Nina Ventura
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Surgery
- Virology top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Emerson L. GasparettoEdson MarchioriMônica R. GadelhaDiogo Goulart CorrêaLeandro KasukiBruno Niemeyer de Freitas RibeiroLeila ChimelliLuiz Eduardo Wildemberg
- Topics
- Pituitary Gland Disorders and Treatments (13 papers)Glioma Diagnosis and Treatment (9 papers)Growth Hormone and Insulin-like Growth Factors (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismScientific Reports
- Partner nations
- BrazilUnited StatesChina
In The Last Decade
Nina Ventura
44 papers receiving 497 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 172
- Epidemiology 119
- Surgery 108
- Virology 87
- Radiology, Nuclear Medicine and Imaging 77
Countries citing papers authored by Nina Ventura
This map shows the geographic impact of Nina Ventura'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 Nina Ventura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Ventura more than expected).
Fields of papers citing papers by Nina Ventura
This network shows the impact of papers produced by Nina Ventura. 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 Nina Ventura. The network helps show where Nina Ventura may publish in the future.
Co-authorship network of co-authors of Nina Ventura
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Ventura. A scholar is included among the top collaborators of Nina Ventura 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 Nina Ventura. Nina Ventura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 12 | |
| 16 | 25 | |
| 17 | 5 | |
| 18 | 33 | |
| 19 | 11 | |
| 20 | 4 |
About Nina Ventura
Nina Ventura is a scholar working on Microbiology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 499 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (13 papers), Glioma Diagnosis and Treatment (9 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). The work is most often cited by research in Virology (87 citations), Endocrinology, Diabetes and Metabolism (172 citations) and Genetics (57 citations). Nina Ventura has collaborated with scholars based in Brazil, United States and China. Frequent co-authors include Emerson L. Gasparetto, Edson Marchiori, Mônica R. Gadelha, Diogo Goulart Corrêa, Leandro Kasuki, Bruno Niemeyer de Freitas Ribeiro, Leila Chimelli, Luiz Eduardo Wildemberg, Thomas Döring and Nicolle Zimmermann. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism 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.