Marcelo Alvarenga
- Cancer Research top 5%
- Breast Cancer Treatment Studies 11
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- Breast Lesions and Carcinomas 12
- Lymphoma Diagnosis and Treatment 6
- Oncology top 10%
- HER2/EGFR in Cancer Research 7
- Viral-associated cancers and disorders 6
- Dermatology top 5%
- Cancer and Skin Lesions 6
- Reproductive Medicine top 10%
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- Medical Imaging Techniques and Applications 3
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- T-cell and Retrovirus Studies 3
- Co-authors
- Rozany Mucha DüflothFernando SchmittIrina MatosRenato Zocchio TorresanCarlos E. BacchiCésar SantosMaura M. BacchiLawrence M. Weiss
- Journals
- Journal of Cleaner Production (1 paper)The Journal of Urology (1 paper)Journal of Clinical Pathology (2 papers)
- Partner nations
- BrazilPortugalUnited States
In The Last Decade
Marcelo Alvarenga
44 papers receiving 873 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 318
- Pathology and Forensic Medicine 306
- Oncology 398
- Dermatology 95
- Reproductive Medicine 48
Countries citing papers authored by Marcelo Alvarenga
This map shows the geographic impact of Marcelo Alvarenga'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 Marcelo Alvarenga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Alvarenga more than expected).
Fields of papers citing papers by Marcelo Alvarenga
This network shows the impact of papers produced by Marcelo Alvarenga. 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 Marcelo Alvarenga. The network helps show where Marcelo Alvarenga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcelo Alvarenga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 2 | |
| 2 | 2012 | 6 | |
| 3 | Doença de Castleman: hiperplasia com aspectos de neoplasia | 2012 | 0 |
| 4 | 2011 | 12 | |
| 5 | 2011 | 30 | |
| 6 | 2009 | 2 | |
| 7 | 2007 | 4 | |
| 8 | 2007 | 69 | |
| 9 | Helicobacter pylori e linfoma gástrica de células B da zona marginal do tipo malt | 2006 | 0 |
| 10 | 2006 | 5 | |
| 11 | 2006 | 5 | |
| 12 | 2006 | 7 | |
| 13 | 2006 | 10 | |
| 14 | 2006 | 2 | |
| 15 | Paracoccidioidomicose da patela. Relato de caso | 2005 | 4 |
| 16 | 2005 | 7 | |
| 17 | 2005 | 11 | |
| 18 | 2004 | 23 | |
| 19 | 1992 | 13 | |
| 20 | 1990 | 51 |
About Marcelo Alvarenga
Marcelo Alvarenga is a scholar working on Pathology and Forensic Medicine, Cancer Research and Dermatology, having authored 47 papers that have together received 906 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (12 papers), Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (7 papers), Viral-associated cancers and disorders (6 papers), Cancer and Skin Lesions (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (3 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Cancer Research (318 citations), Pathology and Forensic Medicine (306 citations) and Oncology (398 citations). Marcelo Alvarenga has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Rozany Mucha Düfloth, Fernando Schmitt, Irina Matos, Renato Zocchio Torresan, Carlos E. Bacchi, César Santos, Maura M. Bacchi, Lawrence M. Weiss, José Vassallo and Deílson Elgui de Oliveira. Their work appears in journals such as Journal of Cleaner Production, The Journal of Urology and Journal of Clinical Pathology.
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.