Daniel Ribeiro
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Chronic Lymphocytic Leukemia Research
Papers in
-
- T-cell and Retrovirus Studies 3
- Immune Cell Function and Interaction 2
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- Acute Lymphoblastic Leukemia research 4
- Co-authors
- João T. Barata (6 shared papers)Alice Melão (4 shared papers)Mariana L. Oliveira (1 shared paper)Padma Akkapeddi (1 shared paper)Patrícia Yoshioka Jotta (1 shared paper)José Andrés Yunes (1 shared paper)André Bortolini Silveira (1 shared paper)Sílvia Regina Brandalise (1 shared paper)
- Journals
- Advances in Biological Regulation (2 papers)Ecology Of Freshwater Fish (1 paper)Blood (1 paper)Haematologica (1 paper)Blood Advances (1 paper)
- Partner nations
- PortugalNetherlandsBrazil
In The Last Decade
Daniel Ribeiro
8 papers receiving 256 citations
Peers
Comparison fields: 5 of 40
- Hematology 69
- Genetics 38
- Immunology 76
- Public Health, Environmental and Occupational Health 97
- Oncology 76
Countries citing papers authored by Daniel Ribeiro
This map shows the geographic impact of Daniel Ribeiro'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 Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ribeiro more than expected).
Fields of papers citing papers by Daniel Ribeiro
This network shows the impact of papers produced by Daniel Ribeiro. 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 Ribeiro. The network helps show where Daniel Ribeiro may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel Ribeiro, 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 | 2009 | 65 | |
| 2 | 2018 | 65 | |
| 3 | 2018 | 59 | |
| 4 | 2012 | 49 | |
| 5 | 2020 | 10 | |
| 6 | 2023 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2018 | 1 | |
| 9 | 2014 | 0 |
About Daniel Ribeiro
Daniel Ribeiro is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 9 papers that have together received 258 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), T-cell and Retrovirus Studies (3 papers), Immune Cell Function and Interaction (2 papers), Cancer Mechanisms and Therapy (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Fish Biology and Ecology Studies (1 paper), Spinal Cord Injury Research (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Hematology (69 citations), Genetics (38 citations), Immunology (76 citations), Public Health, Environmental and Occupational Health (97 citations) and Oncology (76 citations). Daniel Ribeiro has collaborated with scholars based in Portugal, Netherlands and Brazil. Frequent co-authors include João T. Barata, Alice Melão, Mariana L. Oliveira, Padma Akkapeddi, Patrícia Yoshioka Jotta, José Andrés Yunes, André Bortolini Silveira, Sílvia Regina Brandalise, Ruben van Boxtel and Milene Costa da Silva. Their work appears in journals such as Advances in Biological Regulation, Ecology Of Freshwater Fish, Blood, Haematologica and Blood Advances.
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.