Fernando Anjos‐Afonso
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 19
- Acute Myeloid Leukemia Research 9
- Immunology top 2%
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- Genetics top 2%
- Mesenchymal stem cell research 8
- Oncology top 5%
- Cancer Cells and Metastasis 5
- Cancer Research top 10%
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- Single-cell and spatial transcriptomics 3
- Co-authors
- Dominique BonnetElena K. SiapatiDavid TaussigJohn G. GribbenEmmanuel GriessingerKevin Rouault‐PierreCaetano Reis e SousaFrançois Lassailly
- Cited by
- HematologyImmunologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United KingdomFranceSpain
In The Last Decade
Fernando Anjos‐Afonso
35 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Hematology 772
- Immunology 1.0k
- Genetics 487
- Oncology 664
- Cancer Research 297
Countries citing papers authored by Fernando Anjos‐Afonso
This map shows the geographic impact of Fernando Anjos‐Afonso'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 Fernando Anjos‐Afonso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Anjos‐Afonso more than expected).
Fields of papers citing papers by Fernando Anjos‐Afonso
This network shows the impact of papers produced by Fernando Anjos‐Afonso. 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 Fernando Anjos‐Afonso. The network helps show where Fernando Anjos‐Afonso may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Anjos‐Afonso, 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 | 2025 | 1 | |
| 2 | 2023 | 22 | |
| 3 | 2022 | 30 | |
| 4 | 2021 | 41 | |
| 5 | 2019 | 12 | |
| 6 | 2017 | 1 | |
| 7 | 2017 | 62 | |
| 8 | 2017 | 54 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 17 | |
| 11 | 2015 | 40 | |
| 12 | 2014 | 225 | |
| 13 | 2013 | 108 | |
| 14 | 2013 | 13 | |
| 15 | 2013 | 143 | |
| 16 | 2011 | 17 | |
| 17 | 2008 | 278 | |
| 18 | 2008 | 99 | |
| 19 | Age-dependent increase in side population distribution within hematopoiesis: Implications for our understanding of the mechanism of aging (vol 25, pg 828, 2007) | 2007 | 0 |
| 20 | 2007 | 8 |
About Fernando Anjos‐Afonso
Fernando Anjos‐Afonso is a scholar working on Hematology, Genetics and Immunology, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (19 papers), Immune Cell Function and Interaction (10 papers), Acute Myeloid Leukemia Research (9 papers), Mesenchymal stem cell research (8 papers), Cancer Cells and Metastasis (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Hematology (772 citations), Immunology (1.0k citations) and Genetics (487 citations). Fernando Anjos‐Afonso has collaborated with scholars based in United Kingdom, France and Spain. Frequent co-authors include Dominique Bonnet, Elena K. Siapati, David Taussig, John G. Gribben, Emmanuel Griessinger, Kevin Rouault‐Pierre, Caetano Reis e Sousa, François Lassailly, Jamie Cavenagh and Farideh Miraki‐Moud. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.
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.