Barbara Pivetta

1.2k total citations
25 papers, 781 citations indexed

About

Barbara Pivetta is a scholar working on Genetics, Surgery and Oncology. According to data from OpenAlex, Barbara Pivetta has authored 25 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Surgery and 8 papers in Oncology. Recurrent topics in Barbara Pivetta's work include Chronic Lymphocytic Leukemia Research (7 papers), Viral-associated cancers and disorders (7 papers) and Lymphoma Diagnosis and Treatment (6 papers). Barbara Pivetta is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Viral-associated cancers and disorders (7 papers) and Lymphoma Diagnosis and Treatment (6 papers). Barbara Pivetta collaborates with scholars based in Italy, Ukraine and Switzerland. Barbara Pivetta's co-authors include Vallì De Re, Mauro Boiocchi, Antonino Carbone, Annunziata Gloghini, Daniela Gasparotto, Salvatore De Vita, A. Marzotto, Gianfranco Ferraccioli, Maurizio Rupolo and Riccardo Dolcetti and has published in prestigious journals such as Blood, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Barbara Pivetta

25 papers receiving 776 citations

Peers

Barbara Pivetta
Comparison fields: 5 of 51
  • Hepatology 276
  • Pathology and Forensic Medicine 266
  • Genetics 246
  • Oncology 190
  • Epidemiology 134
Replace Stefania Sacco with:
Stefania Sacco Italy
Giuseppe Iodice Italy
Panayotis Kaloyannidis Greece
Eléna Foïs France
M.T. Rivano Italy
Maria Antonietta De Ioris Italy
C. Fellbaum Germany
Sandra Muñoz Spain
J Sánchez-Román Spain
Cornelia Dähnrich Germany
Stefania Sacco Italy View profile →
Citations per field, relative to Barbara Pivetta
Barbara Pivetta · 1×
Citations per year, relative to Barbara Pivetta
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Countries citing papers authored by Barbara Pivetta

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Pivetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Pivetta

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Pivetta. A scholar is included among the top collaborators of Barbara Pivetta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Barbara Pivetta. Barbara Pivetta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 5
3 42
4 5
5 51
6 2
7 15
8 71
9 94
10 81
11 10
12 177
13
T cell receptor repertoire in B cell lymphoproliferative lesions in primary Sjögren's syndrome.
5
14 6
15 50
16 30
17 29
18 16
19
Local cytokine expression in the progression toward B cell malignancy in Sjögren's syndrome.
32
20
Polymerase chain reaction to assess B-cell clonality in clinical conditions at risk for B-cell malignancy.
1

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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