R.V.Z Diniz
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Transplantation top 5%
- Molecular Biology
- Immunology
- Co-authors
- Dirceu Rodrigues AlmeidaAndrey MorgunMaria Gerbase‐DeLimaNatalia ShulzhenkoAyrton Roberto MassaroAntônio Carlos CarvalhoÂngelo A. V. de PaolaAntônio Sérgio Tebexreni
- Topics
- Transplantation: Methods and Outcomes (9 papers)RNA Interference and Gene Delivery (5 papers)Viral Infections and Immunology Research (5 papers)
- Cited by
- TransplantationCardiology and Cardiovascular MedicineComplementary and alternative medicine
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
R.V.Z Diniz
18 papers receiving 393 citations
Peers
Comparison fields: 5 of 66
- Cardiology and Cardiovascular Medicine 152
- Surgery 150
- Transplantation 107
- Molecular Biology 86
- Immunology 72
Countries citing papers authored by R.V.Z Diniz
This map shows the geographic impact of R.V.Z Diniz'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 R.V.Z Diniz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.V.Z Diniz more than expected).
Fields of papers citing papers by R.V.Z Diniz
This network shows the impact of papers produced by R.V.Z Diniz. 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 R.V.Z Diniz. The network helps show where R.V.Z Diniz may publish in the future.
Co-authorship network of co-authors of R.V.Z Diniz
This figure shows the co-authorship network connecting the top 25 collaborators of R.V.Z Diniz. A scholar is included among the top collaborators of R.V.Z Diniz 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 R.V.Z Diniz. R.V.Z Diniz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 15 | |
| 3 | 37 | |
| 4 | 59 | |
| 5 | 46 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | Bayesian inference of a linear segmented regression model | 0 |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 29 | |
| 13 | 26 | |
| 14 | 13 | |
| 15 | 15 | |
| 16 | 17 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | Helper (OKT4)/suppressor (OKT8) ratios in the peripheral blood and synovial fluid of patients with rheumatoid arthritis. | 3 |
About R.V.Z Diniz
R.V.Z Diniz is a scholar working on Transplantation, Immunology and Allergy and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 397 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (9 papers), RNA Interference and Gene Delivery (5 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Transplantation (107 citations), Cardiology and Cardiovascular Medicine (152 citations) and Complementary and alternative medicine (45 citations). R.V.Z Diniz has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Dirceu Rodrigues Almeida, Andrey Morgun, Maria Gerbase‐DeLima, Natalia Shulzhenko, Ayrton Roberto Massaro, Antônio Carlos Carvalho, Ângelo A. V. de Paola, Antônio Sérgio Tebexreni, Antonio C.C Carvalho and Marcello Franco. Their work appears in journals such as Circulation Research, Neurology and Transplantation.
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.