Aníbal Sanchez Moura
- Physiology top 10%
- Adipose Tissue and Metabolism 13
- Diet and metabolism studies 7
- Nutrition and Dietetics top 5%
- Infant Nutrition and Health 5
- Fatty Acid Research and Health 5
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- Birth, Development, and Health 20
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity 6
- Biochemistry top 10%
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- Obesity, Physical Activity, Diet 10
- Nutritional Studies and Diet 6
- Co-authors
- Rosely SichieriMaria Conceição de OliveiraWalter C. WillettRenata O. PereiraAnnie Seixas Bello MoreiraFrank B. HuMarta Sampaio de FreitasVirginia Genelhu
- Journals
- American Journal of Clinical Nutrition (1 paper)Experimental Cell Research (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)
- Partner nations
- BrazilRussiaUnited States
In The Last Decade
Aníbal Sanchez Moura
48 papers receiving 939 citations
Peers
Comparison fields: 5 of 95
- Physiology 342
- Nutrition and Dietetics 196
- Pediatrics, Perinatology and Child Health 249
- Endocrine and Autonomic Systems 84
- Biochemistry 66
Countries citing papers authored by Aníbal Sanchez Moura
This map shows the geographic impact of Aníbal Sanchez Moura'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 Aníbal Sanchez Moura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aníbal Sanchez Moura more than expected).
Fields of papers citing papers by Aníbal Sanchez Moura
This network shows the impact of papers produced by Aníbal Sanchez Moura. 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 Aníbal Sanchez Moura. The network helps show where Aníbal Sanchez Moura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aníbal Sanchez Moura, 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 | 2018 | 6 | |
| 2 | 2018 | 6 | |
| 3 | 2017 | 12 | |
| 4 | 2015 | 12 | |
| 5 | 2014 | 13 | |
| 6 | 2012 | 14 | |
| 7 | 2010 | 21 | |
| 8 | 2010 | 34 | |
| 9 | 2009 | 16 | |
| 10 | 2009 | 23 | |
| 11 | 2008 | 53 | |
| 12 | 2008 | 22 | |
| 13 | 2007 | 27 | |
| 14 | 2006 | 17 | |
| 15 | 2004 | 24 | |
| 16 | 2004 | 3 | |
| 17 | 2004 | 21 | |
| 18 | 2003 | 23 | |
| 19 | 2003 | 91 | |
| 20 | 2002 | 11 |
About Aníbal Sanchez Moura
Aníbal Sanchez Moura is a scholar working on Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Physiology, having authored 49 papers that have together received 968 indexed citations. Recurring topics across this work include Birth, Development, and Health (20 papers), Adipose Tissue and Metabolism (13 papers), Obesity, Physical Activity, Diet (10 papers), Diet and metabolism studies (7 papers), Nutritional Studies and Diet (6 papers), Regulation of Appetite and Obesity (6 papers), Infant Nutrition and Health (5 papers) and Fatty Acid Research and Health (5 papers). The work is most often cited by research in Physiology (342 citations), Nutrition and Dietetics (196 citations) and Pediatrics, Perinatology and Child Health (249 citations). Aníbal Sanchez Moura has collaborated with scholars based in Brazil, Russia and United States. Frequent co-authors include Rosely Sichieri, Maria Conceição de Oliveira, Walter C. Willett, Renata O. Pereira, Annie Seixas Bello Moreira, Frank B. Hu, Marta Sampaio de Freitas, Virginia Genelhu, Erika Cortez and Mariana Renovato‐Martins. Their work appears in journals such as American Journal of Clinical Nutrition, Experimental Cell Research and American Journal of Physiology-Endocrinology and Metabolism.
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.