IF Godsland

974 total citations
20 papers, 689 citations indexed

About

IF Godsland is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, IF Godsland has authored 20 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in IF Godsland's work include Hormonal and reproductive studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Management and Research (3 papers). IF Godsland is often cited by papers focused on Hormonal and reproductive studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Management and Research (3 papers). IF Godsland collaborates with scholars based in United Kingdom, France and United States. IF Godsland's co-authors include V. Wynn, J. Court Stevenson, Mary Seed, J. R. Melrose, R. Niththyananthan, Peter Adams, N. W. Oakley, David Crook, C. Walton and H. S. Jacobs and has published in prestigious journals such as New England Journal of Medicine, The Lancet and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

IF Godsland

20 papers receiving 637 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
IF Godsland United Kingdom 13 329 146 137 130 106 20 689
G Buonanno Italy 8 454 1.4× 98 0.7× 177 1.3× 201 1.5× 197 1.9× 20 827
R H Neary United Kingdom 13 358 1.1× 67 0.5× 46 0.3× 79 0.6× 177 1.7× 28 678
Marie‐Hélène Gannagé‐Yared Lebanon 15 243 0.7× 179 1.2× 325 2.4× 192 1.5× 91 0.9× 53 1.3k
Thomas G. Elliott Canada 12 365 1.1× 35 0.2× 112 0.8× 83 0.6× 174 1.6× 28 728
Dagmar Horáková Czechia 12 232 0.7× 119 0.8× 209 1.5× 154 1.2× 88 0.8× 52 741
Canan Ersoy Türkiye 16 315 1.0× 117 0.8× 81 0.6× 91 0.7× 65 0.6× 90 768
Daniel Lorber United States 14 411 1.2× 35 0.2× 68 0.5× 103 0.8× 116 1.1× 24 792
Peter Galloway United Kingdom 14 107 0.3× 61 0.4× 99 0.7× 140 1.1× 41 0.4× 40 706
Jorge Nahás-Neto Brazil 17 129 0.4× 141 1.0× 77 0.6× 196 1.5× 42 0.4× 43 753
Annalisa Giandalia Italy 17 397 1.2× 59 0.4× 117 0.9× 98 0.8× 80 0.8× 45 743

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
1.
Reddy, Monika, Narvada Jugnee, Mohamed El Sharkawy, et al.. (2016). Does the addition of glucagon to a closed loop system impact on post exercise glycaemia. Spiral (Imperial College London). 1 indexed citations
2.
Tillin, Therese, et al.. (2013). Do risk factors measured 20 years previously predict and explain ethnic differences in HbA1c among non-diabetic British South Asians, African Caribbeans and Europeans?. UCL Discovery (University College London). 1 indexed citations
3.
Mostafa, Aya, M.K. Mohamed, Arnaud Fontanet, et al.. (2010). Hepatitis C infection and clearance: impact on atherosclerosis and cardiometabolic risk factors. Gut. 59(8). 1135–1140. 101 indexed citations
4.
Doehner, Wolfram, Mathias Rauchhaus, IF Godsland, et al.. (2001). Leptin, insulin sensitivity and growth hormone binding protein in chronic heart failure with and without cardiac cachexia. European Journal of Endocrinology. 145(6). 727–735. 88 indexed citations
5.
Godsland, IF & J. Court Stevenson. (1995). Insulin resistance: syndrome or tendency?. The Lancet. 346(8967). 100–103. 77 indexed citations
6.
7.
Godsland, IF, et al.. (1994). Associations between insulin sensitivity, and free fatty acid and triglyceride metabolism independent of uncomplicated obesity. Metabolism. 43(10). 1275–1281. 29 indexed citations
8.
Godsland, IF, David Crook, M. Worthington, et al.. (1993). Effects of a low-estrogen, desogestrel-containing oral contraceptive on lipid and carbohydrate metabolism. Contraception. 48(3). 217–227. 18 indexed citations
9.
Crook, David, et al.. (1993). Oral versus transdermal hormone replacement therapy.. PubMed. 38 Suppl 1. 30–5. 46 indexed citations
10.
Walton, C., IF Godsland, Anthony J. Proudler, Carl V. Felton, & V. Wynn. (1992). Effect of body mass index and fat distribution on insulin sensitivity, secretion, and clearance in nonobese healthy men.. The Journal of Clinical Endocrinology & Metabolism. 75(1). 170–175. 34 indexed citations
11.
Crook, David, IF Godsland, & V. Wynn. (1992). Cholesterol, Apolipoproteins, and the Risk of Myocardial Infarction. New England Journal of Medicine. 326(7). 490–492. 4 indexed citations
12.
Godsland, IF, David Crook, R Simpson, et al.. (1991). The effects of different formulations of oral contraceptive agents on lipid and carbohydrate metabolism. International Journal of Gynecology & Obstetrics. 36(1). 86–87. 11 indexed citations
13.
Crook, David, Julia Montgomery, IF Godsland, et al.. (1991). Lipid and Carbohydrate Metabolism in Premenopausal Women Given Subdermal Estradiol Implants. Hormone and Metabolic Research. 23(4). 174–177. 3 indexed citations
14.
Godsland, IF, et al.. (1986). Insulin action and dynamics modelled in patients taking the anabolic steroid methandienone (Dianabol). Clinical Science. 71(6). 665–673. 28 indexed citations
15.
Wynn, V., IF Godsland, Mary Seed, & H. S. Jacobs. (1986). PARADOXICAL EFFECTS OF THE ANTI‐ANDROGEN CYPROTERONE ACETATE ON LIPID AND LIPOPROTEIN METABOLISM. Clinical Endocrinology. 24(2). 183–191. 20 indexed citations
16.
Godsland, IF. (1985). Intra-Individual Variation: Significant Changes in Parameters of Lipid and Carbohydrate Metabolism in the Individual and Intra-Individual Variation in Different Test Populations. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 22(6). 618–624. 26 indexed citations
17.
Seed, Mary, IF Godsland, V. Wynn, & H. S. Jacobs. (1984). THE EFFECTS OF CYPROTERONE ACETATE AND ETHINYL OESTRADIOL ON CARBOHYDRATE METABOLISM. Clinical Endocrinology. 21(6). 689–699. 27 indexed citations
18.
Davie, M., et al.. (1982). Effect of high and low-carbohydrate diets on nitrogen balance during calorie restriction in obese subjects.. PubMed. 6(5). 457–62. 6 indexed citations
19.
Godsland, IF, et al.. (1980). The influence on oral contraceptive formulation on carbohydrate and lipid metabolism.. PubMed. 3(2). 54–63. 14 indexed citations
20.
Wynn, V., IF Godsland, R. Niththyananthan, et al.. (1979). COMPARISON OF EFFECTS OF DIFFERENT COMBINED ORAL-CONTRACEPTIVE FORMULATIONS ON CARBOHYDRATE AND LIPID METABOLISM. The Lancet. 313(8125). 1045–1049. 152 indexed citations

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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