Federica Cocito

575 total citations
22 papers, 231 citations indexed

About

Federica Cocito is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Federica Cocito has authored 22 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 9 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Federica Cocito's work include Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Federica Cocito is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Federica Cocito collaborates with scholars based in Italy, United States and New Zealand. Federica Cocito's co-authors include Alessandro Corso, Silvia Mangiacavalli, Virginia Valeria Ferretti, Alessandra Pompa, Marzia Varettoni, Mario Cazzola, Catherine Klersy, Cristiana Pascutto, Patrizia Zappasodi and Keiran Raine and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Federica Cocito

21 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federica Cocito Italy 10 159 118 83 37 27 22 231
Alessandra Pompa Italy 10 172 1.1× 101 0.9× 91 1.1× 50 1.4× 14 0.5× 23 244
Frank G. Basile United States 7 154 1.0× 142 1.2× 117 1.4× 16 0.4× 29 1.1× 17 242
Cameron Dell United States 5 157 1.0× 96 0.8× 145 1.7× 20 0.5× 80 3.0× 6 300
Pilar Herrera Spain 10 171 1.1× 55 0.5× 141 1.7× 69 1.9× 76 2.8× 18 335
Keqin Qi United States 10 164 1.0× 124 1.1× 180 2.2× 47 1.3× 24 0.9× 33 348
Richy Agajanian United States 10 150 0.9× 130 1.1× 145 1.7× 29 0.8× 28 1.0× 32 318
Sanjeevan Sharma India 11 216 1.4× 96 0.8× 59 0.7× 57 1.5× 31 1.1× 53 306
Parveen Shiraz United States 11 119 0.7× 70 0.6× 171 2.1× 20 0.5× 24 0.9× 35 330
Olga Samoylova Russia 5 78 0.5× 54 0.5× 100 1.2× 39 1.1× 43 1.6× 16 186
Maxine Hetherington United States 9 38 0.2× 50 0.4× 45 0.5× 28 0.8× 24 0.9× 15 279

Countries citing papers authored by Federica Cocito

Since Specialization
Citations

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

Fields of papers citing papers by Federica Cocito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Cocito

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Cocito. A scholar is included among the top collaborators of Federica Cocito 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 Federica Cocito. Federica Cocito 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.
Mauri, Mario, Federica Cocito, Daniele Ramazzotti, et al.. (2024). Anaplastic Lymphoma Kinase (ALK) Inhibitors Enhance Phagocytosis Induced by CD47 Blockade in Sensitive and Resistant ALK-Driven Malignancies. Biomedicines. 12(12). 2819–2819. 1 indexed citations
2.
Aroldi, Andrea, Mario Mauri, Daniele Ramazzotti, et al.. (2023). Effects of blocking CD24 and CD47 ‘don't eat me’ signals in combination with rituximab in mantle‐cell lymphoma and chronic lymphocytic leukaemia. Journal of Cellular and Molecular Medicine. 27(20). 3053–3064. 11 indexed citations
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Aroldi, Andrea, Lorenza Borin, Luisa Verga, et al.. (2022). Humoral and cellular immune response in patients with hematological disorders after two doses of BNT162b2 mRNA COVID‐19 vaccine: A single‐center prospective observational study (NCT05074706). SHILAP Revista de lepidopterología. 3(4). 1201–1208. 3 indexed citations
6.
Aroldi, Andrea, Mario Mauri, Matteo Parma, et al.. (2021). CD24/Siglec-10 "Don't Eat Me" Signal Blockade Is a Potential Immunotherapeutic Target in Mantle-Cell Lymphoma. Blood. 138(Supplement 1). 2276–2276. 13 indexed citations
7.
Casadei, Beatrice, et al.. (2021). Duvelisib as bridge to allotransplantation in refractory peripheral T-cell lymphoma with T-follicular helper phenotype: case report. Tumori Journal. 107(6). NP105–NP107. 1 indexed citations
8.
Cocito, Federica, Silvia Mangiacavalli, Virginia Valeria Ferretti, et al.. (2019). Smoldering multiple myeloma: the role of different scoring systems in identifying high-risk patients in real-life practice. Leukemia & lymphoma. 60(12). 2968–2974. 4 indexed citations
9.
Mangiacavalli, Silvia, Alessandra Pompa, Virginia Valeria Ferretti, et al.. (2016). The possible role of burden of therapy on the risk of myeloma extramedullary spread. Annals of Hematology. 96(1). 73–80. 37 indexed citations
10.
Mangiacavalli, Silvia, Sara Pezzatti, Fausto Rossini, et al.. (2016). Implemented myeloma management with whole-body low-dose CT scan: a real life experience. Leukemia & lymphoma. 57(7). 1539–1545. 10 indexed citations
11.
Bolli, Niccolò, Vijitha Sathiaseelan, Keiran Raine, et al.. (2016). A DNA target-enrichment approach to detect mutations, copy number changes and immunoglobulin translocations in multiple myeloma. Blood Cancer Journal. 6(9). e467–e467. 44 indexed citations
12.
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Montefusco, Vittorio, Mónica Galli, Francesco Spina, et al.. (2014). Autoimmune diseases during treatment with immunomodulatory drugs in multiple myeloma: selective occurrence after lenalidomide. Leukemia & lymphoma. 55(9). 2032–2037. 16 indexed citations
14.
Corso, Alessandro, Silvia Mangiacavalli, Federica Cocito, et al.. (2014). Correction: Long Term Evaluation of the Impact of Autologous Peripheral Blood Stem Cell Transplantation in Multiple Myeloma: A Cost-Effectiveness Analysis. PLoS ONE. 9(1). 1 indexed citations
15.
Mangiacavalli, Silvia, Virginia Valeria Ferretti, Alessandra Pompa, et al.. (2014). Psychological care of caregivers, nurses and physicians: a study of a new approach. Cancer Medicine. 3(1). 101–110. 23 indexed citations
16.
Mangiacavalli, Silvia, Cristiana Pascutto, Virginia Valeria Ferretti, et al.. (2013). High Prevalence Of Extramedullary Relapse In Patients With Multiple Myeloma Treated With Novel Biological Agents. Blood. 122(21). 1896–1896. 1 indexed citations
17.
Corso, Alessandro, Silvia Mangiacavalli, Federica Cocito, et al.. (2013). Long Term Evaluation of the Impact of Autologous Peripheral Blood Stem Cell Transplantation in Multiple Myeloma: A Cost-Effectiveness Analysis. PLoS ONE. 8(9). e75047–e75047. 11 indexed citations
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Mangiacavalli, Silvia, Federica Cocito, Cristiana Pascutto, et al.. (2012). Serum C-Terminal Telopeptide Maintains Its Correlation with Bone Disease in Myeloma Patients Even Under Treatment with Bisphosphonates. Blood. 120(21). 4003–4003. 1 indexed citations
20.
Varettoni, Marzia, Alessandro Corso, Federica Cocito, et al.. (2010). Changing Pattern of Presentation in Monoclonal Gammopathy of Undetermined Significance. Medicine. 89(4). 211–216. 14 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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