Felipe Henriques
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
- Physiology 18
- Adipose Tissue and Metabolism 16
- Nutrition and Health in Aging 6
- Epidemiology 12
- Adipokines, Inflammation, and Metabolic Diseases 11
- Co-authors
- Adı́lson Guilherme (9 shared papers)Michael Czech (8 shared papers)Alexander H. Bedard (6 shared papers)Miguél L. Batista (10 shared papers)Mark Kelly (6 shared papers)Batuhan Yenilmez (4 shared papers)Rodrigo Xavier das Neves (4 shared papers)Marília Seelaender (3 shared papers)
- Journals
- Cell Reports (3 papers)Journal of Endocrinology (2 papers)Molecular Metabolism (2 papers)Scientific Reports (1 paper)Journal of Cachexia Sarcopenia and Muscle (1 paper)
- Partner nations
- United StatesBrazilFrance
In The Last Decade
Felipe Henriques
18 papers receiving 635 citations
Peers
Comparison fields: 5 of 78
- Physiology 431
- Rehabilitation 68
- Endocrine and Autonomic Systems 58
- Biochemistry 49
- Epidemiology 227
Countries citing papers authored by Felipe Henriques
This map shows the geographic impact of Felipe Henriques'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 Felipe Henriques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Henriques more than expected).
Fields of papers citing papers by Felipe Henriques
This network shows the impact of papers produced by Felipe Henriques. 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 Felipe Henriques. The network helps show where Felipe Henriques may publish in the future.
Co-authors
The 25 scholars most cited alongside Felipe Henriques, 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 | 2019 | 126 | |
| 2 | 2015 | 78 | |
| 3 | 2020 | 57 | |
| 4 | 2017 | 47 | |
| 5 | 2018 | 47 | |
| 6 | 2020 | 40 | |
| 7 | 2018 | 34 | |
| 8 | 2018 | 29 | |
| 9 | 2023 | 28 | |
| 10 | 2017 | 28 | |
| 11 | 2015 | 26 | |
| 12 | 2016 | 26 | |
| 13 | 2020 | 23 | |
| 14 | 2017 | 15 | |
| 15 | 2023 | 14 | |
| 16 | 2017 | 12 | |
| 17 | 2018 | 8 | |
| 18 | 2020 | 3 |
About Felipe Henriques
Felipe Henriques is a scholar working on Physiology, Epidemiology, Molecular Biology, Endocrine and Autonomic Systems and Biochemistry, having authored 18 papers that have together received 641 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Nutrition and Health in Aging (6 papers), Lipid metabolism and biosynthesis (3 papers), Muscle Physiology and Disorders (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Exercise and Physiological Responses (2 papers). The work is most often cited by research in Physiology (431 citations), Rehabilitation (68 citations), Endocrine and Autonomic Systems (58 citations), Biochemistry (49 citations) and Epidemiology (227 citations). Felipe Henriques has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Adı́lson Guilherme, Michael Czech, Alexander H. Bedard, Miguél L. Batista, Mark Kelly, Batuhan Yenilmez, Rodrigo Xavier das Neves, Marília Seelaender, Magno A. Lopes and Jason K. Kim. Their work appears in journals such as Cell Reports, Journal of Endocrinology, Molecular Metabolism, Scientific Reports and Journal of Cachexia Sarcopenia and Muscle.
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.