Fiona Bragg

6.1k total citations · 1 hit paper
60 papers, 1.8k citations indexed

About

Fiona Bragg is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Fiona Bragg has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Epidemiology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Fiona Bragg's work include Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Liver Disease Diagnosis and Treatment (12 papers) and Obesity, Physical Activity, Diet (7 papers). Fiona Bragg is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Liver Disease Diagnosis and Treatment (12 papers) and Obesity, Physical Activity, Diet (7 papers). Fiona Bragg collaborates with scholars based in United Kingdom, China and Mexico. Fiona Bragg's co-authors include Zhengming Chen, Liming Li, Canqing Yu, Ling Yang, Yiping Chen, Zheng Bian, Junshi Chen, Michael V. Holmes, Huaidong Du and Robert Clarke and has published in prestigious journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Fiona Bragg

56 papers receiving 1.7k citations

Hit Papers

Association Between Diabetes and Cause-Specific Mortality... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiona Bragg United Kingdom 22 459 451 299 297 266 60 1.8k
Sang‐Wook Yi South Korea 26 387 0.8× 300 0.7× 160 0.5× 186 0.6× 218 0.8× 97 1.8k
Tingting Geng China 21 281 0.6× 234 0.5× 136 0.5× 418 1.4× 337 1.3× 84 1.6k
Amy M. Mason United Kingdom 28 406 0.9× 337 0.7× 420 1.4× 297 1.0× 266 1.0× 72 2.6k
Heikki Oksa Finland 23 263 0.6× 667 1.5× 178 0.6× 351 1.2× 365 1.4× 64 1.9k
Jeremy Walker United Kingdom 20 405 0.9× 515 1.1× 146 0.5× 413 1.4× 134 0.5× 35 2.0k
Jae Woong Sull South Korea 22 545 1.2× 199 0.4× 309 1.0× 367 1.2× 448 1.7× 60 2.1k
Gary T.C. Ko China 22 316 0.7× 861 1.9× 275 0.9× 322 1.1× 242 0.9× 41 1.7k
Jeffrey A. Henderson United States 21 323 0.7× 517 1.1× 114 0.4× 381 1.3× 247 0.9× 51 2.0k
Elizabeth Robinson New Zealand 25 228 0.5× 563 1.2× 165 0.6× 450 1.5× 455 1.7× 63 2.2k
Christina M. Parrinello United States 19 363 0.8× 502 1.1× 152 0.5× 262 0.9× 186 0.7× 48 1.8k

Countries citing papers authored by Fiona Bragg

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Bragg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Bragg

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Bragg. A scholar is included among the top collaborators of Fiona Bragg 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 Fiona Bragg. Fiona Bragg 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.
Berúmen, Jaime, Jason Torres, Jesús Alegre-Díaz, et al.. (2025). Polygenic prediction of coronary heart disease among 130 000 Mexican adults. European Journal of Preventive Cardiology. 33(3). 415–423.
2.
Mhatre, Sharayu, Fiona Bragg, Nandkumar Panse, et al.. (2024). Cohort Profile: Indian Study of Healthy Ageing (ISHA-Barshi). International Journal of Epidemiology. 53(4). 1 indexed citations
3.
Thomson, Blake, Fiona Bragg, Shoa L. Clarke, et al.. (2024). Abstract 4113475: Association of Age at Diabetes Diagnosis and All-cause and Cardiovascular Mortality among 600,000 US Adults. Circulation. 150(Suppl_1). 1 indexed citations
4.
Coleman, Ruth L., et al.. (2024). Younger-onset compared with later-onset type 2 diabetes: an analysis of the UK Prospective Diabetes Study (UKPDS) with up to 30 years of follow-up (UKPDS 92). The Lancet Diabetes & Endocrinology. 12(12). 904–914. 14 indexed citations
5.
Bragg, Fiona, et al.. (2023). Tumour occurrence in women with Turner syndrome: A narrative review and single‐centre case series. Clinical Endocrinology. 99(1). 64–72.
6.
Alegre-Díaz, Jesús, Fiona Bragg, Eirini Trichia, et al.. (2023). Educational and social inequalities and cause-specific mortality in Mexico City: a prospective study. The Lancet Public Health. 8(9). e670–e679. 10 indexed citations
7.
Bragg, Fiona, Pablo Kuri‐Morales, Jaime Berúmen, et al.. (2023). Diabetes and infectious disease mortality in Mexico City. BMJ Open Diabetes Research & Care. 11(2). e003199–e003199. 3 indexed citations
8.
9.
Bragg, Fiona & Zhengming Chen. (2022). Estimating lifetime risk of diabetes in the Chinese population. PLoS Medicine. 19(7). e1004053–e1004053. 3 indexed citations
10.
Alegre-Díaz, Jesús, Louisa Gnatiuc, Raúl Ramírez-Reyes, et al.. (2022). Body mass index and COVID-19 mortality: prospective study of 120000 Mexican adults. International Journal of Epidemiology. 51(5). 1698–1700. 2 indexed citations
11.
12.
Wang, Hao, Lingli Chen, Yuan Cao, et al.. (2021). Association between frequency of spicy food consumption and hypertension: a cross-sectional study in Zhejiang Province, China. Nutrition & Metabolism. 18(1). 70–70. 19 indexed citations
13.
Bragg, Fiona, Christiana Kartsonaki, Canqing Yu, et al.. (2021). Circulating Metabolites and the Development of Type 2 Diabetes in Chinese Adults. Diabetes Care. 45(2). 477–480. 21 indexed citations
14.
Pang, Yuanjie, Christiana Kartsonaki, Jun Lv, et al.. (2021). Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study. American Journal of Clinical Nutrition. 115(3). 799–810. 15 indexed citations
15.
Vermunt, Jane, Fiona Bragg, Jim Halsey, et al.. (2021). Random plasma glucose levels and cause-specific mortality among Chinese adults without known diabetes: an 11-year prospective study of 450,000 people. BMJ Open Diabetes Research & Care. 9(2). e002495–e002495. 3 indexed citations
16.
Pang, Yuanjie, Christiana Kartsonaki, Iain Turnbull, et al.. (2019). Adiposity in relation to risks of fatty liver, cirrhosis and liver cancer: a prospective study of 0.5 million Chinese adults. Scientific Reports. 9(1). 785–785. 26 indexed citations
18.
Pang, Yuanjie, Christiana Kartsonaki, Iain Turnbull, et al.. (2018). Metabolic and lifestyle risk factors for acute pancreatitis in Chinese adults: A prospective cohort study of 0.5 million people. PLoS Medicine. 15(8). e1002618–e1002618. 51 indexed citations
19.
Bragg, Fiona, Liming Li, Ling Yang, et al.. (2016). Risks and Population Burden of Cardiovascular Diseases Associated with Diabetes in China: A Prospective Study of 0.5 Million Adults. PLoS Medicine. 13(7). e1002026–e1002026. 27 indexed citations
20.
Peters, Sanne A. E., Ling Yang, Canqing Yu, et al.. (2016). Parenthood and the risk of diabetes in men and women: a 7 year prospective study of 0.5 million individuals. Diabetologia. 59(8). 1675–1682. 10 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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