Jorge Nahás-Neto
- Pathology and Forensic Medicine top 5%
- Physiology top 10%
- Orthopedics and Sports Medicine top 5%
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Eliana Aguiar Petri NahásCláudio Lera OrsattiFlávia Neves Bueloni-DiasGilberto UemuraFábio Lera OrsattiPaulo TraimanRogério DiasNaílza Maestá
- Topics
- Vitamin D Research Studies (11 papers)Bone health and osteoporosis research (11 papers)Cancer Risks and Factors (9 papers)
- Cited by
- Pathology and Forensic MedicineOrthopedics and Sports MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- BrazilUnited States
In The Last Decade
Jorge Nahás-Neto
42 papers receiving 733 citations
Peers
Comparison fields: 5 of 81
- Pathology and Forensic Medicine 356
- Physiology 196
- Orthopedics and Sports Medicine 162
- Public Health, Environmental and Occupational Health 141
- Endocrinology, Diabetes and Metabolism 129
Countries citing papers authored by Jorge Nahás-Neto
This map shows the geographic impact of Jorge Nahás-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 Nahás-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 Nahás-Neto more than expected).
Fields of papers citing papers by Jorge Nahás-Neto
This network shows the impact of papers produced by Jorge Nahás-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 Nahás-Neto. The network helps show where Jorge Nahás-Neto may publish in the future.
Co-authorship network of co-authors of Jorge Nahás-Neto
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Nahás-Neto. A scholar is included among the top collaborators of Jorge Nahás-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 Nahás-Neto. Jorge Nahás-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 | 2 | |
| 2 | 5 | |
| 3 | 17 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 46 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 29 | |
| 11 | 3 | |
| 12 | 18 | |
| 13 | 16 | |
| 14 | 35 | |
| 15 | 19 | |
| 16 | 17 | |
| 17 | 46 | |
| 18 | 9 | |
| 19 | 10 | |
| 20 | 5 |
About Jorge Nahás-Neto
Jorge Nahás-Neto is a scholar working on Orthopedics and Sports Medicine, Pathology and Forensic Medicine and Reproductive Medicine, having authored 43 papers that have together received 753 indexed citations. Recurring topics across this work include Vitamin D Research Studies (11 papers), Bone health and osteoporosis research (11 papers) and Cancer Risks and Factors (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (356 citations), Orthopedics and Sports Medicine (162 citations) and Endocrinology, Diabetes and Metabolism (129 citations). Jorge Nahás-Neto has collaborated with scholars based in Brazil and United States. Frequent co-authors include Eliana Aguiar Petri Nahás, Cláudio Lera Orsatti, Flávia Neves Bueloni-Dias, Gilberto Uemura, Fábio Lera Orsatti, Paulo Traiman, Rogério Dias, Naílza Maestá, Ivete Dalben and Anaglória Pontes. Their work appears in journals such as PLoS ONE, Cancer Research and Osteoporosis International.
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.