Robert C. Baxter
- Endocrinology, Diabetes and Metabolism top 0.01%
- Growth Hormone and Insulin-like Growth Factors 286
- Pituitary Gland Disorders and Treatments 17
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism 84
- Molecular Biology top 0.2%
- Metabolism, Diabetes, and Cancer 120
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- Lipid metabolism and disorders 44
- Genetics top 0.2%
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- Pancreatic function and diabetes 33
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- Metabolism and Genetic Disorders 19
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- Diet and metabolism studies 17
- Co-authors
- Janet L. MartinSue M. FirthCarolyn D. ScottJohn R. TurtleMoira LewittAlison J. ButtLynette J. SchedlichStephen M. Twigg
- Journals
- Endocrinology (61 papers)The Journal of Clinical Endocrinology & Metabolism (56 papers)Journal of Biological Chemistry (26 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Robert C. Baxter
391 papers receiving 22.3k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Endocrinology, Diabetes and Metabolism 16.0k
- Cancer Research 4.4k
- Molecular Biology 10.4k
- Cardiology and Cardiovascular Medicine 2.9k
- Genetics 3.3k
Countries citing papers authored by Robert C. Baxter
This map shows the geographic impact of Robert C. Baxter'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 Robert C. Baxter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert C. Baxter more than expected).
Fields of papers citing papers by Robert C. Baxter
This network shows the impact of papers produced by Robert C. Baxter. 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 Robert C. Baxter. The network helps show where Robert C. Baxter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert C. Baxter, 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 | 2017 | 27 | |
| 2 | 2014 | 33 | |
| 3 | 2014 | 10 | |
| 4 | 2013 | 62 | |
| 5 | 2012 | 61 | |
| 6 | 2007 | 27 | |
| 7 | 2006 | 38 | |
| 8 | 2003 | 39 | |
| 9 | 2002 | 79 | |
| 10 | 2001 | 2 | |
| 11 | 2001 | 23 | |
| 12 | 1998 | 7 | |
| 13 | 1998 | 39 | |
| 14 | 1997 | 52 | |
| 15 | 1995 | 16 | |
| 16 | 1990 | 12 | |
| 17 | 1989 | 25 | |
| 18 | 1989 | 30 | |
| 19 | 1987 | 14 | |
| 20 | 1966 | 6 |
About Robert C. Baxter
Robert C. Baxter is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Clinical Biochemistry, having authored 397 papers that have together received 22.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (286 papers), Metabolism, Diabetes, and Cancer (120 papers), Cancer, Hypoxia, and Metabolism (84 papers), Lipid metabolism and disorders (44 papers), Pancreatic function and diabetes (33 papers), Metabolism and Genetic Disorders (19 papers), Diet and metabolism studies (17 papers) and Pituitary Gland Disorders and Treatments (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (16.0k citations), Cancer Research (4.4k citations) and Molecular Biology (10.4k citations). Robert C. Baxter has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Janet L. Martin, Sue M. Firth, Carolyn D. Scott, John R. Turtle, Moira Lewitt, Alison J. Butt, Lynette J. Schedlich, Stephen M. Twigg, Patric J. D. Delhanty and Pin Ho. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Journal of Endocrinology.
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.