J. A. Lovegrove

522 total citations
27 papers, 405 citations indexed

About

J. A. Lovegrove is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Genetics. According to data from OpenAlex, J. A. Lovegrove has authored 27 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 12 papers in Physiology and 6 papers in Genetics. Recurrent topics in J. A. Lovegrove's work include Nutritional Studies and Diet (11 papers), Diet and metabolism studies (9 papers) and Consumer Attitudes and Food Labeling (7 papers). J. A. Lovegrove is often cited by papers focused on Nutritional Studies and Diet (11 papers), Diet and metabolism studies (9 papers) and Consumer Attitudes and Food Labeling (7 papers). J. A. Lovegrove collaborates with scholars based in United Kingdom, Ireland and Spain. J. A. Lovegrove's co-authors include T. W. George, Ditte A. Hobbs, Lisa Methven, Yannan Jin, Michael H. Gordon, Rachel Gitau, Françoise Dignat‐George, Stéphane Robert, Helen M. Roche and Jolene McMonagle and has published in prestigious journals such as International Journal of Obesity, Food Research International and European Journal of Clinical Nutrition.

In The Last Decade

J. A. Lovegrove

23 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. A. Lovegrove United Kingdom 11 101 86 78 78 71 27 405
Hansongyi Lee South Korea 9 118 1.2× 70 0.8× 85 1.1× 75 1.0× 29 0.4× 14 423
Patrícia Chagas Brazil 12 113 1.1× 52 0.6× 104 1.3× 45 0.6× 42 0.6× 19 378
Ana I. Perez‐Caballero Spain 10 160 1.6× 97 1.1× 161 2.1× 108 1.4× 83 1.2× 11 571
Arsalan Salari Iran 10 70 0.7× 79 0.9× 62 0.8× 32 0.4× 45 0.6× 26 291
Nava Morshedzadeh Iran 10 111 1.1× 107 1.2× 71 0.9× 69 0.9× 30 0.4× 18 444
Koichi Hashimoto Japan 14 74 0.7× 70 0.8× 55 0.7× 38 0.5× 131 1.8× 46 500
Nalinee Chongviriyaphan Thailand 14 57 0.6× 107 1.2× 59 0.8× 185 2.4× 20 0.3× 38 448
Jolene McMonagle Ireland 11 205 2.0× 174 2.0× 138 1.8× 187 2.4× 53 0.7× 14 543
Vesna Dimitrijević-Srećković Serbia 11 152 1.5× 63 0.7× 163 2.1× 109 1.4× 36 0.5× 32 490
Véronique Garneau Canada 14 136 1.3× 134 1.6× 142 1.8× 121 1.6× 17 0.2× 28 503

Countries citing papers authored by J. A. Lovegrove

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Lovegrove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Lovegrove. 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 J. A. Lovegrove. The network helps show where J. A. Lovegrove may publish in the future.

Co-authorship network of co-authors of J. A. Lovegrove

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Lovegrove. A scholar is included among the top collaborators of J. A. Lovegrove 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 J. A. Lovegrove. J. A. Lovegrove 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.
Yılmaz, Ali, Michelle Weech, Kim G. Jackson, & J. A. Lovegrove. (2024). Association between empirically driven dietary patterns and cardiometabolic disease risk factors: A cross-sectional analysis in UK adults. Proceedings of The Nutrition Society. 83(OCE4). 1 indexed citations
2.
Jackson, Kim G., et al.. (2023). Relationship between the consumption of dairy foods and markers of glycaemic control: evidence from the Caerphilly prospective cohort study. Proceedings of The Nutrition Society. 82(OCE1). 1 indexed citations
3.
Clegg, Miriam, et al.. (2023). Pulse-rich diets are associated with higher micronutrient intake and serum micronutrient status in UK children aged 1–18 years. Proceedings of The Nutrition Society. 82(OCE5). 1 indexed citations
4.
Weech, Michelle, et al.. (2023). Associations between diet quality scores and cardiometabolic disease risk markers in healthy adults: A narrative review. Proceedings of The Nutrition Society. 82(OCE1).
5.
6.
Surendran, Shelini, Arif Sabta Aji, Safarina G. Malik, et al.. (2019). A nutrigenetic approach for investigating the relationship between vitamin B12 status and metabolic traits in Indonesian women. Journal of Diabetes & Metabolic Disorders. 18(2). 389–399. 11 indexed citations
7.
Kirwan, Laura, Marianne C. Walsh, Lorraine Brennan, et al.. (2016). Comparison of the portion size and frequency of consumption of 156 foods across seven European countries: insights from the Food4ME study. European Journal of Clinical Nutrition. 70(5). 642–644. 13 indexed citations
8.
Woolhead, Clara, Marianne C. Walsh, Mike Gibney, et al.. (2015). Dietary patterns in Europe: the Food4Me proof of principle study. Proceedings of The Nutrition Society. 74(OCE4). 2 indexed citations
9.
Forster, Hannah, C. A. Drevon, Yannis Μanios, et al.. (2015). Development and automation of a dietary feedback system for the delivery of personalised dietary advice. Proceedings of The Nutrition Society. 74(OCE4). 1 indexed citations
10.
Hobbs, Ditte A., T. W. George, & J. A. Lovegrove. (2014). Differential effect of beetroot bread on postprandial DBP according to Glu298Asp polymorphism in the eNOS gene: a pilot study. Journal of Human Hypertension. 28(12). 726–730. 14 indexed citations
11.
Hobbs, Ditte A., et al.. (2014). The consumer acceptance of novel vegetable-enriched bread products as a potential vehicle to increase vegetable consumption. Food Research International. 58. 15–22. 53 indexed citations
12.
Hobbs, Ditte A., T. W. George, Lisa Methven, & J. A. Lovegrove. (2012). The effects of beetroot containing bread on arterial stiffness and other risk factors for cardiovascular disease. Proceedings of The Nutrition Society. 71(OCE2). 1 indexed citations
13.
Hobbs, Ditte A., T. W. George, J. A. Lovegrove, & Lisa Methven. (2012). Consumer acceptance of novel vegetable containing bread products as a potential vehicle to increase vegetable consumption. Proceedings of The Nutrition Society. 71(OCE2).
14.
15.
Helal, Omama, Catherine Defoort, Stéphane Robert, et al.. (2010). Increased levels of microparticles originating from endothelial cells, platelets and erythrocytes in subjects with metabolic syndrome: Relationship with oxidative stress. Nutrition Metabolism and Cardiovascular Diseases. 21(9). 665–671. 100 indexed citations
16.
Herbert, Georgia, T. W. George, Mary Foong‐Fong Chong, et al.. (2010). Using the theory of planned behaviour to assess if psychosocial determinants of fruit and vegetable intake in a UK adult population change following a dietary intervention. Proceedings of The Nutrition Society. 69(OCE6). 1 indexed citations
17.
Jebb, Susan A., Gary Frost, Bruce A. Griffin, et al.. (2007). The RISCK study: testing the impact of the amount and type of dietary fat and carbohydrate on metabolic risk. Nutrition Bulletin. 32(2). 154–156. 12 indexed citations
18.
Lovegrove, J. A. & Kim G. Jackson. (2004). Functional food, blood lipids and cardiovascular disease. Part 1: probiotics. 1 indexed citations
19.
Lovegrove, J. A., et al.. (2002). Adiposity, insulin and lipid metabolism in post-menopausal women. International Journal of Obesity. 26(4). 475–486. 26 indexed citations
20.

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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