Marco Danova

4.4k total citations
226 papers, 3.5k citations indexed

About

Marco Danova is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Marco Danova has authored 226 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Oncology, 56 papers in Hematology and 48 papers in Molecular Biology. Recurrent topics in Marco Danova's work include Neutropenia and Cancer Infections (29 papers), Cancer Treatment and Pharmacology (27 papers) and Cancer Genomics and Diagnostics (21 papers). Marco Danova is often cited by papers focused on Neutropenia and Cancer Infections (29 papers), Cancer Treatment and Pharmacology (27 papers) and Cancer Genomics and Diagnostics (21 papers). Marco Danova collaborates with scholars based in Italy, Canada and United States. Marco Danova's co-authors include Alberto Riccardi, Giuliano Mazzini, Monica Giordano, Silvia Brugnatelli, G. Ucci, B. Rovati, Camillo Porta, S. Mariucci, Martina Torchio and Mario Cazzola and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Marco Danova

219 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Danova Italy 30 1.6k 1.1k 634 576 553 226 3.5k
Marek Z. Wojtukiewicz Poland 34 2.2k 1.3× 1.0k 0.9× 939 1.5× 809 1.4× 996 1.8× 190 4.5k
Benjamin Esterni France 32 2.2k 1.4× 1.4k 1.3× 1.0k 1.6× 683 1.2× 1.0k 1.9× 75 4.4k
Walter E. Aulitzky Germany 34 1.1k 0.7× 1.4k 1.2× 385 0.6× 372 0.6× 1.1k 2.0× 121 3.6k
Catherine Wheeler United States 30 1.7k 1.1× 1.1k 1.0× 473 0.7× 520 0.9× 1.1k 2.0× 73 3.6k
Paul Frankel United States 34 1.9k 1.2× 1.8k 1.6× 658 1.0× 967 1.7× 321 0.6× 214 4.1k
Sun‐Young Kong South Korea 32 1.3k 0.8× 1.4k 1.2× 683 1.1× 498 0.9× 425 0.8× 204 3.7k
Giannoula Klement United States 29 1.7k 1.1× 2.3k 2.1× 1.2k 1.9× 666 1.2× 847 1.5× 67 4.9k
Tetsuji Sawada Japan 41 1.5k 0.9× 1.8k 1.6× 836 1.3× 1.1k 1.9× 283 0.5× 166 5.1k
Barbara Schmalfeldt Germany 33 1.5k 0.9× 1.2k 1.1× 855 1.3× 386 0.7× 327 0.6× 130 4.2k
Nashat Gabrail United States 26 2.3k 1.4× 1.6k 1.4× 1.1k 1.7× 788 1.4× 828 1.5× 154 4.4k

Countries citing papers authored by Marco Danova

Since Specialization
Citations

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

Fields of papers citing papers by Marco Danova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Danova

