Filippo Ciceri

1.5k total citations · 1 hit paper
17 papers, 756 citations indexed

About

Filippo Ciceri is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Filippo Ciceri has authored 17 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Genetics. Recurrent topics in Filippo Ciceri's work include Histone Deacetylase Inhibitors Research (9 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related gene regulation (4 papers). Filippo Ciceri is often cited by papers focused on Histone Deacetylase Inhibitors Research (9 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related gene regulation (4 papers). Filippo Ciceri collaborates with scholars based in United Kingdom, United States and Italy. Filippo Ciceri's co-authors include Tim C. P. Somervaille, James T. Lynch, Gary J. Spencer, Yaoyong Li, Allan M. Jordan, James R. Hitchin, William J. Harris, Xu Huang, Donald Ogilvie and Brigit Greystoke and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Filippo Ciceri

15 papers receiving 742 citations

Hit Papers

The Histone Demethylase KDM1A Sustains the Oncogenic Pote... 2012 2026 2016 2021 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Histone Demethylase KDM1A Sustains the Oncogenic Potential of MLL-AF9 Leukemia Stem Cells
    2012 432 citations William J. Harris, Xu Huang et al. Cancer Cell profile →

Peers

Filippo Ciceri
Alba Maiqués-Díaz United Kingdom
F.D. Böhmer Germany
Liting Xue United States
Z M Mu United States
Stuart Murray United States
Le Xuan Truong Nguyen United States
Mengtao Xiao China
Yoshiki Sumitomo Japan
María Guillamot United States
Emilie Voltz France
Alba Maiqués-Díaz United Kingdom
Filippo Ciceri
Citations per year, relative to Filippo Ciceri Filippo Ciceri (= 1×) peers Alba Maiqués-Díaz

Countries citing papers authored by Filippo Ciceri

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Ciceri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Ciceri

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Ciceri. A scholar is included among the top collaborators of Filippo Ciceri 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 Ciceri. Filippo Ciceri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ciceri, Filippo, Jair Tenorio, Tamara Maes, et al.. (2025). Phenotype and psychometric characterization of Phelan-McDermid syndrome patients: pioneering towards personalized medicine. Frontiers in Psychiatry. 16. 1511962–1511962.
2.
Spencer, Gary J., Nigel Brooks, Fabio M. R. Amaral, et al.. (2022). Therapeutic Targeting of EP300/CBP By Bromodomain Inhibition in Acute Myeloid Leukemia. Blood. 140(Supplement 1). 8774–8775. 4 indexed citations
3.
Finocchiaro, Giovanna, Bernhard Gentner, Marica Eoli, et al.. (2021). 379TiP TEM-GBM: A phase I-IIa clinical study of genetically modified Tie-2-expressing monocytes in patients with glioblastoma multiforme. Annals of Oncology. 32. S528–S528. 1 indexed citations
4.
Bossi, Eleonora, Greta Carioli, Carlo Signorelli, et al.. (2021). After Action Reviews to assess COVID-19 hospital responses. European Journal of Public Health. 31(Supplement_3). 1 indexed citations
5.
Mascaró, Cristina, Alberto Ortega, Elena Carceller, et al.. (2019). Chemoprobe-based assays of histone lysine demethylase 1A target occupation enable in vivo pharmacokinetics and pharmacodynamics studies of KDM1A inhibitors. Journal of Biological Chemistry. 294(20). 8311–8322. 12 indexed citations
6.
Maes, Tamara, Cristina Mascaró, Natalia Sacilotto, Michele MP Lufino, & Filippo Ciceri. (2019). Targeting KDM1A with iadademstat in combination with immunotherapy in an in vivo model of melanoma.. Journal of Clinical Oncology. 37(15_suppl). e14248–e14248. 4 indexed citations
7.
Rivers, Angela, Kestis Vaitkus, Ramasamy Jagadeeswaran, et al.. (2018). Oral administration of the LSD1 inhibitor ORY-3001 increases fetal hemoglobin in sickle cell mice and baboons. Experimental Hematology. 67. 60–64.e2. 18 indexed citations
8.
Maiqués-Díaz, Alba, Gary J. Spencer, James T. Lynch, et al.. (2018). Enhancer Activation by Pharmacologic Displacement of LSD1 from GFI1 Induces Differentiation in Acute Myeloid Leukemia. Cell Reports. 22(13). 3641–3659. 137 indexed citations
9.
Rivers, Angela, Kestis Vaitkus, Ramasamy Jagadeeswaran, et al.. (2017). Oral Administration of the LSD1 Inhibitor OG-S1335 Increases Fetal Hemoglobin in Humanized Transgenic Sickle Cell Disease Mice and in Baboons. Blood. 130. 356–356. 1 indexed citations
10.
Ciceri, Filippo, David Rotllant, & Tamara Maes. (2017). Understanding Epigenetic Alterations in Alzheimer's and Parkinson's Disease: Towards Targeted Biomarkers and Therapies. Current Pharmaceutical Design. 23(5). 839–857. 17 indexed citations
11.
Bianchi, Mattia, et al.. (2017). Content-Based approaches for Cold-Start Job Recommendations. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 11 indexed citations
12.
Maes, Tamara, Cristina Mascaró, Alberto Ortega, et al.. (2015). KDM1 Histone Lysine Demethylases as Targets for Treatments of Oncological and Neurodegenerative Disease. Epigenomics. 7(4). 609–626. 61 indexed citations
13.
Lynch, James T., Gary J. Spencer, William J. Harris, et al.. (2014). Pharmacological Inhibitors of LSD1 Promote Differentiation of Myeloid Leukemia Cells through a Mechanism Independent of Histone Demethylation. Blood. 124(21). 267–267. 8 indexed citations
14.
Huang, Xu, Gary J. Spencer, James T. Lynch, et al.. (2013). Enhancers of Polycomb EPC1 and EPC2 sustain the oncogenic potential of MLL leukemia stem cells. Leukemia. 28(5). 1081–1091. 33 indexed citations
15.
Huang, Xu, James T. Lynch, James R. Hitchin, et al.. (2012). The Histone Demethylase KDM1A Sustains the Oncogenic Potential of MLL-AF9 Leukemia Stem Cells. Cancer Cell. 21(6). 856–856. 15 indexed citations
16.
Harris, William J., Xu Huang, James T. Lynch, et al.. (2012). The Histone Demethylase KDM1A Sustains the Oncogenic Potential of MLL-AF9 Leukemia Stem Cells. Cancer Cell. 21(4). 473–487. 432 indexed citations breakdown →
17.

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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