Natália Satchiko Hojo-Souza
- Infectious Diseases
- Public Health, Environmental and Occupational Health
- Immunology
- Endocrine and Autonomic Systems
- Molecular Biology
- Co-authors
- Fernanda Sumika Hojo de SouzaDaniel L. GuidoniCristiano M. SilvaRicardo T. GazzinelliHelder I. NakayaPatrícia A. AssisRoney S. CoimbraDouglas T. Golenbock
- Topics
- SARS-CoV-2 and COVID-19 Research (7 papers)COVID-19 Clinical Research Studies (7 papers)Malaria Research and Control (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- BrazilUnited StatesTrinidad and Tobago
In The Last Decade
Natália Satchiko Hojo-Souza
21 papers receiving 296 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 102
- Public Health, Environmental and Occupational Health 87
- Immunology 50
- Endocrine and Autonomic Systems 35
- Molecular Biology 32
Countries citing papers authored by Natália Satchiko Hojo-Souza
This map shows the geographic impact of Natália Satchiko Hojo-Souza'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 Natália Satchiko Hojo-Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natália Satchiko Hojo-Souza more than expected).
Fields of papers citing papers by Natália Satchiko Hojo-Souza
This network shows the impact of papers produced by Natália Satchiko Hojo-Souza. 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 Natália Satchiko Hojo-Souza. The network helps show where Natália Satchiko Hojo-Souza may publish in the future.
Co-authorship network of co-authors of Natália Satchiko Hojo-Souza
This figure shows the co-authorship network connecting the top 25 collaborators of Natália Satchiko Hojo-Souza. A scholar is included among the top collaborators of Natália Satchiko Hojo-Souza 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 Natália Satchiko Hojo-Souza. Natália Satchiko Hojo-Souza 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 30 | |
| 13 | 62 | |
| 14 | 24 | |
| 15 | 16 | |
| 16 | 51 | |
| 17 | 26 | |
| 18 | 12 | |
| 19 | 14 | |
| 20 | Pteridium aquilinum: o que sabemos e o que ainda falta saber | 10 |
About Natália Satchiko Hojo-Souza
Natália Satchiko Hojo-Souza is a scholar working on Infectious Diseases, Modeling and Simulation and Health, having authored 21 papers that have together received 298 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (7 papers) and Malaria Research and Control (6 papers). The work is most often cited by research in Infectious Diseases (102 citations), Endocrine and Autonomic Systems (35 citations) and Modeling and Simulation (20 citations). Natália Satchiko Hojo-Souza has collaborated with scholars based in Brazil, United States and Trinidad and Tobago. Frequent co-authors include Fernanda Sumika Hojo de Souza, Daniel L. Guidoni, Cristiano M. Silva, Ricardo T. Gazzinelli, Helder I. Nakaya, Patrícia A. Assis, Roney S. Coimbra, Douglas T. Golenbock, George Reed and Mauro Shugiro Tada. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.