David Halliday

7.7k total citations
143 papers, 6.1k citations indexed

About

David Halliday is a scholar working on Cell Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, David Halliday has authored 143 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cell Biology, 62 papers in Physiology and 30 papers in Clinical Biochemistry. Recurrent topics in David Halliday's work include Muscle metabolism and nutrition (65 papers), Diet and metabolism studies (39 papers) and Metabolism and Genetic Disorders (30 papers). David Halliday is often cited by papers focused on Muscle metabolism and nutrition (65 papers), Diet and metabolism studies (39 papers) and Metabolism and Genetic Disorders (30 papers). David Halliday collaborates with scholars based in United Kingdom, United States and Singapore. David Halliday's co-authors include P. J. Pacy, D. J. Millward, J. S. Garrow, G. C. Ford, K. Sreekumaran Nair, R. H. T. Edwards, Michael J. Rennie, Michael J. Rennie, A J W Sim and Kaipeng Cheng and has published in prestigious journals such as Nature, The Lancet and Journal of Clinical Investigation.

In The Last Decade

David Halliday

139 papers receiving 5.7k citations

Peers

David Halliday
Comparison fields: 5 of 159
  • Physiology 3.0k
  • Cell Biology 3.0k
  • Molecular Biology 1.3k
  • Nutrition and Dietetics 896
  • Endocrinology, Diabetes and Metabolism 861
Replace B. Beaufrère with:
B. Beaufrère France
Stephen Welle United States
Thomas C. Vary United States
Peter J. Garlick United States
T. Peter Stein United States
J. Wahren Sweden
Olav Rooyackers Sweden
S. Russ Price United States
Bettina Mittendorfer United States
Benjamin F. Miller United States
B. Beaufrère France View profile →
Citations per field, relative to David Halliday
David Halliday · 1×
Citations per year, relative to David Halliday
David Halliday · 1×

Countries citing papers authored by David Halliday

Since Specialization
Citations

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

Fields of papers citing papers by David Halliday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Halliday

This figure shows the co-authorship network connecting the top 25 collaborators of David Halliday. A scholar is included among the top collaborators of David Halliday 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 Halliday. David Halliday 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
# Work Indexed citations
1 1
2 4
3
The Fhit tumor suppressor protein regulates the intracellular concentration of diadenosine triphosphate but not diadenosine tetraphosphate.
48
4 48
5 15
6 3
7 5
8 100
9 12
10 11
11 5
12 11
13 22
14 29
15 26
16 28
17 139
18 148
19 9
20 15

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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