Donata Verdelli

679 total citations
14 papers, 532 citations indexed

About

Donata Verdelli is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Donata Verdelli has authored 14 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 9 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Donata Verdelli's work include Multiple Myeloma Research and Treatments (14 papers), Peptidase Inhibition and Analysis (4 papers) and Protein Degradation and Inhibitors (3 papers). Donata Verdelli is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Peptidase Inhibition and Analysis (4 papers) and Protein Degradation and Inhibitors (3 papers). Donata Verdelli collaborates with scholars based in Italy, Switzerland and Japan. Donata Verdelli's co-authors include Antonino Neri, Sonia Fabris, Luca Agnelli, Luigia Lombardi, Silvio Bicciato, Luca Baldini, Fortunato Morabito, Michela Mattioli, Daniela Intini and Vincenzo Callea and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Oncogene.

In The Last Decade

Donata Verdelli

14 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donata Verdelli Italy 10 398 346 145 75 67 14 532
Madhumita Santra United States 6 426 1.1× 432 1.2× 195 1.3× 41 0.5× 41 0.6× 9 532
Greg Ahmann United States 9 435 1.1× 410 1.2× 179 1.2× 56 0.7× 48 0.7× 18 541
Santiago Barrio Spain 13 359 0.9× 320 0.9× 169 1.2× 84 1.1× 68 1.0× 37 521
J Ackermann Austria 12 280 0.7× 287 0.8× 185 1.3× 85 1.1× 20 0.3× 17 445
Naozo Nakazawa Japan 8 238 0.6× 230 0.7× 94 0.6× 52 0.7× 23 0.3× 11 361
Bachisio Ziccheddu United States 11 260 0.7× 253 0.7× 175 1.2× 66 0.9× 97 1.4× 33 409
Jessica G. C. A. M. Buijs-Gladdines Netherlands 12 407 1.0× 508 1.5× 183 1.3× 132 1.8× 116 1.7× 24 1.0k
Marjan Geugien Netherlands 10 415 1.0× 215 0.6× 147 1.0× 69 0.9× 128 1.9× 13 605
L Pegoraro Italy 6 328 0.8× 316 0.9× 98 0.7× 75 1.0× 28 0.4× 15 551
Jessica Haug United States 10 303 0.8× 244 0.7× 141 1.0× 57 0.8× 38 0.6× 23 423

Countries citing papers authored by Donata Verdelli

Since Specialization
Citations

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

Fields of papers citing papers by Donata Verdelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donata Verdelli

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

All Works

14 of 14 papers shown
1.
Verdelli, Donata, Lucia Nobili, Katia Todoerti, et al.. (2013). Molecular events underlying interleukin‐6 independence in a subclone of the CMA‐03 multiple myeloma cell line. Genes Chromosomes and Cancer. 53(2). 154–167. 5 indexed citations
2.
Agnelli, Luca, Laura Mosca, Sonia Fabris, et al.. (2009). A SNP microarray and FISH‐based procedure to detect allelic imbalances in multiple myeloma: An integrated genomics approach reveals a wide gene dosage effect. Genes Chromosomes and Cancer. 48(7). 603–614. 107 indexed citations
3.
Verdelli, Donata, Lucia Nobili, Katia Todoerti, et al.. (2008). Molecular targeting of the PKC‐β inhibitor enzastaurin (LY317615) in multiple myeloma involves a coordinated downregulation of MYC and IRF4 expression. Hematological Oncology. 27(1). 23–30. 17 indexed citations
4.
Neri, Antonino, Sandra Marmiroli, Pierfrancesco Tassone, et al.. (2008). The oral protein-kinase Cβinhibitor enzastaurin (LY317615) suppresses signalling through the AKT pathway, inhibits proliferation and induces apoptosis in multiple myeloma cell lines. Leukemia & lymphoma. 49(7). 1374–1383. 33 indexed citations
5.
Agnelli, Luca, Sonia Fabris, Silvio Bicciato, et al.. (2007). Upregulation of translational machinery and distinct genetic subgroups characterise hyperdiploidy in multiple myeloma. British Journal of Haematology. 136(4). 565–573. 53 indexed citations
6.
Agnelli, Luca, Silvio Bicciato, Sonia Fabris, et al.. (2007). Integrative genomic analysis reveals distinct transcriptional and genetic features associated with chromosome 13 deletion in multiple myeloma. Haematologica. 92(1). 56–65. 15 indexed citations
7.
Lombardi, Luigia, Giulia Poretti, Michela Mattioli, et al.. (2006). Molecular characterization of human multiple myeloma cell lines by integrative genomics: Insights into the biology of the disease. Genes Chromosomes and Cancer. 46(3). 226–238. 50 indexed citations
8.
Neri, Antonino, Katia Todoerti, Luca Agnelli, et al.. (2006). Identification of Specific Transcriptional Patterns Associated with Hyperdiploidy in Multiple Myeloma.. Blood. 108(11). 3412–3412. 1 indexed citations
9.
Mattioli, Michela, Luca Agnelli, Sonia Fabris, et al.. (2005). Gene expression profiling of plasma cell dyscrasias reveals molecular patterns associated with distinct IGH translocations in multiple myeloma. Oncogene. 24(15). 2461–2473. 104 indexed citations
10.
Agnelli, Luca, Silvio Bicciato, Michela Mattioli, et al.. (2005). Molecular Classification of Multiple Myeloma: A Distinct Transcriptional Profile Characterizes Patients Expressing CCND1 and Negative for 14q32 Translocations.. Blood. 106(11). 1548–1548. 4 indexed citations
11.
Verdelli, Donata, Michela Mattioli, Sonia Fabris, et al.. (2005). Molecular and biological characterization of three novel interleukin-6-dependent human myeloma cell lines.. PubMed. 90(11). 1541–8. 11 indexed citations
12.
Agnelli, Luca, Silvio Bicciato, Michela Mattioli, et al.. (2005). Molecular Classification of Multiple Myeloma: A Distinct Transcriptional Profile Characterizes Patients Expressing CCND1 and Negative for 14q32 Translocations. Journal of Clinical Oncology. 23(29). 7296–7306. 90 indexed citations
13.
Intini, Daniela, Sonia Fabris, Clelia Tiziana Storlazzi, et al.. (2004). Identification of a novel IGH‐MMSET fusion transcript in a human myeloma cell line with the t(4;14)(p16·3;q32) chromosomal translocation. British Journal of Haematology. 126(3). 437–439. 3 indexed citations
14.
Fabris, Sonia, Luca Agnelli, Michela Mattioli, et al.. (2004). Characterization of oncogene dysregulation in multiple myeloma by combined FISH and DNA microarray analyses. Genes Chromosomes and Cancer. 42(2). 117–127. 39 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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