition and Dietetics, Agronomy and Crop Science, Cellular and Molecular Neuroscience and Biochemistry, having authored 88 papers that have together received 4.9k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (20 papers), Photosynthetic Processes and Mechanisms (20 papers), Ruminant Nutrition and Digestive Physiology (18 papers), Reproductive Physiology in Livestock (11 papers), Photoreceptor and optogenetics research (11 papers), Genetic and phenotypic traits in livestock (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Algal biology and biofuel production (7 papers). The work is most often cited by research in Agronomy and Crop Science (829 citations), Nutrition and Dietetics (1.0k citations), Biochemistry (434 citations), Renewable Energy, Sustainability and the Environment (640 citations) and Cellular and Molecular Neuroscience (681 citations). David J. Kyle has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Charles J. Arntzen, Itzhak Ohad, E. R. Ørskov, Ernst J. Schaefer, Alexa Beiser, Gary J. Nelson, Darshan S. Kelley, Philip Haworth, T. Fujihara and P. J. Reeds. Their work appears in journals such as British Journal Of Nutrition, PLANT PHYSIOLOGY, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Food and Chemical Toxicology and The Journal of Agricultural Science.

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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