David N. Burton

20 total papers · 491 total citations
19 papers, 426 citations indexed

About

David N. Burton is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, David N. Burton has authored 19 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Clinical Biochemistry. Recurrent topics in David N. Burton's work include Lipid metabolism and biosynthesis (4 papers), Metabolism and Genetic Disorders (4 papers) and Plant biochemistry and biosynthesis (4 papers). David N. Burton is often cited by papers focused on Lipid metabolism and biosynthesis (4 papers), Metabolism and Genetic Disorders (4 papers) and Plant biochemistry and biosynthesis (4 papers). David N. Burton collaborates with scholars based in Canada, United States and Australia. David N. Burton's co-authors include John W. Porter, A.G. Haavik, J. Michael Collins, Alfred L. Kennan, P.K. Stumpf, S W Law, James C. Jamieson, Peter Brooks, M J Forrest and David F. Tough and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

David N. Burton

18 papers receiving 382 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David N. Burton 272 99 93 85 55 19 426
K.J. Matthes 184 0.7× 132 1.3× 175 1.9× 83 1.0× 51 0.9× 27 437
Lucile F. Adamson 159 0.6× 56 0.6× 62 0.7× 64 0.8× 44 0.8× 19 407
Pari D. Spolter 169 0.6× 84 0.8× 122 1.3× 54 0.6× 45 0.8× 11 376
T Sakagami 286 1.1× 52 0.5× 98 1.1× 84 1.0× 59 1.1× 32 422
Frank A. Lornitzo 249 0.9× 42 0.4× 43 0.5× 62 0.7× 32 0.6× 25 384
H. Hift 237 0.9× 65 0.7× 65 0.7× 61 0.7× 49 0.9× 16 409
Ruth Okey 179 0.7× 75 0.8× 133 1.4× 83 1.0× 57 1.0× 31 489
Chu Yuan Lin 211 0.8× 55 0.6× 99 1.1× 105 1.2× 41 0.7× 24 409
D R Husbands 232 0.9× 72 0.7× 173 1.9× 152 1.8× 54 1.0× 11 482
Gertrud Rehner 187 0.7× 73 0.7× 95 1.0× 54 0.6× 72 1.3× 23 462

Countries citing papers authored by David N. Burton

Since Specialization
Citations

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

Fields of papers citing papers by David N. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David N. Burton

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Burton. A scholar is included among the top collaborators of David N. Burton 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 David N. Burton. David N. Burton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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