Wagner S. Dantas
- Physiology top 10%
- Molecular Biology
- Surgery
- Public Health, Environmental and Occupational Health
- Reproductive Medicine top 10%
- Co-authors
- John P. KirwanChristopher L. AxelrodBruno GualanoHamilton RoschelIgor Hisashi MuraiAna Lúcia de Sá‐PintoRosa Maria Rodrigues PereiraCristiano Roberto Grimaldi Barcellos
- Topics
- Adipose Tissue and Metabolism (8 papers)Ovarian function and disorders (6 papers)Diet and metabolism studies (6 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Wagner S. Dantas
34 papers receiving 611 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Physiology 311
- Molecular Biology 185
- Surgery 107
- Public Health, Environmental and Occupational Health 97
- Reproductive Medicine 88
Countries citing papers authored by Wagner S. Dantas
This map shows the geographic impact of Wagner S. Dantas'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 Wagner S. Dantas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wagner S. Dantas more than expected).
Fields of papers citing papers by Wagner S. Dantas
This network shows the impact of papers produced by Wagner S. Dantas. 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 Wagner S. Dantas. The network helps show where Wagner S. Dantas may publish in the future.
Co-authorship network of co-authors of Wagner S. Dantas
This figure shows the co-authorship network connecting the top 25 collaborators of Wagner S. Dantas. A scholar is included among the top collaborators of Wagner S. Dantas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wagner S. Dantas. Wagner S. Dantas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | Sarcopenic obesity: emerging mechanisms and therapeutic potentialbreakdown → | 86 |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 61 | |
| 11 | 12 | |
| 12 | 19 | |
| 13 | 15 | |
| 14 | 56 | |
| 15 | 21 | |
| 16 | 22 | |
| 17 | 18 | |
| 18 | 10 | |
| 19 | 12 | |
| 20 | 16 |
About Wagner S. Dantas
Wagner S. Dantas is a scholar working on Physiology, Reproductive Medicine and Aging, having authored 35 papers that have together received 619 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Ovarian function and disorders (6 papers) and Diet and metabolism studies (6 papers). The work is most often cited by research in Physiology (311 citations), Reproductive Medicine (88 citations) and Geriatrics and Gerontology (19 citations). Wagner S. Dantas has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include John P. Kirwan, Christopher L. Axelrod, Bruno Gualano, Hamilton Roschel, Igor Hisashi Murai, Ana Lúcia de Sá‐Pinto, Rosa Maria Rodrigues Pereira, Cristiano Roberto Grimaldi Barcellos, Saulo Gil and Charles L. Hoppel. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & 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.