Valeria Santini

18.0k total citations · 2 hit papers
272 papers, 7.8k citations indexed

About

Valeria Santini is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Valeria Santini has authored 272 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 228 papers in Hematology, 142 papers in Genetics and 69 papers in Molecular Biology. Recurrent topics in Valeria Santini's work include Acute Myeloid Leukemia Research (202 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (84 papers) and Hemoglobinopathies and Related Disorders (49 papers). Valeria Santini is often cited by papers focused on Acute Myeloid Leukemia Research (202 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (84 papers) and Hemoglobinopathies and Related Disorders (49 papers). Valeria Santini collaborates with scholars based in Italy, United States and France. Valeria Santini's co-authors include Pierre Fenaux, Guillermo Sanz, Alan F. List, John F. Seymour, Eva Hellström‐Lindberg, Steven D. Gore, Ghulam J. Mufti, Lewis R. Silverman, C.L. Beach and Jay T. Backstrom and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Valeria Santini

257 papers receiving 7.6k citations

Hit Papers

Efficacy of azacitidine compared with that of conventiona... 2009 2026 2014 2020 2009 2009 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valeria Santini Italy 38 5.6k 3.4k 2.4k 1.0k 962 272 7.8k
Philippe Rousselot France 46 4.7k 0.8× 1.8k 0.5× 2.7k 1.1× 1.3k 1.2× 1.3k 1.3× 181 6.8k
Paresh Vyas United Kingdom 52 5.1k 0.9× 4.4k 1.3× 1.8k 0.8× 1.3k 1.3× 1.1k 1.1× 235 9.4k
Jeffrey Tyner United States 46 2.9k 0.5× 3.3k 1.0× 2.1k 0.9× 1.3k 1.3× 435 0.5× 238 7.1k
Michael Lübbert Germany 60 7.2k 1.3× 7.4k 2.2× 2.2k 0.9× 2.0k 2.0× 1.6k 1.7× 297 12.7k
Bruno Quesnel France 47 3.6k 0.6× 3.5k 1.0× 1.9k 0.8× 2.6k 2.6× 691 0.7× 202 8.1k
Soheil Meshinchi United States 49 5.8k 1.0× 4.2k 1.2× 1.2k 0.5× 1.4k 1.4× 2.7k 2.8× 328 8.9k
Stanley R. Frankel United States 36 3.0k 0.5× 5.2k 1.5× 960 0.4× 1.7k 1.7× 1.1k 1.1× 73 8.1k
Claus R. Bartram Germany 48 4.1k 0.7× 3.8k 1.1× 2.1k 0.9× 1.7k 1.7× 2.9k 3.0× 212 10.0k
Wei Tong United States 34 1.7k 0.3× 2.7k 0.8× 1.8k 0.8× 948 0.9× 227 0.2× 84 5.6k
Itaru Matsumura Japan 39 2.0k 0.4× 2.5k 0.7× 1.2k 0.5× 1.4k 1.4× 233 0.2× 216 5.5k

Countries citing papers authored by Valeria Santini

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Santini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Santini

