Daniela Capello

7.9k citations
127 papers · 3.9k · h-index 35

Impact in

Papers in

Daniela Capello

125 papers receiving 3.9k citations

Peers

Daniela Capello
Comparison fields: 5 of 99
  • Genetics 1.3k
  • Pathology and Forensic Medicine 2.0k
  • Oncology 2.0k
  • Immunology 701
  • Neurology 386
Replace Sunita D. Nasta with:
Sunita D. Nasta United States
Tomohiro Kinoshita Japan
C. Cameron Yin United States
TM Grogan United States
Harald Stein Germany
Kazimiera J. Gajl‐Peczalska United States
Scott Ely United States
Loïc Ysebaert France
Yoshitoyo Kagami Japan
Javier Briones Spain
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Capello

Since Specialization
Citations

This map shows the geographic impact of Daniela Capello'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 Daniela Capello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Capello more than expected).

Fields of papers citing papers by Daniela Capello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Capello. 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 Daniela Capello. The network helps show where Daniela Capello may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Capello, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Capello Line = papers co-authored together Daniela Capello links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009206
2 2001185
3 2008167
4 1998135
5 1998114
6 2005108
7 1998104
8 199792
9 200990
10
Aberrant promoter methylation of multiple genes throughout the clinico-pathologic spectrum of B-cell neoplasia.
200480
11 199879
12 199678
13 199977
14 200374
15 200472
16 200267
17 200365
18 199864
19 199963
20
Aberrant somatic hypermutation in transformation of follicular lymphoma and chronic lymphocytic leukemia to diffuse large B-cell lymphoma.
200658

About Daniela Capello

Daniela Capello is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Biology and Immunology, having authored 127 papers that have together received 3.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (71 papers), Viral-associated cancers and disorders (57 papers), Chronic Lymphocytic Leukemia Research (39 papers), Immunodeficiency and Autoimmune Disorders (12 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), Cytomegalovirus and herpesvirus research (9 papers), Immune Cell Function and Interaction (6 papers) and Polyomavirus and related diseases (5 papers). The work is most often cited by research in Genetics (1.3k citations), Pathology and Forensic Medicine (2.0k citations), Oncology (2.0k citations), Immunology (701 citations) and Neurology (386 citations). Daniela Capello has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Gianluca Gaïdano, Antonino Carbone, Annunziata Gloghini, Davide Rossi, Giuseppe Saglio, Luigi Maria Larocca, Riccardo Dalla‐Favera, Umberto Tirelli, Clara Deambrogi and Michaela Cerri. Their work appears in journals such as British Journal of Haematology, Blood, Leukemia, Annals of Oncology and Leukemia Research.

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.

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