M Fagioli

5.4k total citations · 2 hit papers
46 papers, 4.5k citations indexed

About

M Fagioli is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, M Fagioli has authored 46 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Hematology and 16 papers in Immunology. Recurrent topics in M Fagioli's work include Retinoids in leukemia and cellular processes (24 papers), Acute Myeloid Leukemia Research (16 papers) and Lymphoma Diagnosis and Treatment (8 papers). M Fagioli is often cited by papers focused on Retinoids in leukemia and cellular processes (24 papers), Acute Myeloid Leukemia Research (16 papers) and Lymphoma Diagnosis and Treatment (8 papers). M Fagioli collaborates with scholars based in Italy, Germany and France. M Fagioli's co-authors include Pier Giuseppe Pelicci, F Grignani, Myriam Alcalay, Brunangelo Falini, Andrea Biondi, Amedea Mencarelli, Pier Paolo Pandolfi, Stefano Pileri, Pier Francesco Ferrucci and Carla Sebastiani and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

M Fagioli

46 papers receiving 4.4k citations

Hit Papers

PML regulates p53 acetyla... 1993 2026 2004 2015 2000 1993 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Fagioli Italy 27 3.4k 2.4k 939 695 534 46 4.5k
Norio Asou Japan 34 2.4k 0.7× 2.9k 1.2× 1.0k 1.1× 783 1.1× 225 0.4× 180 4.8k
Ian D. Dubé Canada 26 1.8k 0.5× 1.1k 0.5× 286 0.3× 391 0.6× 638 1.2× 69 2.9k
Angus M. Sinclair United States 25 1.6k 0.5× 917 0.4× 419 0.4× 577 0.8× 733 1.4× 60 2.9k
J D Griffin United States 32 1.3k 0.4× 945 0.4× 1.5k 1.6× 897 1.3× 252 0.5× 47 3.7k
François Sigaux France 30 1.8k 0.5× 989 0.4× 1.1k 1.2× 954 1.4× 215 0.4× 76 3.8k
T. R. Bradley Australia 27 976 0.3× 1.3k 0.5× 929 1.0× 764 1.1× 374 0.7× 65 3.0k
Ivo P. Touw Netherlands 42 1.9k 0.5× 1.7k 0.7× 2.6k 2.7× 2.0k 2.8× 1.6k 3.0× 145 5.7k
Serge Fichelson France 29 1.2k 0.4× 1.1k 0.5× 482 0.5× 339 0.5× 360 0.7× 65 2.5k
F Birg France 24 860 0.3× 812 0.3× 528 0.6× 383 0.6× 248 0.5× 44 1.9k
Mark Blick United States 28 1.0k 0.3× 830 0.4× 343 0.4× 999 1.4× 290 0.5× 55 2.8k

Countries citing papers authored by M Fagioli

Since Specialization
Citations

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

Fields of papers citing papers by M Fagioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Fagioli

This figure shows the co-authorship network connecting the top 25 collaborators of M Fagioli. A scholar is included among the top collaborators of M Fagioli 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 M Fagioli. M Fagioli 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.
Fagioli, M, et al.. (2015). Using “deductive Method” in Psychotherapy: a Change of Paradigm in Clinical Practice From Quantum Field Theory. European Psychiatry. 30. 1625–1625. 1 indexed citations
2.
Alcalay, Myriam, Natalia Meani, Vania Gelmetti, et al.. (2003). Acute myeloid leukemia fusion proteins deregulate genes involved in stem cell maintenance and DNA repair. Journal of Clinical Investigation. 112(11). 1751–1761. 11 indexed citations
3.
Alcalay, Myriam, Natalia Meani, Vania Gelmetti, et al.. (2003). Acute myeloid leukemia fusion proteins deregulate genes involved in stem cell maintenance and DNA repair. Journal of Clinical Investigation. 112(11). 1751–1761. 196 indexed citations
4.
Alcalay, Myriam, Annette Orleth, Carla Sebastiani, et al.. (2001). Common themes in the pathogenesis of acute myeloid leukemia. Oncogene. 20(40). 5680–5694. 55 indexed citations
5.
Sebastiani, Carla, et al.. (2000). Retrovirus‐mediated transfer of the herpes simplex virus thymidine kinase and enhanced green fluorescence protein genes in primary T lymphocytes. British Journal of Haematology. 110(4). 903–906. 4 indexed citations
6.
Ferrucci, Pier Francesco, F Grignani, Mark Pearson, et al.. (1997). Cell death induction by the acute promyelocytic leukemia-specific PML/RARα fusion protein. Proceedings of the National Academy of Sciences. 94(20). 10901–10906. 55 indexed citations
7.
Grignani, F, Ugo Testa, Daniela Rogaia, et al.. (1996). Effects on differentiation by the promyelocytic leukemia PML/RARalpha protein depend on the fusion of the PML protein dimerization and RARalpha DNA binding domains.. The EMBO Journal. 15(18). 4949–4958. 120 indexed citations
9.
Lavau, Catherine, Agnès Marchio, M Fagioli, et al.. (1995). The acute promyelocytic leukaemia-associated PML gene is induced by interferon.. PubMed. 11(5). 871–6. 206 indexed citations
10.
Grignani, F, M Fagioli, Myriam Alcalay, et al.. (1994). Acute promyelocytic leukemia: from genetics to treatment. Blood. 83(1). 10–25. 400 indexed citations
11.
Grignani, F, M Fagioli, Myriam Alcalay, et al.. (1994). Pathogenetic Relevance Of The Acute Promyelocytic Leukemia-Specific PML/RARa Fusion Protein. 1 indexed citations
12.
Grignani, F, Pier Francesco Ferrucci, Ugo Testa, et al.. (1993). The acute promyelocytic leukemia-specific PML-RARα fusion protein inhibits differentiation and promotes survival of myeloid precursor cells. Cell. 74(3). 423–431. 519 indexed citations breakdown →
14.
Alcalay, Myriam, D Zangrilli, M Fagioli, et al.. (1992). Expression pattern of the RAR alpha-PML fusion gene in acute promyelocytic leukemia.. Proceedings of the National Academy of Sciences. 89(11). 4840–4844. 125 indexed citations
15.
Alcalay, Myriam, Letizia Longo, M Fagioli, et al.. (1992). Molecular genetics of the t(15;17) of acute promyelocytic leukemia (APPL).. PubMed. 6 Suppl 3. 120S–122S. 6 indexed citations
16.
Carè, Alessandra, Pier Giuseppe Pelicci, Ettore Meccia, et al.. (1990). Natural killer cells carry the germ‐line configuration of the T cell receptor δ chain gene and heterogeneously express six distinct δ transcripts. European Journal of Immunology. 20(4). 939–942. 6 indexed citations
17.
Falini, Brunangelo, Stefano Pileri, MF Martelli, et al.. (1990). Peripheral T-cell lymphoma associated with hemophagocytic syndrome [see comments]. Blood. 75(2). 434–444. 160 indexed citations
18.
Falini, Brunangelo, Leonardo Flenghi, M Fagioli, et al.. (1989). T-lymphoblastic lymphomas expressing the non-disulfide-linked form of the T-cell receptor gamma/delta: characterization with monoclonal antibodies and genotypic analysis. Blood. 74(7). 2501–2507. 1 indexed citations
19.
Falini, Brunangelo, Roberto Binazzi, S. Pileri, et al.. (1988). Large cell lymphoma of bone. A report of three cases of B‐cell origin. Histopathology. 12(2). 177–190. 16 indexed citations
20.

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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