Francesco Merli

9.9k total citations · 2 hit papers
157 papers, 4.3k citations indexed

About

Francesco Merli is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Francesco Merli has authored 157 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Pathology and Forensic Medicine, 66 papers in Oncology and 45 papers in Genetics. Recurrent topics in Francesco Merli's work include Lymphoma Diagnosis and Treatment (115 papers), Viral-associated cancers and disorders (40 papers) and Chronic Lymphocytic Leukemia Research (39 papers). Francesco Merli is often cited by papers focused on Lymphoma Diagnosis and Treatment (115 papers), Viral-associated cancers and disorders (40 papers) and Chronic Lymphocytic Leukemia Research (39 papers). Francesco Merli collaborates with scholars based in Italy, United States and France. Francesco Merli's co-authors include Stefano Luminari, Caterina Stelitano, Massimo Federico, Umberto Vitolo, Luigi Rigacci, Luigi Marcheselli, Francesco Di Raimondo, Paolo G. Gobbi, Emilio Iannitto and Alessandro Levis and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Francesco Merli

152 papers receiving 4.3k citations

Hit Papers

Early Interim 2-[ 18 F]Fluoro-2-Deoxy-D-Glucose Positron ... 2007 2026 2013 2019 2007 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Merli Italy 33 3.4k 1.8k 1.2k 1.0k 912 157 4.3k
Caterina Stelitano Italy 32 3.0k 0.9× 1.4k 0.8× 1.3k 1.1× 851 0.8× 632 0.7× 114 3.8k
Stefano Luminari Italy 35 4.3k 1.3× 2.6k 1.4× 1.3k 1.1× 1.1k 1.1× 953 1.0× 216 5.6k
Christophe Fermé France 26 3.7k 1.1× 2.4k 1.3× 1.3k 1.1× 617 0.6× 370 0.4× 98 4.3k
Lars Møller Pedersen Denmark 28 2.1k 0.6× 1.4k 0.8× 564 0.5× 586 0.6× 705 0.8× 103 3.4k
Matthew J. Matasar United States 32 2.7k 0.8× 2.4k 1.3× 897 0.8× 353 0.4× 567 0.6× 190 3.9k
Judith Trotman Australia 27 2.7k 0.8× 1.3k 0.7× 592 0.5× 576 0.6× 738 0.8× 159 3.6k
Catherine Sebban France 24 2.3k 0.7× 1.8k 1.0× 575 0.5× 405 0.4× 332 0.4× 68 3.0k
Ralph Naumann Germany 21 1.6k 0.5× 986 0.5× 604 0.5× 588 0.6× 819 0.9× 52 2.9k
Fabrice Jardin France 37 2.6k 0.8× 1.8k 1.0× 500 0.4× 548 0.5× 505 0.6× 217 4.4k
Dok Hyun Yoon South Korea 35 2.1k 0.6× 2.4k 1.3× 541 0.5× 785 0.8× 288 0.3× 303 4.3k

Countries citing papers authored by Francesco Merli

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Merli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Merli

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Merli. A scholar is included among the top collaborators of Francesco Merli 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 Francesco Merli. Francesco Merli 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.
Zedde, Marialuisa, Micol Quaresima, Isabella Capodanno, et al.. (2024). Neurovascular Manifestations of Sickle Cell Disease. SHILAP Revista de lepidopterología. 5(3). 277–320. 2 indexed citations
2.
Penna, Domenico, Alessia Tieghi, Riccardo Valli, & Francesco Merli. (2023). Ruxolitinib: a new first-line strategy in autoimmune myelofibrosis treatment. Leukemia & lymphoma. 64(10). 1723–1726.
4.
Rocco, Alice Di, Antonio Cuneo, Arianna Di Rocco, et al.. (2020). Relapsed/refractory diffuse large B-cell lymphoma patients. A multicenter retrospective analysis of eligibility criteria for car-T cell therapy. Leukemia & lymphoma. 62(4). 828–836. 12 indexed citations
5.
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
7.
Foss, Francine M., Steven M. Horwitz, Monica Bellei, et al.. (2017). Outcome of Patients with Gamma Delta T Cell Lymphomas: Analysis of 1429 Cases Registered in the Prospective T-Cell Project. Blood. 130. 1512–1512. 3 indexed citations
8.
Frazzi, Raffaele, Eleonora Zanetti, Mariaelena Pistoni, et al.. (2017). Methylation changes of SIRT1, KLF4, DAPK1 and SPG20 in B-lymphocytes derived from follicular and diffuse large B-cell lymphoma. Leukemia Research. 57. 89–96. 27 indexed citations
9.
Zallio, Francesco, Stefania Tamiazzo, Chiara Monagheddu, et al.. (2016). Reduced intensity VEPEMB regimen compared with standard ABVD in elderly Hodgkin lymphoma patients: results from a randomized trial on behalf of the Fondazione Italiana Linfomi (FIL). British Journal of Haematology. 172(6). 879–888. 19 indexed citations
11.
Rossi, Davide, Alessio Bruscaggin, Sara Galimberti, et al.. (2015). The genotype of MLH1 identifies a subgroup of follicular lymphoma patients who do not benefit from doxorubicin: FIL-FOLL study. Haematologica. 100(4). 517–524. 4 indexed citations
13.
Merli, Francesco, Stefano Luminari, Giuseppe Rossi, et al.. (2013). Outcome of frail elderly patients with diffuse large B-cell lymphoma prospectively identified by Comprehensive Geriatric Assessment: results from a study of the Fondazione Italiana Linfomi. Leukemia & lymphoma. 55(1). 38–43. 56 indexed citations
14.
Luminari, Stefano, Irène Biasoli, Luca Arcaini, et al.. (2013). The use of FDG-PET in the initial staging of 142 patients with follicular lymphoma: a retrospective study from the FOLL05 randomized trial of the Fondazione Italiana Linfomi. Annals of Oncology. 24(8). 2108–2112. 110 indexed citations
16.
Merli, Francesco, Stefano Luminari, Fiorella Ilariucci, et al.. (2008). Rituximab Plus Hypercvad Alternating with High Dose Methotrexate and Cytarabine for Patients with Newly Diagnosed Mantle Cell Lymphoma. A Multicenter Trial from GISL. Blood. 112(11). 3050–3050. 6 indexed citations
17.
Merli, Francesco, Xiaodong Wang, & Giorgio M. Vitetta. (2008). A Bayesian Multiuser Detection Algorithm for MIMO-ODFM Systems Affected by Multipath Fading, Carrier Frequency Offset, and Phase Noise. IEEE Journal on Selected Areas in Communications. 26(3). 506–516. 19 indexed citations
18.
Gallamini, Andrea, Martin Hutchings, Luigi Rigacci, et al.. (2007). Early Interim 2-[ 18 F]Fluoro-2-Deoxy-D-Glucose Positron Emission Tomography Is Prognostically Superior to International Prognostic Score in Advanced-Stage Hodgkin's Lymphoma: A Report From a Joint Italian-Danish Study. Journal of Clinical Oncology. 25(24). 3746–3752. 552 indexed citations breakdown →
19.
Vallisa, Daniele, Luigi Cavanna, Raffaella Bertè, et al.. (1995). Autoimmune Thyroid Dysfunctions in Hematologic Malignancies Treated with Alpha-lnterferon. Acta Haematologica. 93(1). 31–35. 16 indexed citations
20.
Narni, Franco, Maria Mariano, Francesco Merli, et al.. (1989). T‐cell receptor genes expression in B‐cell leukaemias. British Journal of Haematology. 72(3). 343–349. 6 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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