Dave Halliday

178 papers receiving 6.7k citations

Peers

Dave Halliday
Comparison fields: 5 of 124
  • Cell Biology 2.8k
  • Nutrition and Dietetics 1.2k
  • Clinical Biochemistry 412
  • Endocrinology, Diabetes and Metabolism 905
  • Physiology 1.2k
Replace Errol B. Marliss with:
Errol B. Marliss Canada
Bettina Mittendorfer United States
G. Lynis Dohm United States
Peter Darrell Neufer United States
O E Owen United States
Gerrit van Hall Denmark
George F. Cahill United States
Thomas T. Aoki United States
Rosa Hendler United States
Michael J. Rennie United Kingdom
Dave Halliday relative to Errol B. Marliss Canada Errol B. Marliss's profile →
Citations per field
00.5×2×3.0×
Errol B. Marliss · 1×
Citations per year

Countries citing papers authored by Dave Halliday

Since Specialization
Citations

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

Fields of papers citing papers by Dave Halliday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989402
2 1982394
3 1981252
4 1987202
5 1987192
6 1989186
7 1988175
8 1983167
9 1981166
10 1988158
11 1993155
12 1984152
13 1977151
14 1988136
15 1979135
16 1965126
17 1985116
18 1975114
19 1983111
20 1984110

About Dave Halliday

Dave Halliday is a scholar working on Cell Biology, Nutrition and Dietetics, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 181 papers that have together received 7.6k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (85 papers), Clinical Nutrition and Gastroenterology (25 papers), Metabolism and Genetic Disorders (18 papers), Body Composition Measurement Techniques (10 papers), Lipid metabolism and disorders (8 papers), Amino Acid Enzymes and Metabolism (7 papers), Diabetes Management and Research (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). The work is most often cited by research in Cell Biology (2.8k citations), Nutrition and Dietetics (1.2k citations), Clinical Biochemistry (412 citations), Endocrinology, Diabetes and Metabolism (905 citations) and Physiology (1.2k citations). Dave Halliday has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include D. J. Millward, K. Sreekumaran Nair, John S Garrow, M. J. Rennie, Paul J. Pacy, R. H. T. Edwards, Dwight E. Matthews, G. C. Ford, Kaipeng Cheng and A J W Sim. Their work appears in journals such as Clinical Science, American Journal of Clinical Nutrition, The Lancet, European Journal of Pediatrics and American Journal of Physiology-Endocrinology and Metabolism.

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.

Explore authors with similar magnitude of impact