Fiona Bragg
Impact in
- Obstetrics and Gynecology top 5%
- Maternal and Perinatal Health Interventions
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Co-authors
- Zhengming Chen (35 shared papers)Liming Li (32 shared papers)Canqing Yu (31 shared papers)Ling Yang (28 shared papers)Zheng Bian (19 shared papers)Yiping Chen (26 shared papers)Junshi Chen (24 shared papers)Michael V. Holmes (18 shared papers)
- Journals
- BMJ Open (4 papers)Nutrition & Metabolism (4 papers)BMJ Open Diabetes Research & Care (4 papers)PLoS Medicine (4 papers)Diabetologia (3 papers)
- Partner nations
- United KingdomChinaIndia
In The Last Decade
Fiona Bragg
56 papers receiving 1.8k citations
Fiona Bragg's Hit Papers
Peers
Comparison fields: 5 of 115
- Obstetrics and Gynecology 152
- Endocrinology, Diabetes and Metabolism 272
- Epidemiology 250
- Physiology 158
- 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China Hit paper breakdown → | 2017 | 377 |
| 2 | 2010 | 218 | |
| 3 | 2018 | 125 | |
| 4 | 2018 | 86 | |
| 5 | 2017 | 78 | |
| 6 | 2018 | 78 | |
| 7 | 2022 | 66 | |
| 8 | 2018 | 53 | |
| 9 | 2018 | 46 | |
| 10 | 2013 | 42 | |
| 11 | 2019 | 36 | |
| 12 | 2016 | 34 | |
| 13 | 2019 | 33 | |
| 14 | 2016 | 32 | |
| 15 | 2016 | 32 | |
| 16 | 2019 | 32 | |
| 17 | 2018 | 31 | |
| 18 | 2017 | 29 | |
| 19 | 2017 | 28 | |
| 20 | 2019 | 27 |
About Fiona Bragg
Fiona Bragg is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology and General Health Professions, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Health disparities and outcomes (3 papers), Genetic Associations and Epidemiology (3 papers), Nutritional Studies and Diet (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Obstetrics and Gynecology (152 citations), Endocrinology, Diabetes and Metabolism (272 citations), Epidemiology (250 citations), Physiology (158 citations) and Oncology (139 citations). Fiona Bragg has collaborated with scholars based in United Kingdom, China and India. Frequent co-authors include Zhengming Chen, Liming Li, Canqing Yu, Ling Yang, Zheng Bian, Yiping Chen, Junshi Chen, Michael V. Holmes, Huaidong Du and Robert Clarke. Their work appears in journals such as BMJ Open, Nutrition & Metabolism, BMJ Open Diabetes Research & Care, PLoS Medicine and Diabetologia.
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.