José Cabeçadas
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 5%
- Viral-associated cancers and disorders
- Cancer Cells and Metastasis
- CAR-T cell therapy research
Papers in
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- Lymphoma Diagnosis and Treatment 37
- Oncology 23
- Viral-associated cancers and disorders 16
- Co-authors
- María Gomes da Silva (17 shared papers)Philippe Gaulard (4 shared papers)Ayoma D. Attygalle (2 shared papers)Peter G. Isaacson (2 shared papers)Ming‐Qing Du (2 shared papers)Ahmet Doǧan (2 shared papers)Sérgio Dias (3 shared papers)Elaine S. Jaffe (3 shared papers)
- Journals
- Blood (5 papers)Haematologica (3 papers)American Journal of Dermatopathology (3 papers)Histopathology (3 papers)Oncotarget (2 papers)
- Partner nations
- PortugalUnited KingdomUnited States
In The Last Decade
José Cabeçadas
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Pathology and Forensic Medicine 730
- Oncology 718
- Genetics 228
- Dermatology 126
- Immunology 261
Countries citing papers authored by José Cabeçadas
This map shows the geographic impact of José Cabeçadas'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 José Cabeçadas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Cabeçadas more than expected).
Fields of papers citing papers by José Cabeçadas
This network shows the impact of papers produced by José Cabeçadas. 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 José Cabeçadas. The network helps show where José Cabeçadas may publish in the future.
Co-authors
The 25 scholars most cited alongside José Cabeçadas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 196 | |
| 2 | 2002 | 165 | |
| 3 | 2007 | 146 | |
| 4 | 2013 | 117 | |
| 5 | 2013 | 85 | |
| 6 | 2005 | 75 | |
| 7 | 2017 | 61 | |
| 8 | 2007 | 56 | |
| 9 | 2014 | 48 | |
| 10 | 1998 | 48 | |
| 11 | 2017 | 40 | |
| 12 | 2012 | 34 | |
| 13 | 1991 | 25 | |
| 14 | 2017 | 25 | |
| 15 | 2019 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2015 | 20 | |
| 18 | 2002 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2021 | 17 |
About José Cabeçadas
José Cabeçadas is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Molecular Biology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (37 papers), Viral-associated cancers and disorders (16 papers), Chronic Lymphocytic Leukemia Research (15 papers), Cutaneous lymphoproliferative disorders research (7 papers), Histiocytic Disorders and Treatments (5 papers), Lung Cancer Treatments and Mutations (5 papers), Fungal Infections and Studies (4 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (730 citations), Oncology (718 citations), Genetics (228 citations), Dermatology (126 citations) and Immunology (261 citations). José Cabeçadas has collaborated with scholars based in Portugal, United Kingdom and United States. Frequent co-authors include María Gomes da Silva, Philippe Gaulard, Ayoma D. Attygalle, Peter G. Isaacson, Ming‐Qing Du, Ahmet Doǧan, Sérgio Dias, Elaine S. Jaffe, Paula M. Alves and Sofia P. Rebelo. Their work appears in journals such as Blood, Haematologica, American Journal of Dermatopathology, Histopathology and Oncotarget.
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.