Fiona Bragg
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Genetics top 2%
- Genetic Associations and Epidemiology
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 11
- Genetics 15
- Genetic Associations and Epidemiology 14
- Co-authors
- Zhengming Chen (37 shared papers)Liming Li (34 shared papers)Canqing Yu (31 shared papers)Ling Yang (29 shared papers)Yiping Chen (27 shared papers)Zheng Bian (19 shared papers)Junshi Chen (26 shared papers)Michael Vaclav Holmes (18 shared papers)
- Journals
- PLoS Medicine (5 papers)Diabetes Care (4 papers)BMJ Open (4 papers)The Lancet Public Health (4 papers)International Journal of Epidemiology (4 papers)
- Partner nations
- United KingdomChinaMexico
In The Last Decade
Fiona Bragg
81 papers receiving 4.0k citations
Fiona Bragg's Hit Papers
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 395
- Genetics 635
- Obstetrics and Gynecology 177
- Epidemiology 283
- Oncology 139
Countries citing papers authored by Fiona Bragg
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
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-authors
The 25 scholars most cited alongside Fiona Bragg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation Hit paper breakdown → | 2022 | 450 |
| 2 | Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China Hit paper breakdown → | 2017 | 401 |
| 3 | Identification of type 2 diabetes loci in 433,540 East Asian individuals Hit paper breakdown → | 2020 | 333 |
| 4 | Genetic drivers of heterogeneity in type 2 diabetes pathophysiology Hit paper breakdown → | 2024 | 296 |
| 5 | Mortality and recurrent vascular events after first incident stroke: a 9-year community-based study of 0·5 million Chinese adults Hit paper breakdown → | 2020 | 239 |
| 6 | 2010 | 223 | |
| 7 | 2018 | 142 | |
| 8 | 2018 | 138 | |
| 9 | 2021 | 131 | |
| 10 | 2017 | 108 | |
| 11 | 2018 | 93 | |
| 12 | 2017 | 85 | |
| 13 | 2018 | 85 | |
| 14 | 2022 | 85 | |
| 15 | 2018 | 78 | |
| 16 | 2018 | 71 | |
| 17 | 2023 | 66 | |
| 18 | 2018 | 57 | |
| 19 | 2020 | 57 | |
| 20 | 2019 | 53 |
About Fiona Bragg
Fiona Bragg is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Epidemiology, Oncology and Health, having authored 93 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Liver Disease Diagnosis and Treatment (4 papers), Nutritional Studies and Diet (3 papers), Cancer Risks and Factors (3 papers), Blood Pressure and Hypertension Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Physical Activity and Health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (395 citations), Genetics (635 citations), Obstetrics and Gynecology (177 citations), Epidemiology (283 citations) and Oncology (139 citations). Fiona Bragg has collaborated with scholars based in United Kingdom, China and Mexico. Frequent co-authors include Zhengming Chen, Liming Li, Canqing Yu, Ling Yang, Yiping Chen, Zheng Bian, Junshi Chen, Michael Vaclav Holmes, Huaidong Du and Robert Clarke. Their work appears in journals such as PLoS Medicine, Diabetes Care, BMJ Open, The Lancet Public Health and International Journal of Epidemiology.
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.