Filippo Ballerini

1.6k total citations
55 papers, 825 citations indexed

About

Filippo Ballerini is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Filippo Ballerini has authored 55 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Hematology, 19 papers in Genetics and 19 papers in Oncology. Recurrent topics in Filippo Ballerini's work include Acute Myeloid Leukemia Research (19 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Multiple Myeloma Research and Treatments (11 papers). Filippo Ballerini is often cited by papers focused on Acute Myeloid Leukemia Research (19 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Multiple Myeloma Research and Treatments (11 papers). Filippo Ballerini collaborates with scholars based in Italy, United States and Switzerland. Filippo Ballerini's co-authors include Maurizio Miglino, Riccardo Varaldo, Marco Gobbi, Andrea Bacigalupo, Carmen Di Grazia, Marino Clavio, Anna Ghiso, Anna Maria Raiola, Alida Dominietto and Stefania Bregante and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.

In The Last Decade

Filippo Ballerini

52 papers receiving 814 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Filippo Ballerini Italy 14 662 245 232 224 162 55 825
Martine Delain France 16 560 0.8× 266 1.1× 211 0.9× 134 0.6× 243 1.5× 35 893
Simona Iacobelli Italy 14 637 1.0× 220 0.9× 246 1.1× 99 0.4× 118 0.7× 36 851
Sabine Fürst France 16 589 0.9× 191 0.8× 75 0.3× 184 0.8× 141 0.9× 46 727
ZiYi Lim United Kingdom 10 633 1.0× 125 0.5× 158 0.7× 194 0.9× 144 0.9× 28 784
Brian McClune United States 15 750 1.1× 323 1.3× 213 0.9× 121 0.5× 278 1.7× 68 998
Jens Freiberg‐Richter Germany 13 523 0.8× 236 1.0× 76 0.3× 231 1.0× 118 0.7× 27 752
Sumithira Vasu United States 13 424 0.6× 380 1.6× 144 0.6× 120 0.5× 89 0.5× 78 851
Jean Henri Bourhis France 13 1.2k 1.8× 328 1.3× 232 1.0× 179 0.8× 278 1.7× 28 1.3k
Silvia Luchetti Italy 10 678 1.0× 240 1.0× 85 0.4× 200 0.9× 158 1.0× 17 793
Priscille Bourquelot France 13 485 0.7× 383 1.6× 452 1.9× 171 0.8× 54 0.3× 28 945

Countries citing papers authored by Filippo Ballerini

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Ballerini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Ballerini

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Ballerini. A scholar is included among the top collaborators of Filippo Ballerini 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 Filippo Ballerini. Filippo Ballerini 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
1.
Guolo, Fabio, Francesca Riccardi, C Perrone, et al.. (2025). The protective role of HCWs communication for the distress of newly diagnosed people with leukemia and lymphoma. PEC Innovation. 7. 100439–100439.
3.
Casaccia, M, Roberto M. Lemoli, Emanuele Angelucci, et al.. (2020). Feasibility of Single-Port Laparoscopic Lymph Node Biopsy for Intra-Abdominal Lymphoma: A Case Series. Journal of Laparoendoscopic & Advanced Surgical Techniques. 31(4). 458–461. 1 indexed citations
4.
Marcolin, R, Fabio Guolo, Paola Minetto, et al.. (2019). A simple cytofluorimetric score may optimize testing for biallelic CEBPA mutations in patients with acute myeloid leukemia. Leukemia Research. 86. 106223–106223. 9 indexed citations
5.
Minetto, Paola, Fabio Guolo, Marino Clavio, et al.. (2017). Patient and Therapy-Related Factors Affecting the Toxicity of Pegylated-Asparaginase for the Treatment of Adult Acute Lymphoblastic Leukemia. Blood. 130. 1297–1297. 3 indexed citations
6.
Tatarelli, Paola, Fabio Guolo, Paola Minetto, et al.. (2017). Good tolerability of high dose colistin-based therapy in patients with haematological malignancies. Infection. 45(4). 505–511. 3 indexed citations
8.
Clavio, Marino, Anna Maria Raiola, Anna Ghiso, et al.. (2014). Liposomal daunorubicin, fludarabine, and cytarabine (FLAD) as bridge therapy to stem cell transplant in relapsed and refractory acute leukemia. Annals of Hematology. 93(12). 2011–2018. 15 indexed citations
9.
Clavio, Marino, Raffaella Grasso, Nicoletta Colombo, et al.. (2013). Integrating post induction WT1 quantification and flow-cytometry results improves minimal residual disease stratification in acute myeloid leukemia. Leukemia Research. 37(12). 1606–1611. 27 indexed citations
11.
12.
Raiola, Anna Maria, Alida Dominietto, Anna Ghiso, et al.. (2012). Unmanipulated Haploidentical Bone Marrow Transplantation and Posttransplantation Cyclophosphamide for Hematologic Malignancies after Myeloablative Conditioning. Biology of Blood and Marrow Transplantation. 19(1). 117–122. 264 indexed citations
13.
Bassetti, Matteo, Franco Aversa, Filippo Ballerini, et al.. (2011). Amphotericin B Lipid Complex in the Management of Invasive Fungal Infections in Immunocompromised Patients. Clinical Drug Investigation. 31(11). 745–758. 12 indexed citations
14.
Miglino, Maurizio, Nicoletta Colombo, Gian-Matteo Pica, et al.. (2011). WT1 overexpression at diagnosis may predict favorable outcome in patients withde novonon-M3 acute myeloid leukemia. Leukemia & lymphoma. 52(10). 1961–1969. 32 indexed citations
16.
Clavio, Marino, Ivana Pierri, Maurizio Miglino, et al.. (2004). Combination of liposomal daunorubicin (DaunoXome), fludarabine, and cytarabine (FLAD) in patients with poor-risk acute leukemia. Annals of Hematology. 83(11). 696–703. 23 indexed citations
17.
Tosi, P., Elena Zamagni, Claudia Cellini, et al.. (2002). Salvage Therapy With Thalidomide In Patients With Advanced Relapsed/Refractory Multiple Myeloma. Journal of the Peripheral Nervous System. 7(3). 209–209. 8 indexed citations
18.
Barosi, Giovanni, Michelle A. Elliott, Letizia Canepa, et al.. (2002). Thalidomide in Myelofibrosis with Myeloid Metaplasia: A Pooled-analysis of Individual Patient Data from Five Studies. Leukemia & lymphoma. 43(12). 2301–2307. 65 indexed citations
19.
Canepa, Letizia, Filippo Ballerini, Riccardo Varaldo, et al.. (2001). Thalidomide in agnogenic and secondary myelofibrosis. British Journal of Haematology. 115(2). 313–315. 40 indexed citations
20.
Clavio, Marino, María Angélica Miglino, Mauro Spriano, et al.. (1998). First line Fludarabine treatment of symptomatic chronic lymphoproliferative diseases: clinical results and molecular analysis of minimal residual disease. European Journal Of Haematology. 61(3). 197–203. 22 indexed citations

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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