David Sullivan
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- Diabetes, Cardiovascular Risks, and Lipoproteins 38
- Surgery top 0.2%
- Lipoproteins and Cardiovascular Health 92
- Cholesterol and Lipid Metabolism 13
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- Lipid metabolism and disorders 17
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 29
- Biochemistry top 1%
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- Health Systems, Economic Evaluations, Quality of Life 26
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- Metabolomics and Mass Spectrometry Studies 14
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- Fatty Acid Research and Health 12
David Sullivan
202 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Endocrinology, Diabetes and Metabolism 3.6k
- Surgery 5.5k
- Cardiology and Cardiovascular Medicine 2.5k
- Cancer Research 1.2k
- Biochemistry 467
Countries citing papers authored by David Sullivan
This map shows the geographic impact of David Sullivan'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 David Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sullivan more than expected).
Fields of papers citing papers by David Sullivan
This network shows the impact of papers produced by David Sullivan. 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 David Sullivan. The network helps show where David Sullivan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Sullivan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2019 | 18 | |
| 16 | 2017 | 11 | |
| 17 | Abstract 17413: Plasma Lipidomic Profiles in Two Large Independent Cohorts Improve Upon Conventional Risk Factors to Predict Cardiovascular Events | 2016 | 1 |
| 18 | 2010 | 4 | |
| 19 | 2009 | 89 | |
| 20 | National Heart Foundation of Australia and the Cardiac Society of Australia and New Zealand | 2005 | 55 |
About David Sullivan
David Sullivan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 211 papers that have together received 11.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (92 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers), Cancer, Lipids, and Metabolism (29 papers), Health Systems, Economic Evaluations, Quality of Life (26 papers), Lipid metabolism and disorders (17 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Cholesterol and Lipid Metabolism (13 papers) and Fatty Acid Research and Health (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.6k citations), Surgery (5.5k citations) and Cardiology and Cardiovascular Medicine (2.5k citations). David Sullivan has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Philip J. Barter, Russell Scott, James D. Best, Paul Glasziou, David Hunt, R. John Simes, Marja‐Riitta Taskinen, Christian Ehnholm, M.J. Whiting and Timothy M. E. Davis. Their work appears in journals such as Atherosclerosis, Circulation, The Medical Journal of Australia, Journal of clinical lipidology and Pathology.
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.