Barbara Bigerna
- Hematology top 1%
- Acute Myeloid Leukemia Research 11
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 7
-
- Lymphoma Diagnosis and Treatment 13
- Immunology top 5%
- Immune Cell Function and Interaction 4
- T-cell and Retrovirus Studies 3
- Oncology top 5%
-
- Salivary Gland Disorders and Functions 5
-
- Retinoids in leukemia and cellular processes 5
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Brunangelo FaliniRoberta PaciniStefano PileriAlessandra PucciariniMarcello GambacortaLeonardo FlenghiMarco FizzottiPier Giuseppe Pelicci
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Barbara Bigerna
35 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 88
- Hematology 692
- Genetics 555
- Pathology and Forensic Medicine 929
- Immunology 661
- Oncology 664
Countries citing papers authored by Barbara Bigerna
This map shows the geographic impact of Barbara Bigerna'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 Bigerna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Bigerna more than expected).
Fields of papers citing papers by Barbara Bigerna
This network shows the impact of papers produced by Barbara Bigerna. 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 Bigerna. The network helps show where Barbara Bigerna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Barbara Bigerna, 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 | 2025 | 2 | |
| 2 | 2024 | 9 | |
| 3 | 2022 | 22 | |
| 4 | 2021 | 2 | |
| 5 | 2019 | 8 | |
| 6 | 2014 | 55 | |
| 7 | 2013 | 14 | |
| 8 | 2012 | 82 | |
| 9 | 2012 | 66 | |
| 10 | 2012 | 1 | |
| 11 | 2008 | 55 | |
| 12 | 2008 | 36 | |
| 13 | 2006 | 71 | |
| 14 | 2005 | 122 | |
| 15 | 1998 | 214 | |
| 16 | 1996 | 40 | |
| 17 | Immunotoxin therapy of hematological malignancies. | 1996 | 19 |
| 18 | PG-M1: a new monoclonal antibody directed against a fixative-resistant epitope on the macrophage-restricted form of the CD68 molecule. | 1993 | 257 |
| 19 | In vivo targeting of Hodgkin's and Reed-Sternberg cells of Hodgkin's disease with monoclonal antibody Ber-H2. Immunoscintigrafic and immunohistological evidence. | 1992 | 1 |
| 20 | 1991 | 13 |
About Barbara Bigerna
Barbara Bigerna is a scholar working on Hematology, Pathology and Forensic Medicine and Genetics, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Salivary Gland Disorders and Functions (5 papers), Retinoids in leukemia and cellular processes (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (4 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Hematology (692 citations), Genetics (555 citations) and Pathology and Forensic Medicine (929 citations). Barbara Bigerna has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Brunangelo Falini, Roberta Pacini, Stefano Pileri, Alessandra Pucciarini, Marcello Gambacorta, Leonardo Flenghi, Marco Fizzotti, Pier Giuseppe Pelicci, Maria Paola Martelli and Giorgio Cattoretti. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Annals of the Rheumatic Diseases and Histopathology.
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.