Pablo Oppezzo
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Immunology top 5%
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Galectins and Cancer Biology
Papers in
- Genetics 35
- Chronic Lymphocytic Leukemia Research 35
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- Glycosylation and Glycoproteins Research 15
- Protein purification and stability 6
- Co-authors
- Agustín Correa (9 shared papers)Otto Pritsch (16 shared papers)Guillaume Dighiero (11 shared papers)Christian Magnac (7 shared papers)Béatrice Payelle‐Brogard (6 shared papers)Pedro M. Alzari (6 shared papers)Françoise Vuillier (6 shared papers)Gérard Dumas (6 shared papers)
In The Last Decade
Pablo Oppezzo
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 80
- Genetics 589
- Immunology 596
- Pathology and Forensic Medicine 370
- Radiology, Nuclear Medicine and Imaging 232
- Molecular Biology 675
Countries citing papers authored by Pablo Oppezzo
This map shows the geographic impact of Pablo Oppezzo'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 Pablo Oppezzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Oppezzo more than expected).
Fields of papers citing papers by Pablo Oppezzo
This network shows the impact of papers produced by Pablo Oppezzo. 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 Pablo Oppezzo. The network helps show where Pablo Oppezzo may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Oppezzo, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 109 | |
| 2 | 2011 | 99 | |
| 3 | 2003 | 94 | |
| 4 | 2017 | 80 | |
| 5 | 2005 | 70 | |
| 6 | 2010 | 66 | |
| 7 | 2003 | 65 | |
| 8 | 2014 | 60 | |
| 9 | 2011 | 52 | |
| 10 | 2005 | 52 | |
| 11 | 2003 | 49 | |
| 12 | 2014 | 41 | |
| 13 | 2004 | 31 | |
| 14 | 2013 | 31 | |
| 15 | 2002 | 31 | |
| 16 | 2014 | 29 | |
| 17 | 2014 | 27 | |
| 18 | 2013 | 26 | |
| 19 | 2008 | 25 | |
| 20 | 2000 | 25 |
About Pablo Oppezzo
Pablo Oppezzo is a scholar working on Genetics, Molecular Biology, Immunology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (35 papers), Immunodeficiency and Autoimmune Disorders (17 papers), Glycosylation and Glycoproteins Research (15 papers), Lymphoma Diagnosis and Treatment (15 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Protein purification and stability (6 papers), Galectins and Cancer Biology (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Genetics (589 citations), Immunology (596 citations), Pathology and Forensic Medicine (370 citations), Radiology, Nuclear Medicine and Imaging (232 citations) and Molecular Biology (675 citations). Pablo Oppezzo has collaborated with scholars based in Uruguay, France and Argentina. Frequent co-authors include Agustín Correa, Otto Pritsch, Guillaume Dighiero, Christian Magnac, Béatrice Payelle‐Brogard, Pedro M. Alzari, Françoise Vuillier, Gérard Dumas, Ana Inés Landoni and Cecilia Abreu. Their work appears in journals such as Blood, Leukemia, European Journal of Immunology, British Journal of Haematology and Frontiers in Microbiology.
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.