IF Godsland

20 papers receiving 637 citations

Peers

IF Godsland
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 329
  • Public Health, Environmental and Occupational Health 146
  • Epidemiology 137
  • Physiology 130
  • Cardiology and Cardiovascular Medicine 106
Replace G Buonanno with:
G Buonanno Italy
Marie‐Hélène Gannagé‐Yared Lebanon
R H Neary United Kingdom
Thomas G. Elliott Canada
Dagmar Horáková Czechia
Annalisa Giandalia Italy
Canan Ersoy Türkiye
C Desaive Belgium
Yijuan Sun United States
Peter Galloway United Kingdom
IF Godsland relative to G Buonanno Italy G Buonanno's profile →
Citations per field
00.5×
G Buonanno · 1×
Citations per year

Countries citing papers authored by IF Godsland

Since Specialization
Citations

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

Fields of papers citing papers by IF Godsland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of IF Godsland

This figure shows the co-authorship network connecting the top 25 collaborators of IF Godsland. A scholar is included among the top collaborators of IF Godsland 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 IF Godsland. IF Godsland 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
Does the addition of glucagon to a closed loop system impact on post exercise glycaemia
1
2
Do risk factors measured 20 years previously predict and explain ethnic differences in HbA1c among non-diabetic British South Asians, African Caribbeans and Europeans?
1
3 101
4 88
5 77
6 3
7 29
8 18
9
Oral versus transdermal hormone replacement therapy.
46
10 34
11 4
12 3
13 11
14 28
15 20
16 26
17 27
18
Effect of high and low-carbohydrate diets on nitrogen balance during calorie restriction in obese subjects.
6
19
The influence on oral contraceptive formulation on carbohydrate and lipid metabolism.
14
20 152

About IF Godsland

IF Godsland is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Geriatrics and Gerontology, having authored 20 papers that have together received 689 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (329 citations), Reproductive Medicine (100 citations) and Hepatology (69 citations). IF Godsland has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include V. Wynn, J. Court Stevenson, Mary Seed, J. R. Melrose, R. Niththyananthan, N. W. Oakley, Peter Adams, David Crook, C. Walton and H. S. Jacobs. Their work appears in journals such as New England Journal of Medicine, The Lancet and The Journal of Clinical Endocrinology & 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.

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