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Danova. A scholar is included among the top collaborators of Marco Danova 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 Marco Danova. Marco Danova 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.
Bernardo, Antônio, Raffaella Palumbo, Rebecca Pedersini, et al.. (2017). Nab-Paclitaxel in Advanced HER2-negative Breast Cancer Patients: Efficacy and Safety Beyond Clinical Trials. Clinical Breast Cancer. 17(6). 433–440. 6 indexed citations
2.
Comolli, Giuditta, Martina Torchio, Elisa Lenta, et al.. (2015). Neutrophil CD64 expression: a reliable diagnostic marker of infection in advanced cancer patients?. PubMed. 38(3). 427–30. 2 indexed citations
3.
Gristina, Valerio, et al.. (2014). Diabetes and cancer: A critical appraisal of the pathogenetic and therapeutic links. Biomedical Reports. 3(2). 131–136. 32 indexed citations
4.
Cortinovis, Diego, Giordano Beretta, Elena Piazza, et al.. (2013). Chemotherapy-induced anemia and oncologist perception on treatment: results of a web-based survey.. PubMed. 99(1). 45–50. 11 indexed citations
5.
Danova, Marco, Sara Delfanti, Marco Manzoni, & S. Mariucci. (2011). Tissue and Soluble Biomarkers in Breast Cancer and Their Applications: Ready to Use?. JNCI Monographs. 2011(43). 75–78. 11 indexed citations
6.
Balduini, Alessandra, Maria D’Apolito, Diego Arcelli, et al.. (2006). Cord blood in vitro expanded CD41+ cells: identification of novel components of megakaryocytopoiesis. Journal of Thrombosis and Haemostasis. 4(4). 848–860. 18 indexed citations
7.
Porta, Camillo, Roberto Caporali, Oscar Massimiliano Epis, et al.. (2004). Impaired bone marrow hematopoietic progenitor cell function in rheumatoid arthritis patients candidated to autologous hematopoietic stem cell transplantation. Bone Marrow Transplantation. 33(7). 721–728. 21 indexed citations
8.
Danova, Marco & Massimo Aglietta. (1998). Cytokine receptors, growth factors and cell cycle in human bone marrow and peripheral blood hematopoietic progenitors.. PubMed. 82(5). 622–9. 11 indexed citations
9.
Visani, Giuseppe, et al.. (1997). The expression of proliferation and quiescence associated antigens in acute myeloid leukemia correlates with survival duration: analysis of 15 refractory cases.. PubMed. 82(3). 338–40. 2 indexed citations
10.
11.
Benazzo, Marco, et al.. (1995). Proliferative Characteristics of Head and Neck Tumors. ORL. 57(1). 39–43. 8 indexed citations
12.
Ardizzoni, Andrea, M. Venturini, M.R. Sertoli, et al.. (1994). Granulocyte-macrophage colony-stimulating factor (GM-CSF) allows acceleration and dose intensity increase of CEF chemotherapy: a randomised study in patients with advanced breast cancer. British Journal of Cancer. 69(2). 385–391. 58 indexed citations
13.
Danova, Marco, Monica Giordano, Genoveffa Franchini, et al.. (1992). HER-2/neu oncogene expression and DNA ploidy in normal human kidney and renal cell carcinoma.. PubMed. 36(3). 279–88. 2 indexed citations
14.
Danova, Marco, Monica Giordano, Eugenio Erba, et al.. (1992). Flowcytometric analysis of multidrug-resistance-associated antigen (P-Glycoprotein) and DNA ploidy in human colon cancer. Journal of Cancer Research and Clinical Oncology. 118(8). 575–580. 10 indexed citations
15.
Riccardi, Armando, Rosangela Invernizzi, G. Ucci, et al.. (1991). LA P170 NEL MIELOMA MULITIPLO E NELLE LEUCEMIE ACUTE. Haematologica. 76. 177–180. 2 indexed citations
16.
Danova, Marco, Giuliano Mazzini, George D. Wilson, et al.. (1987). Ploidy and proliferative activity of human gastric carcinoma: a cytofluorometric study on fresh and on paraffin embedded material.. CINECA IRIS Institutial Research Information System (University of Genoa). 31(1). 73–82. 8 indexed citations
17.
Riccardi, Alberto, Monica Giordano, Margherita Girino, et al.. (1987). Refractory cytopenias: Clinical course according to bone marrow cytology and cellularity. Annals of Hematology. 54(3). 153–163. 22 indexed citations
18.
Ucci, G., et al.. (1987). Abnormalities of T Cell Subsets in a Patient with Cyclic Neutropenia. Acta Haematologica. 77(3). 177–179. 5 indexed citations
19.
Riccardi, Alberto, Carlomaurizio Montecucco, Marco Danova, et al.. (1986). Flow cytometric evaluation of proliferative activity and ploidy in myelodysplastic syndromes and acute leukemias.. PubMed. 30(2). 181–92. 17 indexed citations
20.
Ucci, G., et al.. (1985). Proliferation kinetics of bone marrow cells in congenital dyserythropoietic anemia type II. Annals of Hematology. 50(4). 219–224. 2 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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