Ana Sofía Carvalho
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Extracellular vesicles in disease
- Gut microbiota and health
Papers in
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- Extracellular vesicles in disease 11
- Glycosylation and Glycoproteins Research 9
- Metabolomics and Mass Spectrometry Studies 7
- Ubiquitin and proteasome pathways 6
- Immunology 12
- Galectins and Cancer Biology 6
- Co-authors
- Rune Matthiesen (48 shared papers)Celso A. Reis (8 shared papers)Raquel Almeida (4 shared papers)Leonor David (6 shared papers)Ana Magalhães (6 shared papers)Anne Harduin‐Lepers (2 shared papers)Nuno T. Marcos (3 shared papers)Hans Christian Beck (19 shared papers)
In The Last Decade
Ana Sofía Carvalho
64 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Immunology 302
- Molecular Biology 950
- Cancer Research 164
- Biotechnology 59
- Immunology and Allergy 36
Countries citing papers authored by Ana Sofía Carvalho
This map shows the geographic impact of Ana Sofía Carvalho'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 Ana Sofía Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Sofía Carvalho more than expected).
Fields of papers citing papers by Ana Sofía Carvalho
This network shows the impact of papers produced by Ana Sofía Carvalho. 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 Ana Sofía Carvalho. The network helps show where Ana Sofía Carvalho may publish in the future.
Co-authors
The 25 scholars most cited alongside Ana Sofía Carvalho, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 138 | |
| 2 | 2006 | 123 | |
| 3 | 2009 | 108 | |
| 4 | 2019 | 105 | |
| 5 | 2008 | 94 | |
| 6 | 2009 | 86 | |
| 7 | 2011 | 67 | |
| 8 | 2017 | 42 | |
| 9 | 2014 | 40 | |
| 10 | 2018 | 26 | |
| 11 | 2009 | 26 | |
| 12 | 2010 | 25 | |
| 13 | 2012 | 24 | |
| 14 | 2018 | 24 | |
| 15 | 2016 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2016 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2015 | 17 | |
| 20 | 2021 | 16 |
About Ana Sofía Carvalho
Ana Sofía Carvalho is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Spectroscopy and Oncology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Extracellular vesicles in disease (11 papers), Mass Spectrometry Techniques and Applications (10 papers), Glycosylation and Glycoproteins Research (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Ubiquitin and proteasome pathways (6 papers), Galectins and Cancer Biology (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (302 citations), Molecular Biology (950 citations), Cancer Research (164 citations), Biotechnology (59 citations) and Immunology and Allergy (36 citations). Ana Sofía Carvalho has collaborated with scholars based in Portugal, Denmark and France. Frequent co-authors include Rune Matthiesen, Celso A. Reis, Raquel Almeida, Leonor David, Ana Magalhães, Anne Harduin‐Lepers, Nuno T. Marcos, Hans Christian Beck, Filipe Santos‐Silva and María José Oliveira. Their work appears in journals such as Scientific Reports, Journal of Proteomics, International Journal of Molecular Sciences, Cancers and Cells.
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.