D. Burston

1.6k citations
60 papers · 1.4k · h-index 23

Impact in

Papers in

D. Burston

59 papers receiving 1.2k citations

Peers

D. Burston
Comparison fields: 5 of 100
  • Biochemistry 190
  • Nutrition and Dietetics 336
  • Clinical Biochemistry 80
  • Oncology 303
  • Cell Biology 178
Replace J. R. Bronk with:
J. R. Bronk United Kingdom
Christiane Malo Canada
Berit Sternby Sweden
Jill M. Addison United Kingdom
J J Cerda United States
D.F. Evered United Kingdom
Martin Foltz Netherlands
G D Luk United States
Ward A. Olsen United States
G. Vallette France
D. Burston relative to J. R. Bronk United Kingdom J. R. Bronk's profile →
Citations per field
00.5×1.5×1.8×
J. R. Bronk · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980129
2 197287
3 199383
4 197572
5 197466
6 197561
7 197358
8 197255
9 197651
10 197548
11 197947
12 197441
13 197041
14 197740
15 197338
16 197837
17 200333
18 198730
19 197528
20 197725

About D. Burston

D. Burston is a scholar working on Molecular Biology, Nutrition and Dietetics, Oncology, Physiology and Gastroenterology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Clinical Nutrition and Gastroenterology (9 papers), Gastroesophageal reflux and treatments (6 papers), Infant Nutrition and Health (5 papers), Digestive system and related health (5 papers), Biochemical effects in animals (5 papers) and Pharmacological Effects of Natural Compounds (5 papers). The work is most often cited by research in Biochemistry (190 citations), Nutrition and Dietetics (336 citations), Clinical Biochemistry (80 citations), Oncology (303 citations) and Cell Biology (178 citations). D. Burston has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent 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 J. W. Payne. Their work appears in journals such as Clinical Science, British Journal of Cancer, Novartis Foundation symposium, British Journal Of Nutrition and Placenta.

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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