Jorge Nahas-Neto
- Physiology
- Public Health, Environmental and Occupational Health
- Endocrinology, Diabetes and Metabolism
- Orthopedics and Sports Medicine top 10%
- Molecular Biology
- Co-authors
- Eliana Aguiar Petri NahásFábio Lera OrsattiNaílza MaestáRoberto Carlos BuriniPaulo TraimanCláudio Lera OrsattiCésar Eduardo FernandesGilberto Uemura
- Topics
- Nutrition and Health in Aging (6 papers)Bone health and osteoporosis research (4 papers)Exercise and Physiological Responses (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Strength and Conditioning ResearchMolecular Immunology
- Partner nations
- BrazilUnited States
In The Last Decade
Jorge Nahas-Neto
19 papers receiving 418 citations
Peers
Comparison fields: 5 of 67
- Physiology 176
- Public Health, Environmental and Occupational Health 97
- Endocrinology, Diabetes and Metabolism 82
- Orthopedics and Sports Medicine 71
- Molecular Biology 62
Countries citing papers authored by Jorge Nahas-Neto
This map shows the geographic impact of Jorge Nahas-Neto'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 Jorge Nahas-Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Nahas-Neto more than expected).
Fields of papers citing papers by Jorge Nahas-Neto
This network shows the impact of papers produced by Jorge Nahas-Neto. 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 Jorge Nahas-Neto. The network helps show where Jorge Nahas-Neto may publish in the future.
Co-authorship network of co-authors of Jorge Nahas-Neto
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Nahas-Neto. A scholar is included among the top collaborators of Jorge Nahas-Neto 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 Jorge Nahas-Neto. Jorge Nahas-Neto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 39 | |
| 9 | 26 | |
| 10 | 6 | |
| 11 | 29 | |
| 12 | 45 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 92 | |
| 17 | 3 | |
| 18 | 78 | |
| 19 | 41 |
About Jorge Nahas-Neto
Jorge Nahas-Neto is a scholar working on Orthopedics and Sports Medicine, Rehabilitation and Physiology, having authored 19 papers that have together received 443 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (6 papers), Bone health and osteoporosis research (4 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (71 citations), Physiology (176 citations) and Reproductive Medicine (45 citations). Jorge Nahas-Neto has collaborated with scholars based in Brazil and United States. Frequent co-authors include Eliana Aguiar Petri Nahás, Fábio Lera Orsatti, Naílza Maestá, Roberto Carlos Burini, Paulo Traiman, Cláudio Lera Orsatti, César Eduardo Fernandes, Gilberto Uemura, Gustavo Ribeiro da Mota and Anaglória Pontes. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Strength and Conditioning Research and Molecular Immunology.
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.