Cícero Úrban
- Cancer Research top 2%
- Surgery top 5%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Molecular Biology
- Co-authors
- Mario RietjensRubens Silveira de LimaJean‐Yves PetitFrancesca De LorenziPatrick MaisonneuveIglenir João CavalliAlberto LuiniGiovanna Gatti
- Topics
- Breast Cancer Treatment Studies (24 papers)Breast Lesions and Carcinomas (16 papers)Global Cancer Incidence and Screening (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- BrazilItalyUnited States
In The Last Decade
Cícero Úrban
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 736
- Surgery 676
- Pathology and Forensic Medicine 404
- Oncology 281
- Molecular Biology 164
Countries citing papers authored by Cícero Úrban
This map shows the geographic impact of Cícero Úrban'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 Cícero Úrban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cícero Úrban more than expected).
Fields of papers citing papers by Cícero Úrban
This network shows the impact of papers produced by Cícero Úrban. 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 Cícero Úrban. The network helps show where Cícero Úrban may publish in the future.
Co-authorship network of co-authors of Cícero Úrban
This figure shows the co-authorship network connecting the top 25 collaborators of Cícero Úrban. A scholar is included among the top collaborators of Cícero Úrban 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 Cícero Úrban. Cícero Úrban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 15 | |
| 12 | 56 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 57 | |
| 16 | 12 | |
| 17 | 184 | |
| 18 | 15 | |
| 19 | Utilization of Magnetic Resonance in differentiation between focal cortical dysplasia and low-grade tumors: case report | 0 |
| 20 | 11 |
About Cícero Úrban
Cícero Úrban is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (24 papers), Breast Lesions and Carcinomas (16 papers) and Global Cancer Incidence and Screening (14 papers). The work is most often cited by research in Cancer Research (736 citations), Pathology and Forensic Medicine (404 citations) and Surgery (676 citations). Cícero Úrban has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Mario Rietjens, Rubens Silveira de Lima, Jean‐Yves Petit, Francesca De Lorenzi, Patrick Maisonneuve, Iglenir João Cavalli, Alberto Luini, Giovanna Gatti, Fausto Maffini and Navneet Kaur. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.
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.