Diego Cortese
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 18
- Chronic Lymphocytic Leukemia Research 18
- Immunology 14
- Immunodeficiency and Autoimmune Disorders 12
- Galectins and Cancer Biology 3
- Co-authors
- Richard Rosenquist (3 shared papers)Larry Mansouri (2 shared papers)Rebeqa Gunnarsson (1 shared paper)Karin Ekstrom Ekstroem Smedby (2 shared papers)Gunnar Juliusson (2 shared papers)Christian H. Geisler (1 shared paper)L-A Sutton (1 shared paper)Nicola Cahill (1 shared paper)
In The Last Decade
Diego Cortese
18 papers receiving 862 citations
Peers
Comparison fields: 5 of 43
- Genetics 700
- Pathology and Forensic Medicine 496
- Immunology 334
- Hematology 73
- Cancer Research 71
Countries citing papers authored by Diego Cortese
This map shows the geographic impact of Diego Cortese'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 Diego Cortese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Cortese more than expected).
Fields of papers citing papers by Diego Cortese
This network shows the impact of papers produced by Diego Cortese. 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 Diego Cortese. The network helps show where Diego Cortese may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Cortese, 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 | 2014 | 245 | |
| 2 | 2015 | 130 | |
| 3 | 2015 | 91 | |
| 4 | 2013 | 90 | |
| 5 | 2013 | 63 | |
| 6 | 2013 | 58 | |
| 7 | 2014 | 57 | |
| 8 | 2023 | 56 | |
| 9 | 2018 | 39 | |
| 10 | 2015 | 18 | |
| 11 | 2020 | 14 | |
| 12 | 2024 | 4 | |
| 13 | BTK and PLCG2 mutations in patients with Chronic Lymphocytic Leukemia relapsing on Ibrutinib: a European Research Initiative on CLL (ERIC) study based on real-world evidence | 2020 | 3 |
| 14 | 2014 | 2 | |
| 15 | High throughput immunoprofiling of chronic lymphocytic leukemia patients assigned to stereotyped subset #4 : novel insights into the depth, diversity and temporal dynamics of clonal evolution | 2017 | 1 |
| 16 | 2013 | 1 | |
| 17 | REFINING PROGNOSIS OF CHRONIC LYMPHOCYTIC LEUKEMIA WITH SOMATICALLY HYPERMUTATED B-CELL RECEPTORS : A NOVEL PROGNOSTIC INDEX ON BEHALF OF THE EUROPEAN RESEARCH INITIATIVE ON CLL (ERIC) | 2015 | 1 |
| 18 | 2016 | 1 |
About Diego Cortese
Diego Cortese is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 18 papers that have together received 874 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), Immunodeficiency and Autoimmune Disorders (12 papers), Lymphoma Diagnosis and Treatment (6 papers), Galectins and Cancer Biology (3 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chromatin Remodeling and Cancer (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Genetics (700 citations), Pathology and Forensic Medicine (496 citations), Immunology (334 citations), Hematology (73 citations) and Cancer Research (71 citations). Diego Cortese has collaborated with scholars based in Sweden, Czechia and Italy. Frequent co-authors include Richard Rosenquist, Larry Mansouri, Rebeqa Gunnarsson, Karin Ekstrom Ekstroem Smedby, Gunnar Juliusson, Christian H. Geisler, L-A Sutton, Nicola Cahill, ROLF GUNNARSSON and Lesley‐Ann Sutton. Their work appears in journals such as Haematologica, Leukemia, Blood, The Journal of Experimental Medicine 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.