Marco Sborgia

1.3k total citations
8 papers, 125 citations indexed

About

Marco Sborgia is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marco Sborgia has authored 8 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marco Sborgia's work include Acute Myeloid Leukemia Research (5 papers), Retinoids in leukemia and cellular processes (5 papers) and Acute Lymphoblastic Leukemia research (3 papers). Marco Sborgia is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Retinoids in leukemia and cellular processes (5 papers) and Acute Lymphoblastic Leukemia research (3 papers). Marco Sborgia collaborates with scholars based in Italy. Marco Sborgia's co-authors include Marco Vignetti, Massimo Breccia, Paola Fazi, Prassede Salutari, Roberto Latagliata, Franco Mandelli, Francesco Di Raimondo, Giovanni Martinelli, Francesco Fabbiano and Sergio Amadori and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and British Journal of Haematology.

In The Last Decade

Marco Sborgia

8 papers receiving 123 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 Sborgia Italy 6 46 46 35 35 29 8 125
Keith Sibson United Kingdom 7 48 1.0× 46 1.0× 31 0.9× 32 0.9× 29 1.0× 12 152
Т. Т. Валиев Russia 6 19 0.4× 33 0.7× 24 0.7× 60 1.7× 59 2.0× 119 155
Gary Douglas Myers United States 6 29 0.6× 27 0.6× 21 0.6× 85 2.4× 22 0.8× 14 141
Michela Tassara Italy 5 23 0.5× 28 0.6× 28 0.8× 26 0.7× 17 0.6× 11 114
Kyle Beckman United States 4 45 1.0× 66 1.4× 8 0.2× 23 0.7× 51 1.8× 4 107
Francesco Corrente Italy 5 18 0.4× 15 0.3× 42 1.2× 28 0.8× 14 0.5× 12 130
Raimundo García‐Boyero Spain 6 20 0.4× 36 0.8× 26 0.7× 51 1.5× 16 0.6× 7 101
Alice Mason United Kingdom 6 32 0.7× 9 0.2× 7 0.2× 23 0.7× 10 0.3× 14 145
Katsuhiro Shono Japan 7 28 0.6× 71 1.5× 18 0.5× 26 0.7× 35 1.2× 20 134
Franca Cantoresi Italy 8 33 0.7× 25 0.5× 27 0.8× 11 0.3× 4 0.1× 15 197

Countries citing papers authored by Marco Sborgia

Since Specialization
Citations

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

Fields of papers citing papers by Marco Sborgia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Sborgia

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

All Works

8 of 8 papers shown
1.
Sommer, Kathrin, Marco Vignetti, Francesco Cottone, et al.. (2020). Acute promyelocytic leukaemia long-term survivors: higher fatigue and greater overall symptom burden. BMJ Supportive & Palliative Care. 12(2). 182–186. 2 indexed citations
2.
Efficace, Fabio, Massimo Breccia, Giuseppe Avvisati, et al.. (2018). Health-related quality of life, symptom burden, and comorbidity in long-term survivors of acute promyelocytic leukemia. Leukemia. 33(7). 1598–1607. 20 indexed citations
3.
Latagliata, Roberto, Massimo Breccia, Paola Fazi, et al.. (2011). GIMEMA AIDA 0493 amended protocol for elderly patients with acute promyelocytic leukaemia. Long‐term results and prognostic factors. British Journal of Haematology. 154(5). 564–568. 14 indexed citations
4.
Savini, Vincenzo, Prassede Salutari, & Marco Sborgia. (2011). Brief tale of a bacteraemia by Rhodococcus equi with concomitant lung mass: what came first, the chicken or the egg?. SHILAP Revista de lepidopterología. 3(1). e2011006–e2011006. 10 indexed citations
5.
Latagliata, Roberto, Massimo Breccia, Paola Fazi, et al.. (2008). Liposomal daunorubicin versus standard daunorubicin: long term follow‐up of the GIMEMA GSI 103 AMLE randomized trial in patients older than 60 years with acute myelogenous leukaemia. British Journal of Haematology. 143(5). 681–689. 38 indexed citations
6.
Starza, Roberta La, Barbara Crescenzi, Alexandre Krause, et al.. (2006). Dual-color split signal fluorescence in situ hybridization assays for the detection of CALM/AF10 in t(10;11)(p13;q14-q21)-positive acute leukemia.. PubMed. 91(9). 1248–51. 7 indexed citations
7.
Latagliata, Roberto, Massimo Breccia, Paola Fazi, et al.. (2005). Long-Term Results of the GIMEMA LAP AIDA 0493 Amended Protocol in Elderly Patients with Acute Promyelocytic Leukemia (APL).. Blood. 106(11). 885–885. 1 indexed citations
8.
Vitolo, Umberto, Anna Marina Liberati, Maria Giuseppina Cabras, et al.. (2005). High dose sequential chemotherapy with autologous transplantation versus dose-dense chemotherapy MegaCEOP as first line treatment in poor-prognosis diffuse large cell lymphoma: an "Intergruppo Italiano Linfomi" randomized trial.. PubMed. 90(6). 793–801. 33 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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