This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Santini. A scholar is included among the top collaborators of Valeria Santini 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 Valeria Santini. Valeria Santini 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.
Santini, Valeria, et al.. (2025). How to use luspatercept and erythropoiesis‐stimulating agents in low‐risk myelodysplastic syndrome. British Journal of Haematology. 207(1). 15–26. 1 indexed citations
2.
Geißler, Klaus, Zdeněk Kořı́stek, Teresa Bernal, et al.. (2024). Oral decitabine/cedazuridine versus intravenous decitabine for acute myeloid leukaemia: A randomised, crossover, registration, pharmacokinetics study. British Journal of Haematology. 205(5). 1734–1745. 8 indexed citations
3.
Santini, Valeria, Maximilian Stahl, & David A. Sallman. (2024). TP53 Mutations in Acute Leukemias and Myelodysplastic Syndromes: Insights and Treatment Updates. American Society of Clinical Oncology Educational Book. 44(3). e432650–e432650. 16 indexed citations
4.
Zeidan, Amer M., Uwe Platzbecker, Matteo Giovanni Della Porta, et al.. (2024). Clinical benefit of luspatercept treatment (tx) in transfusion-dependent (TD), erythropoiesis-stimulating agent (ESA)–naive patients (pts) with very low-, low- or intermediate-risk myelodysplastic syndromes (MDS) in the COMMANDS trial.. Journal of Clinical Oncology. 42(16_suppl). 6565–6565. 2 indexed citations
5.
Garcia‐Manero, Guillermo, Karen Yee, Francisca Hernández, et al.. (2024). Preliminary safety and efficacy of oral azacitidine (Oral-AZA) in patients (pts) with low-/Intermediate (Int)-risk myelodysplastic syndromes (MDS): Phase 2 results from the ASTREON trial.. Journal of Clinical Oncology. 42(16_suppl). 6509–6509. 1 indexed citations
6.
Onida, Francesco, Nico Gagelmann, Yves Chalandon, et al.. (2024). Management of adult patients with CMML undergoing allo-HCT: recommendations from the EBMT PH&G Committee. Blood. 143(22). 2227–2244. 8 indexed citations
7.
Olíva, Esther Natalie, Uwe Platzbecker, Matteo Giovanni Della Porta, et al.. (2024). Health-Related Quality of Life of Luspatercept Versus Epoetin Alfa in Red Blood Cell Transfusion-Dependent Lower-Risk Myelodysplastic Syndromes: Results from the Final Datacut of the Phase 3 COMMANDS Study. Blood. 144(Supplement 1). 3216–3216. 2 indexed citations
11.
Shallis, Rory M., Naval Daver, Jessica K. Altman, et al.. (2022). TP53‐altered acute myeloid leukemia and myelodysplastic syndrome with excess blasts should be approached as a single entity. Cancer. 129(2). 175–180. 11 indexed citations
12.
Patnaik, Mrinal M. & Valeria Santini. (2021). Targeting ineffective hematopoiesis in myelodysplastic syndromes. American Journal of Hematology. 97(2). 171–173. 5 indexed citations
13.
Park, Sophie, Jean‐François Hamel, Andréa Toma, et al.. (2020). Outcome of lower-risk myelodysplastic syndrome with ring sideroblasts (MDS-RS) after failure of erythropoiesis- stimulating agents. Leukemia Research. 99. 106472–106472. 2 indexed citations
14.
Santini, Valeria, David Valcárcel, Uwe Platzbecker, et al.. (2019). Phase II Study of the ALK5 Inhibitor Galunisertib in Very Low-, Low-, and Intermediate-Risk Myelodysplastic Syndromes. Clinical Cancer Research. 25(23). 6976–6985. 60 indexed citations
15.
Madanat, Yazan F., Mikkael A. Sekeres, Sudipto Mukherjee, et al.. (2018). Genomic Biomarkers Predict Response/Resistance to Lenalidomide in Non-Del(5q) Myelodysplastic Syndromes. Blood. 132(Supplement 1). 1797–1797. 6 indexed citations
16.
Santini, Valeria. (2014). Identificazione del paziente con diagnosi di sindrome mielodisplastica. Recenti Progressi in Medicina. 105(3). 127–31. 1 indexed citations
18.
Spinelli, Elena, Roberto Caporale, Francesca Buchi, et al.. (2012). Distinct Signal Transduction Abnormalities and Erythropoietin Response in Bone Marrow Hematopoietic Cell Subpopulations of Myelodysplastic Syndrome Patients. Clinical Cancer Research. 18(11). 3079–3089. 25 indexed citations
20.
Fenaux, Pierre, Ghulam J. Mufti, Eva Hellström‐Lindberg, et al.. (2009). Azacitidine Prolongs Overall Survival Compared With Conventional Care Regimens in Elderly Patients With Low Bone Marrow Blast Count Acute Myeloid Leukemia. Journal of Clinical Oncology. 28(4). 562–569. 698 indexed citations breakdown →

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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