Raphael de Souza Pinto
- Clinical Biochemistry top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Molecular Biology
- Epidemiology
- Co-authors
- Marisa PassarelliE.R. NakandakareAdriana Machado‐LimaRodrigo Tallada IborraGabriela CastilhoMaria Lúcia Corrêa‐GiannellaE.C.R. QuintãoSérgio Catanozi
- Topics
- Advanced Glycation End Products research (11 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Cholesterol and Lipid Metabolism (7 papers)
In The Last Decade
Raphael de Souza Pinto
23 papers receiving 339 citations
Peers
Comparison fields: 5 of 72
- Clinical Biochemistry 145
- Endocrinology, Diabetes and Metabolism 145
- Surgery 112
- Molecular Biology 64
- Epidemiology 49
Countries citing papers authored by Raphael de Souza Pinto
This map shows the geographic impact of Raphael de Souza Pinto'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 Raphael de Souza Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael de Souza Pinto more than expected).
Fields of papers citing papers by Raphael de Souza Pinto
This network shows the impact of papers produced by Raphael de Souza Pinto. 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 Raphael de Souza Pinto. The network helps show where Raphael de Souza Pinto may publish in the future.
Co-authorship network of co-authors of Raphael de Souza Pinto
This figure shows the co-authorship network connecting the top 25 collaborators of Raphael de Souza Pinto. A scholar is included among the top collaborators of Raphael de Souza Pinto 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 Raphael de Souza Pinto. Raphael de Souza Pinto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 32 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 26 | |
| 13 | 21 | |
| 14 | 27 | |
| 15 | 26 | |
| 16 | 2 | |
| 17 | 35 | |
| 18 | 21 | |
| 19 | 1 | |
| 20 | 40 |
About Raphael de Souza Pinto
Raphael de Souza Pinto is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 23 papers that have together received 344 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Cholesterol and Lipid Metabolism (7 papers). The work is most often cited by research in Clinical Biochemistry (145 citations), Endocrinology, Diabetes and Metabolism (145 citations) and Nephrology (26 citations). Raphael de Souza Pinto has collaborated with scholars based in Brazil, Portugal and Italy. Frequent co-authors include Marisa Passarelli, E.R. Nakandakare, Adriana Machado‐Lima, Rodrigo Tallada Iborra, Gabriela Castilho, Maria Lúcia Corrêa‐Giannella, E.C.R. Quintão, Sérgio Catanozi, Ubiratan Fabres Machado and Daniel Giannella‐Neto. Their work appears in journals such as International Journal of Molecular Sciences, Nutrients and Journal of Cellular Physiology.
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.