Grant D. Brinkworth

102 papers receiving 5.6k citations

Hit Papers

Effects of energy-restricted high-protein, low-fat compar...201220262016202120122021100200300400

Peers

Grant D. Brinkworth
Comparison fields: 5 of 130
  • Physiology 3.4k
  • Public Health, Environmental and Occupational Health 2.1k
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Cell Biology 899
  • Reproductive Medicine 732
Replace SoJung Lee with:
SoJung Lee United States
M Krotkiewski Sweden
Ioannis Kyrou United Kingdom
Lesley V. Campbell Australia
Eric C. Westman United States
Natalie D. Luscombe‐Marsh Australia
Catherine W. Yeckel United States
Claudio Maffeis Italy
Ottavio Bosello Italy
Barbara McGowan United Kingdom
Grant D. Brinkworth relative to SoJung Lee United States SoJung Lee's profile →
Citations per field
00.5×4.0×
SoJung Lee · 1×
Citations per year

Countries citing papers authored by Grant D. Brinkworth

Since Specialization
Citations

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

Fields of papers citing papers by Grant D. Brinkworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant D. Brinkworth

This figure shows the co-authorship network connecting the top 25 collaborators of Grant D. Brinkworth. A scholar is included among the top collaborators of Grant D. Brinkworth 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 Grant D. Brinkworth. Grant D. Brinkworth 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
#WorkIndexed citations
1 35
2 28
3 10
4 26
5 44
6
Association of glycemic variability and the anti-glycemic medication effect score in adults with type 2 diabetes
2
7 102
8 17
9 14
10 37
11 32
12 45
13 212
14 75
15 203
16 101
17 126
18 73
19 40
20
Gentamicin and penicillin in the treatment of severe respiratory infections.
2

About Grant D. Brinkworth

Grant D. Brinkworth is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Reproductive Medicine, having authored 103 papers that have together received 5.8k indexed citations. Recurring topics across this work include Diet and metabolism studies (49 papers), Muscle metabolism and nutrition (25 papers) and Nutritional Studies and Diet (23 papers). The work is most often cited by research in Physiology (3.4k citations), Endocrinology, Diabetes and Metabolism (1.7k citations) and Reproductive Medicine (732 citations). Grant D. Brinkworth has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Manny Noakes, Peter Clifton, Jonathan D. Buckley, Thomas P. Wycherley, Jennifer Keogh, Rebecca L. Thomson, Lisa Moran, Campbell Thompson, Natalie D. Luscombe‐Marsh and Gary Wittert. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and American Journal of Clinical Nutrition.

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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