José Gerosa-Neto
- Complementary and alternative medicine top 1%
- Rehabilitation top 2%
- Orthopedics and Sports Medicine top 5%
- Physiology top 10%
- Cell Biology
- Co-authors
- Fábio Santos LiraFabrício Eduardo RossiValéria Leme Gonçalves PanissaDaniela Sayuri InoueEduardo Zapaterra CamposJason M. CholewaÉmerson FranchiniAlessandro Moura Zagatto
- Topics
- Cardiovascular and exercise physiology (18 papers)Exercise and Physiological Responses (15 papers)Sports Performance and Training (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEuropean Journal of Clinical Nutrition
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
José Gerosa-Neto
27 papers receiving 574 citations
Peers
Comparison fields: 5 of 72
- Complementary and alternative medicine 254
- Rehabilitation 205
- Orthopedics and Sports Medicine 201
- Physiology 199
- Cell Biology 95
Countries citing papers authored by José Gerosa-Neto
This map shows the geographic impact of José Gerosa-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 José Gerosa-Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Gerosa-Neto more than expected).
Fields of papers citing papers by José Gerosa-Neto
This network shows the impact of papers produced by José Gerosa-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 José Gerosa-Neto. The network helps show where José Gerosa-Neto may publish in the future.
Co-authorship network of co-authors of José Gerosa-Neto
This figure shows the co-authorship network connecting the top 25 collaborators of José Gerosa-Neto. A scholar is included among the top collaborators of José Gerosa-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 José Gerosa-Neto. José Gerosa-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 | 6 | |
| 2 | 9 | |
| 3 | 18 | |
| 4 | 44 | |
| 5 | 2 | |
| 6 | 35 | |
| 7 | 39 | |
| 8 | Relationship between salivary biomarkers and performance in long-distance running | 1 |
| 9 | 49 | |
| 10 | 28 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 72 | |
| 14 | 60 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 21 | |
| 20 | 7 |
About José Gerosa-Neto
José Gerosa-Neto is a scholar working on Rehabilitation, Complementary and alternative medicine and Orthopedics and Sports Medicine, having authored 27 papers that have together received 586 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (18 papers), Exercise and Physiological Responses (15 papers) and Sports Performance and Training (12 papers). The work is most often cited by research in Complementary and alternative medicine (254 citations), Rehabilitation (205 citations) and Orthopedics and Sports Medicine (201 citations). José Gerosa-Neto has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Fábio Santos Lira, Fabrício Eduardo Rossi, Valéria Leme Gonçalves Panissa, Daniela Sayuri Inoue, Eduardo Zapaterra Campos, Jason M. Cholewa, Émerson Franchini, Alessandro Moura Zagatto, Marcelo Conrado de Freitas and Barbara Moura Antunes. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Clinical Nutrition.
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.