Angelo Famà

772 total citations
22 papers, 334 citations indexed

About

Angelo Famà is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology. According to data from OpenAlex, Angelo Famà has authored 22 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 8 papers in Genetics and 8 papers in Oncology. Recurrent topics in Angelo Famà's work include Lymphoma Diagnosis and Treatment (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Viral-associated cancers and disorders (5 papers). Angelo Famà is often cited by papers focused on Lymphoma Diagnosis and Treatment (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Viral-associated cancers and disorders (5 papers). Angelo Famà collaborates with scholars based in Italy, United States and Austria. Angelo Famà's co-authors include Maurizio Martelli, Michele Spina, Salvatrice Mancuso, Maria Giuseppina Cabras, Alberto Fabbri, Benedetta Puccini, Giuseppe Rossi, Caterina Stelitano, Alessandra Tucci and Flavia Salvi and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Infectious Diseases.

In The Last Decade

Angelo Famà

20 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelo Famà Italy 10 164 104 92 51 43 22 334
Hélène Lanic France 9 262 1.6× 53 0.5× 129 1.4× 33 0.6× 64 1.5× 16 445
Antonella Romanelli Italy 7 132 0.8× 41 0.4× 127 1.4× 6 0.1× 35 0.8× 9 333
Gino Crivellari Italy 9 59 0.4× 13 0.1× 91 1.0× 12 0.2× 19 0.4× 17 302
Nicolás Martínez‐Calle United Kingdom 13 248 1.5× 178 1.7× 142 1.5× 7 0.1× 161 3.7× 37 476
Qu Cui China 13 85 0.5× 75 0.7× 151 1.6× 2 0.0× 91 2.1× 36 527
Julie Vose United States 9 93 0.6× 82 0.8× 188 2.0× 3 0.1× 12 0.3× 18 360
Philip Imus United States 12 46 0.3× 58 0.6× 231 2.5× 5 0.1× 27 0.6× 40 583
Dominic Kaddu‐Mulindwa Germany 8 76 0.5× 58 0.6× 100 1.1× 1 0.0× 37 0.9× 37 296
David Bosler United States 7 74 0.5× 56 0.5× 54 0.6× 41 1.0× 30 263
Anna K. Dewan United States 10 115 0.7× 83 0.8× 309 3.4× 21 0.5× 24 496

Countries citing papers authored by Angelo Famà

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Famà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Famà

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Famà. A scholar is included among the top collaborators of Angelo Famà 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 Angelo Famà. Angelo Famà 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
2.
King, Rebecca L., Arushi Khurana, Raphael Mwangi, et al.. (2021). Clinicopathologic Characteristics, Treatment, and Outcomes of Post-transplant Lymphoproliferative Disorders: A Single-institution Experience Using 2017 WHO Diagnostic Criteria. HemaSphere. 5(10). e640–e640. 11 indexed citations
3.
Mondello, Patrizia, Angelo Famà, Melissa C. Larson, et al.. (2020). Prognostic relevance of CD4+ T-cells in the microenvironment of newly diagnosed follicular lymphoma (FL) patients is independent of the tumor gene expression profile.. Journal of Clinical Oncology. 38(15_suppl). 8052–8052. 1 indexed citations
4.
Luminari, Stefano, Benedetta Donati, Massimiliano Casali, et al.. (2019). A Gene Expression–based Model to Predict Metabolic Response After Two Courses of ABVD in Hodgkin Lymphoma Patients. Clinical Cancer Research. 26(2). 373–383. 11 indexed citations
5.
Famà, Angelo, Melissa C. Larson, Brian K. Link, et al.. (2019). Human Pegivirus Infection and Lymphoma Risk: A Systematic Review and Meta-analysis. Clinical Infectious Diseases. 71(5). 1221–1228. 22 indexed citations
6.
Mondello, Patrizia, Angelo Famà, Melissa C. Larson, et al.. (2019). Intrafollicular CD4+ T-Cells As an Independent Predictor of Early Clinical Failure in Newly Diagnosed Follicular Lymphoma. Blood. 134(Supplement_1). 121–121. 5 indexed citations
7.
Lippi, Marco, Angelo Famà, Massimiliano Casali, et al.. (2019). Texture analysis and multiple-instance learning for the classification of malignant lymphomas. Computer Methods and Programs in Biomedicine. 185. 105153–105153. 33 indexed citations
8.
Donati, Benedetta, Massimiliano Casali, Angelo Famà, et al.. (2019). A GENE EXPRESSION‐BASED SCORE TO PREDICT INTERIM PET POSITIVITY IN HODGKIN LYMPHOMA PATIENTS TREATED WITH ABVD. Hematological Oncology. 37(S2). 48–48.
9.
Famà, Angelo, Peter Martin, Cristine Allmer, et al.. (2019). Vulnerable Elders Survey-13 (VES-13) Predicts 1-Year Mortality Risk in Newly Diagnosed Non-Hodgkin Lymphoma (NHL). Blood. 134(Supplement_1). 69–69. 9 indexed citations
10.
Famà, Angelo, Jinhua Xiang, Brian K. Link, et al.. (2018). Human Pegivirus infection and lymphoma risk and prognosis: a North American study. British Journal of Haematology. 182(5). 644–653. 20 indexed citations
12.
Latagliata, Roberto, Nicola Polverelli, Alessia Tieghi, et al.. (2017). Comparison of JAK2V617F‐positive essential thrombocythaemia and early primary myelofibrosis: The impact of mutation burden and histology. Hematological Oncology. 36(1). 269–275. 12 indexed citations
13.
Tortorella, Giovanni, Andrea Piccin, Alessia Tieghi, et al.. (2015). Anagrelide treatment and cardiovascular monitoring in essential thrombocythemia. A prospective observational study. Leukemia Research. 39(6). 592–598. 19 indexed citations
15.
Angelis, Federico De, Alice Di Rocco, Clara Minotti, et al.. (2012). Atypical presentation of anaplastic large T-cell lymphoma mimicking an articular relapse of rheumatoid arthritis in a patient treated with etanercept. A case report and literature review. Leukemia Research. 36(9). e199–e201. 3 indexed citations
16.
Girmenia, Corrado, Anna Maria Frustaci, Angelo Famà, et al.. (2011). New category of probable invasive pulmonary aspergillosis in haematological patients. Clinical Microbiology and Infection. 18(10). 990–996. 14 indexed citations
17.
Famà, Angelo, Angela Rago, Chiara Marzano, et al.. (2010). [Budd-Chiari syndrome and splanchnic vein thrombosis: masked myeloproliferative neoplasms and JAK2V617F].. PubMed. 161(2). 169–71. 1 indexed citations
18.
Latagliata, Roberto, Angela Rago, Antonio Spadea, et al.. (2009). Decisional flow with a scoring system to start platelet-lowering treatment in patients with essential thrombocythemia: long-term results. International Journal of Hematology. 90(4). 486–491. 1 indexed citations
19.
Rughetti, Aurelia, Angelo Famà, Silvia von Mensdorff‐Pouilly, et al.. (2008). Circulating MUC1 Levels (CA15.3) in Myeloproliferative Disorders (MPD). Blood. 112(11). 5237–5237. 2 indexed citations
20.
Breccia, Massimo, Daniela Cilloni, Laura Cannella, et al.. (2008). Isolated molecular relapse in FIP1L1-PDGFRα hypereosinophilic syndrome after discontinuation and single weekly dose of imatinib: need of quantitative molecular procedures to modulate imatinib dose. Cancer Chemotherapy and Pharmacology. 63(6). 1161–1163. 2 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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