Antonella Bardi
- Genetics top 1%
- Pathology and Forensic Medicine top 2%
- Hematology top 2%
- Immunology top 10%
- Oncology top 10%
- Co-authors
- Gian Matteo RigolinAntonio CuneoRenato BigoniGianluigi CastoldiM G RobertiFrancesco CavazziniPaola AgostiniMassimo Negrini
- Topics
- Lymphoma Diagnosis and Treatment (24 papers)Chronic Lymphocytic Leukemia Research (21 papers)Acute Myeloid Leukemia Research (18 papers)
- Partner nations
- ItalyBelgiumUnited States
In The Last Decade
Antonella Bardi
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Genetics 624
- Pathology and Forensic Medicine 515
- Hematology 460
- Immunology 309
- Oncology 240
Countries citing papers authored by Antonella Bardi
This map shows the geographic impact of Antonella Bardi'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 Antonella Bardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonella Bardi more than expected).
Fields of papers citing papers by Antonella Bardi
This network shows the impact of papers produced by Antonella Bardi. 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 Antonella Bardi. The network helps show where Antonella Bardi may publish in the future.
Co-authorship network of co-authors of Antonella Bardi
This figure shows the co-authorship network connecting the top 25 collaborators of Antonella Bardi. A scholar is included among the top collaborators of Antonella Bardi 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 Antonella Bardi. Antonella Bardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 32 | |
| 4 | 56 | |
| 5 | Validation of an interphase fluorescence in situ hybridization approach for the detection of MLL gene rearrangements and of the MLL/AF9 fusion in acute myeloid leukemia. | 3 |
| 6 | 9 | |
| 7 | 83 | |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 19 | |
| 11 | 27 | |
| 12 | 61 | |
| 13 | 12 | |
| 14 | Cytogenetic and molecular cytogenetic characterization of 6 new cases of idiopathic hypereosinophilic syndrome. | 11 |
| 15 | 64 | |
| 16 | 37 | |
| 17 | 35 | |
| 18 | 10 | |
| 19 | 20 | |
| 20 | 2 |
About Antonella Bardi
Antonella Bardi is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (24 papers), Chronic Lymphocytic Leukemia Research (21 papers) and Acute Myeloid Leukemia Research (18 papers). The work is most often cited by research in Genetics (624 citations), Hematology (460 citations) and Pathology and Forensic Medicine (515 citations). Antonella Bardi has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Gian Matteo Rigolin, Antonio Cuneo, Renato Bigoni, Gianluigi Castoldi, M G Roberti, Francesco Cavazzini, Paola Agostini, Massimo Negrini, Raffaella Milani and Maria Grazia Roberti. Their work appears in journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.
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.