D. Burston

1.6k total citations
60 papers, 1.3k citations indexed

About

D. Burston is a scholar working on Nutrition and Dietetics, Molecular Biology and Oncology. According to data from OpenAlex, D. Burston has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nutrition and Dietetics, 17 papers in Molecular Biology and 15 papers in Oncology. Recurrent topics in D. Burston's work include Drug Transport and Resistance Mechanisms (12 papers), Clinical Nutrition and Gastroenterology (10 papers) and Protein Hydrolysis and Bioactive Peptides (9 papers). D. Burston is often cited by papers focused on Drug Transport and Resistance Mechanisms (12 papers), Clinical Nutrition and Gastroenterology (10 papers) and Protein Hydrolysis and Bioactive Peptides (9 papers). D. Burston collaborates with scholars based in United Kingdom, United States and Sweden. D. Burston's co-authors include D. M. Matthews, Jill M. Addison, Elizabeth Johnston Taylor, Timothy C. Marrs, D. B. A. Silk, Stephen Wilkinson, Marvin H. Sleisenger, M. L. Clark, Tuomas Sopanen and Jessie Payne and has published in prestigious journals such as Gastroenterology, PLANT PHYSIOLOGY and FEBS Letters.

In The Last Decade

D. Burston

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Burston United Kingdom 21 502 312 296 230 177 60 1.3k
J. R. Bronk United Kingdom 24 786 1.6× 252 0.8× 275 0.9× 377 1.6× 223 1.3× 72 1.6k
G D Luk United States 23 1.0k 2.0× 235 0.8× 208 0.7× 143 0.6× 462 2.6× 47 1.8k
Ward A. Olsen United States 21 395 0.8× 281 0.9× 101 0.3× 293 1.3× 87 0.5× 46 1.3k
Christiane Malo Canada 23 481 1.0× 522 1.7× 249 0.8× 166 0.7× 152 0.9× 50 1.5k
J. Vincent Netherlands 20 371 0.7× 134 0.4× 79 0.3× 133 0.6× 181 1.0× 109 1.3k
Yasuo Natori Japan 18 516 1.0× 116 0.4× 110 0.4× 133 0.6× 91 0.5× 77 1.1k
Maurice J. Weidemann Australia 19 636 1.3× 132 0.4× 86 0.3× 287 1.2× 90 0.5× 31 1.4k
Jill M. Addison United Kingdom 12 245 0.5× 202 0.6× 171 0.6× 150 0.7× 104 0.6× 20 663
Martin Foltz Netherlands 20 837 1.7× 219 0.7× 252 0.9× 191 0.8× 348 2.0× 28 1.6k
G. E. Milo United States 16 402 0.8× 193 0.6× 117 0.4× 84 0.4× 173 1.0× 35 956

Countries citing papers authored by D. Burston

Since Specialization
Citations

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

Fields of papers citing papers by D. Burston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

20 of 20 papers shown
1.
Burston, D.. (2019). In Depth Sport Psychology. 2 indexed citations
2.
Wierzbicki, Anthony S., Matthew D. Lloyd, D. Burston, et al.. (2003). Metabolism of phytanic acid and 3-methyl-adipic acid excretion in patients with adult Refsum disease. Journal of Lipid Research. 44(8). 1481–1488. 31 indexed citations
3.
MORRIS, N. H., D. Burston, B. Ramsay, & S.R. Sooranna. (1995). Free amino acid concentrations in normal and abnormal third trimester placental villi. European Journal of Clinical Investigation. 25(10). 796–798. 8 indexed citations
4.
Brueton, M J, et al.. (1994). Studies of water movement across the gut using oral rehydration solutions in a rat perfusion model. Alimentary Pharmacology & Therapeutics. 8(5). 555–558. 4 indexed citations
5.
Sooranna, Suren R., D. Burston, B. Ramsay, & Philip Steer. (1994). Free amino acid concentrations in human first and third trimester placental villi. Placenta. 15(7). 747–751. 12 indexed citations
6.
Brueton, M J, et al.. (1994). Evaluation of the Effects of Varying Solute Content on the Efficacy of Oral Rehydration Solutions in a Rat Model of Secretory Diarrhoea. Journal of Pediatric Gastroenterology and Nutrition. 18(4). 457–460. 10 indexed citations
7.
Mitton, Sally G., et al.. (1993). Plasma amino acid profiles in preterm infants receiving vamin 9 glucose or vamin infant. Early Human Development. 32(1). 71–78. 3 indexed citations
8.
Plumb, Jane A., et al.. (1987). A comparison of the structural integrity of several commonly used preparations of rat small intestine in vitro. Clinical Science. 73(1). 53–59. 28 indexed citations
9.
Taylor, Elizabeth Johnston, D. Burston, & D. M. Matthews. (1980). Influx of Glycylsarcosine and l-Lysyl-l-Lysine into Hamster Jejunum in Vitro. Clinical Science. 58(3). 221–225. 19 indexed citations
10.
Lindblad, B. S., Andreas Baum, D. Burston, et al.. (1979). Absorption of Di‐ and Tripeptides by the Intestine of the Guinea‐Pig. Novartis Foundation symposium. 189–200. 3 indexed citations
11.
Sopanen, Tuomas, D. Burston, Elizabeth Johnston Taylor, & D. M. Matthews. (1978). Uptake of Glycylglycine by the Scutellum of Germinating Barley Grain. PLANT PHYSIOLOGY. 61(4). 630–633. 32 indexed citations
12.
Addison, Jill M., D. Burston, D. M. Matthews, Jessie Payne, & Stephen Wilkinson. (1975). Competition between the Tripeptide Glycylsarcosylsarcosine and other Di- and Tripeptides for Uptake by Hamster Jejunum in Vitro. Clinical Science. 48(1). 5P–6P. 3 indexed citations
13.
Leonard, J V, Timothy C. Marrs, Jill M. Addison, et al.. (1974). Absorption of Amino Acids and Peptides in Hartnup Disease. Clinical Science. 46(2). 15P–15P. 1 indexed citations
14.
Addison, Jill M., D. M. Matthews, & D. Burston. (1974). Competition between Carnosine and other Peptides for Transport by Hamster Jejunum in Vitro. Clinical Science. 46(6). 707–714. 35 indexed citations
15.
Burston, D., et al.. (1974). Proceedings: Transport of the tripeptide beta-alanyl-glycyl-glycine by hamster jejunum in vitro.. PubMed. 46(1). 5P–6P. 2 indexed citations
16.
Silk, D. B. A., et al.. (1973). Absorption of Amino Acids from an Amino Acid Mixture Simulating Casein and a Tryptic Hydrolysate of Casein in Man. Clinical Science. 45(5). 715–719. 34 indexed citations
17.
Addison, Jill M., D. Burston, & D. M. Matthews. (1973). Carnosine Transport by Hamster Jejunum In Vitro and its Inhibition by other DI- and Tripeptides. Clinical Science. 45(1). 3P–4P. 9 indexed citations
18.
Burston, D., Jill M. Addison, & D. M. Matthews. (1972). Uptake of Dipeptides Containing Basic and Acidic Amino Acids by Rat Small Intestine in Vitro. Clinical Science. 43(6). 823–837. 51 indexed citations
19.
Torkington, P., R. J. Harrison, N. F. Maclagan, & D. Burston. (1970). Familial Thyroxine-binding Globulin Deficiency. BMJ. 3(5713). 27–29. 21 indexed citations
20.
Cooke, K. B., et al.. (1961). The chromatography of normal serum proteins. Biochemical Journal. 80(2). 284–292. 19 indexed citations

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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