Daniel Guimarães Tiezzi
- Oncology top 5%
- Cancer Research top 10%
- Immunology top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Jurandyr Moreira de AndradeHeitor Ricardo Cosiski MaranaLuciana BenevidesJoão S. SilvaFrancisco José Cândido dos ReisOmero Benedicto Poli‐NetoJuliana MeolaJúlio César Rosa e Silva
- Topics
- Breast Cancer Treatment Studies (21 papers)Breast Lesions and Carcinomas (12 papers)Cancer Cells and Metastasis (10 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Partner nations
- BrazilUnited StatesSpain
In The Last Decade
Daniel Guimarães Tiezzi
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Oncology 488
- Cancer Research 290
- Immunology 281
- Molecular Biology 267
- Pathology and Forensic Medicine 128
Countries citing papers authored by Daniel Guimarães Tiezzi
This map shows the geographic impact of Daniel Guimarães Tiezzi'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 Daniel Guimarães Tiezzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Guimarães Tiezzi more than expected).
Fields of papers citing papers by Daniel Guimarães Tiezzi
This network shows the impact of papers produced by Daniel Guimarães Tiezzi. 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 Daniel Guimarães Tiezzi. The network helps show where Daniel Guimarães Tiezzi may publish in the future.
Co-authorship network of co-authors of Daniel Guimarães Tiezzi
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Guimarães Tiezzi. A scholar is included among the top collaborators of Daniel Guimarães Tiezzi 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 Daniel Guimarães Tiezzi. Daniel Guimarães Tiezzi 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | História e Epidemiologia da COVID-19 | 1 |
| 8 | 73 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 136 | |
| 15 | 16 | |
| 16 | 8 | |
| 17 | 18 | |
| 18 | 6 | |
| 19 | 0 | |
| 20 | 42 |
About Daniel Guimarães Tiezzi
Daniel Guimarães Tiezzi is a scholar working on Cancer Research, Oncology and Obstetrics and Gynecology, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (12 papers) and Cancer Cells and Metastasis (10 papers). The work is most often cited by research in Cancer Research (290 citations), Oncology (488 citations) and Immunology (281 citations). Daniel Guimarães Tiezzi has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Jurandyr Moreira de Andrade, Heitor Ricardo Cosiski Marana, Luciana Benevides, João S. Silva, Francisco José Cândido dos Reis, Omero Benedicto Poli‐Neto, Juliana Meola, Júlio César Rosa e Silva, Denise Morais da Fonseca and Paula B. Donate. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Cancer Research.
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.