Maurizio Affer

2.0k total citations
22 papers, 843 citations indexed

About

Maurizio Affer is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Maurizio Affer has authored 22 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Hematology and 6 papers in Genetics. Recurrent topics in Maurizio Affer's work include Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (5 papers) and Acute Myeloid Leukemia Research (3 papers). Maurizio Affer is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (5 papers) and Acute Myeloid Leukemia Research (3 papers). Maurizio Affer collaborates with scholars based in United States, Italy and Netherlands. Maurizio Affer's co-authors include P. Leif Bergsagel, Marta Chesi, Davide F. Robbiani, Rafaël Fonseca, Michaël Sébag, Giorgio Cattoretti, Scott Ely, Richard Kremer, Suzanne Trudel and Riccardo Valdez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Cancer Cell.

In The Last Decade

Maurizio Affer

20 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maurizio Affer United States 11 571 401 176 100 92 22 843
Jorge DiMartino United States 14 829 1.5× 588 1.5× 217 1.2× 117 1.2× 140 1.5× 42 1.2k
Guilhem Requirand France 15 561 1.0× 421 1.0× 225 1.3× 180 1.8× 70 0.8× 34 869
Maria Askmyr Sweden 12 311 0.5× 392 1.0× 206 1.2× 203 2.0× 126 1.4× 23 810
Trinayan Kashyap United States 19 756 1.3× 342 0.9× 234 1.3× 73 0.7× 67 0.7× 57 934
Amitava Sengupta India 15 460 0.8× 237 0.6× 114 0.6× 103 1.0× 103 1.1× 38 718
Lars Klemm United States 11 425 0.7× 220 0.5× 189 1.1× 185 1.9× 106 1.2× 34 818
Sophie Derenne France 8 418 0.7× 338 0.8× 362 2.1× 159 1.6× 59 0.6× 11 780
Chung Hoow Kok Australia 17 338 0.6× 454 1.1× 153 0.9× 116 1.2× 245 2.7× 68 800
Kim L. Rice United States 12 550 1.0× 254 0.6× 112 0.6× 98 1.0× 62 0.7× 17 777
Afua A. Mensah Switzerland 15 638 1.1× 309 0.8× 173 1.0× 119 1.2× 143 1.6× 30 931

Countries citing papers authored by Maurizio Affer

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Affer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurizio Affer

This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Affer. A scholar is included among the top collaborators of Maurizio Affer 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 Maurizio Affer. Maurizio Affer 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.
Watts, Justin M., Maurizio Affer, Jennifer R. Chapman, et al.. (2025). Functional cure with single agent olutasidenib in relapsed IDH1/NPM1 co-mutated AML. npj Precision Oncology. 9(1). 211–211.
2.
Affer, Maurizio, Siôn L. Williams, Ana C. Ayupe, et al.. (2024). Clinical Application of Single-Cell MRD By Genotype and Phenotype in AML. Blood. 144(Supplement 1). 4333–4333.
3.
Kurimchak, Alison, Katherine Johnson, Maurizio Affer, et al.. (2024). RAPID resistance to BET inhibitors is mediated by FGFR1 in glioblastoma. Scientific Reports. 14(1). 9284–9284. 3 indexed citations
4.
Beckedorff, Felipe, Tulasigeri M. Totiger, Maurizio Affer, et al.. (2023). Altered RNA Export in SF3B1 Mutants Increases Sensitivity to Nuclear Export Inhibition. Blood. 142(Supplement 1). 44–44. 1 indexed citations
5.
Affer, Maurizio, et al.. (2023). Preparation of Cytoplasmic and Nuclear Long RNAs from Primary and Cultured Cells. Journal of Visualized Experiments. 1 indexed citations
6.
Totiger, Tulasigeri M., Evan R. Roberts, Maurizio Affer, et al.. (2022). Combination venetoclax and selinexor effective in relapsed refractory multiple myeloma with translocation t(11;14). npj Precision Oncology. 6(1). 73–73. 12 indexed citations
7.
Affer, Maurizio, et al.. (2022). A dual aurora and lim kinase inhibitor reduces glioblastoma proliferation and invasion. Bioorganic & Medicinal Chemistry Letters. 61. 128614–128614. 8 indexed citations
8.
Affer, Maurizio, et al.. (2021). Targeted Therapies in Cancer: To Be or Not to Be, Selective. Biomedicines. 9(11). 1591–1591. 27 indexed citations
9.
Cho, Alice, Robert C. Kauffman, Maurizio Affer, et al.. (2019). Single-Cell Analysis Suggests that Ongoing Affinity Maturation Drives the Emergence of Pemphigus Vulgaris Autoimmune Disease. Cell Reports. 28(4). 909–922.e6. 36 indexed citations
10.
Ferrall‐Fairbanks, Meghan C., et al.. (2017). PACMANS: A bioinformatically informed algorithm to predict, design, and disrupt protease‐on‐protease hydrolysis. Protein Science. 26(4). 880–890. 9 indexed citations
11.
Affer, Maurizio, Marta Chesi, Jonathan J. Keats, et al.. (2014). Promiscuous MYC locus rearrangements hijack enhancers but mostly super-enhancers to dysregulate MYC expression in multiple myeloma. Leukemia. 28(8). 1725–1735. 181 indexed citations
12.
13.
Affer, Maurizio, Adam B. Olshen, Agnès Viale, et al.. (2011). Gene Expression Differences between Enriched Normal and Chronic Myelogenous Leukemia Quiescent Stem/Progenitor Cells and Correlations with Biological Abnormalities. Journal of Oncology. 2011. 1–25. 30 indexed citations
14.
Chesi, Marta, Davide F. Robbiani, Michaël Sébag, et al.. (2008). AID-Dependent Activation of a MYC Transgene Induces Multiple Myeloma in a Conditional Mouse Model of Post-Germinal Center Malignancies. Cancer Cell. 13(2). 167–180. 259 indexed citations
15.
Affer, Maurizio, Davide F. Robbiani, Marta Chesi, & P. Leif Bergsagel. (2004). Ectopic Fibroblast Growth Factor Receptor 3 (FGFR3) Expression Mediated by Isotype Switch Recombination.. Blood. 104(11). 78–78. 8 indexed citations
16.
Trudel, Suzanne, Scott Ely, Maurizio Affer, et al.. (2004). Inhibition of fibroblast growth factor receptor 3 induces differentiation and apoptosis in t(4;14) myeloma. Blood. 103(9). 3521–3528. 133 indexed citations
17.
Hol, Frans A., Marga Schepens, Sylvia E. C. van Beersum, et al.. (2000). Identification and Characterization of an Xq26–q27 Duplication in a Family with Spina Bifida and Panhypopituitarism Suggests the Involvement of Two Distinct Genes. Genomics. 69(2). 174–181. 53 indexed citations
18.
Zucchi, Ileana, Maurizio Affer, Cristina Montagna, et al.. (1999). Transcription Map of Xq27: Candidates for Several X-Linked Diseases. Genomics. 57(2). 209–218. 16 indexed citations
19.
Pizzuti, Antonio, Tullio Labella, Maurizio Affer, et al.. (1999). Mapping of the MYCL2 processed gene to Xq22‐23 and identification of an additional L MYC‐related sequence in Xq27.2. FEBS Letters. 446(2-3). 273–277. 8 indexed citations
20.
Zucchi, Ileana, Cristina Montagna, S. P. Lucia, et al.. (1999). Genetic dissection of dome formation in a mammary cell line: Identification of two genes with opposing action. Proceedings of the National Academy of Sciences. 96(24). 13766–13770. 26 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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