Frederick C. Phillips
Impact in
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- Regulation of Appetite and Obesity
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
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- Adipose Tissue and Metabolism 4
- Diet and metabolism studies 1
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- Fatty Acid Research and Health 5
- Co-authors
- Margot P. Cleary (9 shared papers)Joseph P. Grande (3 shared papers)Nita J. Maihle (3 shared papers)Subhash C. Juneja (2 shared papers)Xin Hu (1 shared paper)Trace Christensen (1 shared paper)O. S. Privett (1 shared paper)Takehiko Takatori (1 shared paper)
- Journals
- Journal of Nutrition (1 paper)British Journal Of Nutrition (1 paper)Breast Cancer Research and Treatment (1 paper)Experimental Biology and Medicine (1 paper)Lipids (2 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Frederick C. Phillips
10 papers receiving 463 citations
Peers
Comparison fields: 5 of 58
- Endocrine and Autonomic Systems 147
- Physiology 167
- Cancer Research 92
- Nutrition and Dietetics 87
- Epidemiology 154
Countries citing papers authored by Frederick C. Phillips
This map shows the geographic impact of Frederick C. Phillips'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 Frederick C. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick C. Phillips more than expected).
Fields of papers citing papers by Frederick C. Phillips
This network shows the impact of papers produced by Frederick C. Phillips. 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 Frederick C. Phillips. The network helps show where Frederick C. Phillips may publish in the future.
Co-authors
The 8 scholars most cited alongside Frederick C. Phillips, 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 | 136 | |
| 2 | 2004 | 125 | |
| 3 | Weight-cycling decreases incidence and increases latency of mammary tumors to a greater extent than does chronic caloric restriction in mouse mammary tumor virus-transforming growth factor-alpha female mice. | 2002 | 118 |
| 4 | 1999 | 26 | |
| 5 | 1991 | 23 | |
| 6 | 1976 | 18 | |
| 7 | 1994 | 18 | |
| 8 | 1999 | 8 | |
| 9 | 1994 | 6 | |
| 10 | 1996 | 4 |
About Frederick C. Phillips
Frederick C. Phillips is a scholar working on Physiology, Nutrition and Dietetics, Epidemiology, Endocrine and Autonomic Systems and Molecular Biology, having authored 10 papers that have together received 482 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (3 papers), Coconut Research and Applications (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Diet and metabolism studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (147 citations), Physiology (167 citations), Cancer Research (92 citations), Nutrition and Dietetics (87 citations) and Epidemiology (154 citations). Frederick C. Phillips has collaborated with scholars based in United States and Japan. Frequent co-authors include Margot P. Cleary, Joseph P. Grande, Nita J. Maihle, Subhash C. Juneja, Xin Hu, Trace Christensen, O. S. Privett and Takehiko Takatori. Their work appears in journals such as Journal of Nutrition, British Journal Of Nutrition, Breast Cancer Research and Treatment, Experimental Biology and Medicine and Lipids.
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.