Valentina Gaidano

765 total citations
16 papers, 390 citations indexed

About

Valentina Gaidano is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Valentina Gaidano has authored 16 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Valentina Gaidano's work include Chronic Myeloid Leukemia Treatments (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Acute Myeloid Leukemia Research (5 papers). Valentina Gaidano is often cited by papers focused on Chronic Myeloid Leukemia Treatments (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Acute Myeloid Leukemia Research (5 papers). Valentina Gaidano collaborates with scholars based in Italy, United States and France. Valentina Gaidano's co-authors include Giuseppe Saglio, Alessandro Cignetti, Paola Circosta, Mohammad Houshmand, Giorgia Simonetti, Giovanni Martinelli, Robert Peter Gale, Daniela Cilloni, Pierluigi Tos and A Scevola and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Leukemia.

In The Last Decade

Valentina Gaidano

16 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentina Gaidano Italy 9 189 174 110 53 49 16 390
Lieke C. J. van den Berk Netherlands 11 107 0.6× 159 0.9× 159 1.4× 27 0.5× 69 1.4× 13 438
Stephanie Wallner Austria 7 144 0.8× 108 0.6× 157 1.4× 18 0.3× 124 2.5× 7 424
Pavel Šimara Czechia 12 45 0.2× 209 1.2× 43 0.4× 7 0.1× 54 1.1× 19 318
Yoshikazu Matsuoka Japan 11 156 0.8× 151 0.9× 123 1.1× 5 0.1× 70 1.4× 28 372
JG Bender United States 7 344 1.8× 97 0.6× 117 1.1× 8 0.2× 140 2.9× 9 480
Stefania Militi Italy 8 178 0.9× 171 1.0× 58 0.5× 13 0.2× 139 2.8× 12 427
Simone S. Riedel United States 14 132 0.7× 262 1.5× 35 0.3× 6 0.1× 81 1.7× 30 481
Sandra Winkler Germany 5 63 0.3× 305 1.8× 133 1.2× 7 0.1× 123 2.5× 10 458
MC Yoder United States 6 183 1.0× 137 0.8× 76 0.7× 9 0.2× 64 1.3× 9 344
Tomomi Hirosaki Japan 10 81 0.4× 144 0.8× 23 0.2× 7 0.1× 53 1.1× 11 455

Countries citing papers authored by Valentina Gaidano

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Gaidano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Gaidano

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

All Works

16 of 16 papers shown
1.
Borgogna, Cinzia, Riccardo Bruna, Gloria Griffante, et al.. (2022). Patterns of neutralizing humoral response to SARS-CoV-2 infection among hematologic malignancy patients reveal a robust immune response in anti-cancer therapy-naive patients. Blood Cancer Journal. 12(1). 8–8. 5 indexed citations
2.
Houshmand, Mohammad, Valentina Gaidano, Alessandro Cignetti, et al.. (2021). Shedding Light on Targeting Chronic Myeloid Leukemia Stem Cells. Journal of Clinical Medicine. 10(24). 5805–5805. 10 indexed citations
3.
Depaoli, Lorella, Valentina Gaidano, Ferruccio Ravazzoni, et al.. (2021). Spontaneous splenic rupture during induction therapy in acute myeloid leukemia: An unusual case.. SHILAP Revista de lepidopterología. 16(11). 3406–3409. 1 indexed citations
4.
Gaidano, Valentina, Mohammad Houshmand, Nicoletta Vitale, et al.. (2021). The Synergism between DHODH Inhibitors and Dipyridamole Leads to Metabolic Lethality in Acute Myeloid Leukemia. Cancers. 13(5). 1003–1003. 20 indexed citations
5.
Gaidano, Valentina, Alessandro Cignetti, Giuseppina Prato, et al.. (2020). A Clinically Applicable Approach to the Classification of B-Cell Non-Hodgkin Lymphomas with Flow Cytometry and Machine Learning. Cancers. 12(6). 1684–1684. 25 indexed citations
6.
Carrà, Giovanna, Paola Circosta, Mara Brancaccio, et al.. (2019). Inhibition of bromodomain and extra‐terminal proteins increases sensitivity to venetoclax in chronic lymphocytic leukaemia. Journal of Cellular and Molecular Medicine. 24(2). 1650–1657. 16 indexed citations
7.
Houshmand, Mohammad, Giorgia Simonetti, Paola Circosta, et al.. (2019). Chronic myeloid leukemia stem cells. Leukemia. 33(7). 1543–1556. 131 indexed citations
8.
Petiti, Jessica, Valentina Rosso, Marco Lo Iacono, et al.. (2018). Prognostic significance of The Wilms’ Tumor-1 (WT1) rs16754 polymorphism in acute myeloid leukemia. Leukemia Research. 67. 6–11. 13 indexed citations
9.
Sainas, Stefano, Agnese Chiara Pippione, Donatella Boschi, et al.. (2018). DHODH inhibitors and leukemia: an emergent interest for new myeloid differentiation agents. Drugs of the Future. 43(11). 823–823. 6 indexed citations
10.
Gallo, Daniela, Valentina Gaidano, Jessica Petiti, et al.. (2016). The Wilms’ tumor (WT1) gene expression correlates with the International Prognostic Scoring System (IPSS) score in patients with myelofibrosis and it is a marker of response to therapy. Cancer Medicine. 5(7). 1650–1653. 6 indexed citations
11.
Rosso, Valentina, Enrico Bracco, Sonia Carturan, et al.. (2015). Detection of BCR-ABL T315I mutation by peptide nucleic acid directed PCR clamping and by peptide nucleic acid FISH. Biomarker Research. 3(1). 15–15. 8 indexed citations
12.
Cilloni, Daniela, Sonia Carturan, Enrico Bracco, et al.. (2013). Aberrant activation of ROS1 represents a new molecular defect in chronic myelomonocytic leukemia. Leukemia Research. 37(5). 520–530. 13 indexed citations
13.
Bracco, Enrico, Valentina Rosso, Anna Serra, et al.. (2013). Design and application of a novel PNA probe for the detection at single cell level of JAK2V617Fmutation in Myeloproliferative Neoplasms. BMC Cancer. 13(1). 348–348. 4 indexed citations
14.
Valencia, Ana, Erico Masala, Alessandro Di Martino, et al.. (2013). Expression of nucleoside-metabolizing enzymes in myelodysplastic syndromes and modulation of response to azacitidine. Leukemia. 28(3). 621–628. 70 indexed citations
15.
Arruga, Francesca, Francesca Messa, Monica Pradotto, et al.. (2010). Abstract 251: Disabled gene is involved in CML progression and its expression level at diagnosis can predict major molecular response (MMR) to imatinib therapy. Cancer Research. 70(8_Supplement). 251–251. 1 indexed citations
16.
Battiston, Bruno, Stefania Raimondo, Pierluigi Tos, et al.. (2009). Chapter 11 Tissue Engineering of Peripheral Nerves. International review of neurobiology. 87. 227–249. 61 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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