Donata Verdelli

679 citations
14 papers · 532 · h-index 10

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways
    • Glycosylation and Glycoproteins Research
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • Multiple Myeloma Research and Treatments 14
    • Protein Degradation and Inhibitors 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Glycosylation and Glycoproteins Research 2

Donata Verdelli

14 papers receiving 531 citations

Peers

Donata Verdelli
Comparison fields: 5 of 49
  • Hematology 346
  • Molecular Biology 398
  • Genetics 61
  • Oncology 145
  • Cancer Research 67
Replace Greg Ahmann with:
Greg Ahmann United States
Madhumita Santra United States
Naozo Nakazawa Japan
J Ackermann Austria
Patricia Balsas Spain
Emmanuelle Ménoret France
Young Trieu Canada
Guilhem Couderc France
Jessica Haug United States
YT Tai United States
Donata Verdelli relative to Greg Ahmann United States Greg Ahmann's profile →
Citations per field
00.5×1.7×
Greg Ahmann · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Donata Verdelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donata Verdelli Line = papers co-authored together Donata Verdelli links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2009107
2 2005104
3 200590
4 200753
5 200650
6 200439
7 200833
8 200817
9 200715
10
Molecular and biological characterization of three novel interleukin-6-dependent human myeloma cell lines.
200511
11 20135
12 20054
13 20043
14 20061

About Donata Verdelli

Donata Verdelli is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 532 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Peptidase Inhibition and Analysis (4 papers), Protein Degradation and Inhibitors (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Hematology (346 citations), Molecular Biology (398 citations), Genetics (61 citations), Oncology (145 citations) and Cancer Research (67 citations). Donata Verdelli has collaborated with scholars based in Italy, Switzerland and Japan. Frequent co-authors include Antonino Neri, Sonia Fabris, Luca Agnelli, Luigia Lombardi, Silvio Bicciato, Luca Baldini, Michela Mattioli, Fortunato Morabito, Daniela Intini and Vincenzo Callea. Their work appears in journals such as Genes Chromosomes and Cancer, British Journal of Haematology, Blood, Journal of Clinical Oncology and Oncogene.

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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