Daniela Capello

7.9k citations
129 papers · 4.1k · h-index 36

Impact in

Papers in

Daniela Capello

126 papers receiving 4.0k citations

Peers

Daniela Capello
Comparison fields: 5 of 99
  • Genetics 1.3k
  • Pathology and Forensic Medicine 2.2k
  • Oncology 2.1k
  • Immunology 727
  • Neurology 437
Replace Frédéric Davi with:
Frédéric Davi France
Sunita D. Nasta United States
V. Leblond France
Tomohiro Kinoshita Japan
TM Grogan United States
Kazimiera J. Gajl‐Peczalska United States
Harald Stein Germany
Scott Ely United States
Yoshitoyo Kagami Japan
Loïc Ysebaert France
Daniela Capello relative to Frédéric Davi France Frédéric Davi's profile →
Citations per field
00.5×1.5×
Frédéric Davi · 1×
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 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009218
2 2001198
3 2008173
4 1998151
5 1998122
6 1998113
7 2005111
8 1997100
9 200993
10 199684
11 200384
12 199982
13 199882
14
Aberrant promoter methylation of multiple genes throughout the clinico-pathologic spectrum of B-cell neoplasia.
200480
15 200275
16 200474
17 200367
18 199867
19 199965
20
Aberrant somatic hypermutation in transformation of follicular lymphoma and chronic lymphocytic leukemia to diffuse large B-cell lymphoma.
200662

About Daniela Capello

Daniela Capello is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Biology and Immunology, having authored 129 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (73 papers), Viral-associated cancers and disorders (58 papers), Chronic Lymphocytic Leukemia Research (40 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 (2.2k citations), Oncology (2.1k citations), Immunology (727 citations) and Neurology (437 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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