M. Noakes
Impact in
- Reproductive Medicine top 2%
- Ovarian function and disorders
- Ovarian cancer diagnosis and treatment
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- Hormonal and reproductive studies
- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Diet, Metabolism, and Disease 2
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- Lipid metabolism and disorders 2
- Co-authors
- Peter Clifton (8 shared papers)Robert J. Norman (2 shared papers)Lisa Moran (2 shared papers)L. Tomlinson (1 shared paper)Jonathan D. Buckley (3 shared papers)Grant D. Brinkworth (3 shared papers)Thomas P. Wycherley (1 shared paper)Rebecca L. Thomson (1 shared paper)
In The Last Decade
M. Noakes
9 papers receiving 608 citations
Peers
Comparison fields: 5 of 61
- Reproductive Medicine 399
- Endocrinology, Diabetes and Metabolism 176
- Public Health, Environmental and Occupational Health 276
- Obstetrics and Gynecology 43
- Physiology 137
Countries citing papers authored by M. Noakes
This map shows the geographic impact of M. Noakes'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 M. Noakes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Noakes more than expected).
Fields of papers citing papers by M. Noakes
This network shows the impact of papers produced by M. Noakes. 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 M. Noakes. The network helps show where M. Noakes may publish in the future.
Co-authors
The 19 scholars most cited alongside M. Noakes, 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 | 2003 | 380 | |
| 2 | 2008 | 100 | |
| 3 | 2009 | 75 | |
| 4 | 1995 | 27 | |
| 5 | 1998 | 20 | |
| 6 | 2000 | 19 | |
| 7 | 1997 | 8 | |
| 8 | Restriction fragment length polymorphism of the apolipoprotein B gene and response to dietary fat and cholesterol. | 1995 | 8 |
| 9 | 2014 | 2 |
About M. Noakes
M. Noakes is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Reproductive Medicine, having authored 9 papers that have together received 639 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diet, Metabolism, and Disease (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Diet and metabolism studies (2 papers), Lipid metabolism and disorders (2 papers), Ovarian function and disorders (2 papers), Genetic Associations and Epidemiology (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Reproductive Medicine (399 citations), Endocrinology, Diabetes and Metabolism (176 citations), Public Health, Environmental and Occupational Health (276 citations), Obstetrics and Gynecology (43 citations) and Physiology (137 citations). M. Noakes has collaborated with scholars based in Australia and France. Frequent co-authors include Peter Clifton, Robert J. Norman, Lisa Moran, L. Tomlinson, Jonathan D. Buckley, Grant D. Brinkworth, Thomas P. Wycherley, Rebecca L. Thomson, Karen L. Kind and Mavis Abbey. Their work appears in journals such as Diabetes Obesity and Metabolism, Clinical and Experimental Pharmacology and Physiology, American Journal of Clinical Nutrition, Atherosclerosis and Arteriosclerosis Thrombosis and Vascular Biology.
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.