Paul J. Nestel
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- Diabetes, Cardiovascular Risks, and Lipoproteins 80
- Diet, Metabolism, and Disease 22
- Nutrition and Dietetics top 0.05%
- Fatty Acid Research and Health 78
- Biochemistry top 0.1%
- Biochemistry top 0.5%
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- Lipoproteins and Cardiovascular Health 82
- Cholesterol and Lipid Metabolism 60
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- Cancer, Lipids, and Metabolism 53
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- Diet and metabolism studies 48
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- Nutritional Studies and Diet 30
- Co-authors
- Noel FidgeMichael ReardonMavis AbbeyPeter CliftonSue WongTimothy BillingtonMurray EslerSylvia Pomeroy
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Paul J. Nestel
313 papers receiving 15.0k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Endocrinology, Diabetes and Metabolism 5.1k
- Nutrition and Dietetics 4.5k
- Biochemistry 1.4k
- Cardiology and Cardiovascular Medicine 3.1k
- Biochemistry 809
Countries citing papers authored by Paul J. Nestel
This map shows the geographic impact of Paul J. Nestel'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 Paul J. Nestel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Nestel more than expected).
Fields of papers citing papers by Paul J. Nestel
This network shows the impact of papers produced by Paul J. Nestel. 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 Paul J. Nestel. The network helps show where Paul J. Nestel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul J. Nestel, 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 | 2024 | 26 | |
| 2 | 2023 | 14 | |
| 3 | 2020 | 26 | |
| 4 | 2019 | 18 | |
| 5 | Abstract 17413: Plasma Lipidomic Profiles in Two Large Independent Cohorts Improve Upon Conventional Risk Factors to Predict Cardiovascular Events | 2016 | 1 |
| 6 | 2015 | 53 | |
| 7 | 2014 | 35 | |
| 8 | 2013 | 46 | |
| 9 | 2012 | 39 | |
| 10 | 2010 | 90 | |
| 11 | 2005 | 7 | |
| 12 | 2002 | 34 | |
| 13 | Lipid Management Guidelines -2001 | 2001 | 71 |
| 14 | Trans fatty acids in the Australian diet | 1994 | 14 |
| 15 | 1994 | 22 | |
| 16 | 1992 | 17 | |
| 17 | 1989 | 75 | |
| 18 | 1989 | 38 | |
| 19 | 1978 | 207 | |
| 20 | 1973 | 68 |
About Paul J. Nestel
Paul J. Nestel is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Biochemistry, Cancer Research and Surgery, having authored 317 papers that have together received 16.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (82 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (80 papers), Fatty Acid Research and Health (78 papers), Cholesterol and Lipid Metabolism (60 papers), Cancer, Lipids, and Metabolism (53 papers), Diet and metabolism studies (48 papers), Nutritional Studies and Diet (30 papers) and Diet, Metabolism, and Disease (22 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.1k citations), Nutrition and Dietetics (4.5k citations), Biochemistry (1.4k citations), Cardiology and Cardiovascular Medicine (3.1k citations) and Biochemistry (809 citations). Paul J. Nestel has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Noel Fidge, Michael Reardon, Mavis Abbey, Peter Clifton, Sue Wong, Timothy Billington, Murray Esler, Sylvia Pomeroy, Dmitri Sviridov and Kerin O’Dea. Their work appears in journals such as Atherosclerosis, Metabolism, Journal of Lipid Research, The Medical Journal of Australia and Journal of Clinical Investigation.
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.