Martina Midolo

450 total citations
9 papers, 367 citations indexed

About

Martina Midolo is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Martina Midolo has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Surgery. Recurrent topics in Martina Midolo's work include Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (2 papers) and Mesenchymal stem cell research (2 papers). Martina Midolo is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (2 papers) and Mesenchymal stem cell research (2 papers). Martina Midolo collaborates with scholars based in Italy, France and Cameroon. Martina Midolo's co-authors include Mauro Krampera, Paul Takam Kamga, Giulio Bassi, Roberta Carusone, Mariano Di Trapani, Adriana Cassaro, Alessandro Gatti, Annalisa Adamo, Massimiliano Bonifacio and Michele Gottardi and has published in prestigious journals such as Blood, Cancer Research and Scientific Reports.

In The Last Decade

Martina Midolo

9 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martina Midolo Italy	5	242	138	134	84	59	9	367
Haijiao Zhang China	10	231 1.0×	72 0.5×	67 0.5×	150 1.8×	34 0.6×	25	419
Saeid Abroun Iran	11	164 0.7×	136 1.0×	46 0.3×	111 1.3×	51 0.9×	34	321
Wael Al Essa Italy	5	367 1.5×	122 0.9×	185 1.4×	23 0.3×	56 0.9×	11	464
Chiemi Nishida Japan	9	126 0.5×	38 0.3×	108 0.8×	78 0.9×	66 1.1×	13	328
Gregory W. Roloff United States	13	168 0.7×	132 1.0×	83 0.6×	229 2.7×	78 1.3×	28	453
Zhongxing Jiang China	13	164 0.7×	56 0.4×	87 0.6×	81 1.0×	113 1.9×	28	364
Sumie Fujii Japan	8	161 0.7×	121 0.9×	92 0.7×	58 0.7×	86 1.5×	18	313
Patricia van den Hoogen Netherlands	8	477 2.0×	178 1.3×	90 0.7×	329 3.9×	56 0.9×	11	734
Adriana da Silva Santos Duarte Brazil	12	167 0.7×	61 0.4×	41 0.3×	78 0.9×	41 0.7×	27	306
Francis Hermitte France	9	89 0.4×	139 1.0×	80 0.6×	215 2.6×	65 1.1×	15	348

Countries citing papers authored by Martina Midolo

Since Specialization

Citations

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

Fields of papers citing papers by Martina Midolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Midolo

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

All Works

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9 of 9 papers shown

Dima, Francesco, et al.. (2020). Assessment of haematopoietic progenitor cell counting with the Sysmex^® XN-1000 to guide timing of apheresis of peripheral blood stem cells.. Vox Sanguinis. 18(1). 67–76. 9 indexed citations

Kamga, Paul Takam, Martina Midolo, Annalisa Adamo, et al.. (2018). Inhibition of Notch Signaling Enhances Chemosensitivity in B-cell Precursor Acute Lymphoblastic Leukemia. Cancer Research. 79(3). 639–649. 31 indexed citations

Kamga, Paul Takam, Giulio Bassi, Martina Midolo, et al.. (2018). Characterization of a new B-ALL cell line with constitutional defect of the Notch signaling pathway. Oncotarget. 9(26). 18341–18350. 7 indexed citations

Trapani, Mariano Di, Giulio Bassi, Martina Midolo, et al.. (2016). Differential and transferable modulatory effects of mesenchymal stromal cell-derived extracellular vesicles on T, B and NK cell functions. Scientific Reports. 6(1). 24120–24120. 231 indexed citations

Kamga, Paul Takam, Giulio Bassi, Adriana Cassaro, et al.. (2016). Notch signalling drives bone marrow stromal cell-mediated chemoresistance in acute myeloid leukemia. Oncotarget. 7(16). 21713–21727. 82 indexed citations

Kamga, Paul Takam, Adriana Cassaro, Annalisa Adamo, et al.. (2016). Inhibition of GSK-3 Signalling Enhances Sensitivity of Non-Promyelocitic Acute Myeloid Leukemia (AML) Cell to Chemotherapy. Blood. 128(22). 1582–1582. 1 indexed citations

Kamga, Paul Takam, Adriana Cassaro, Annalisa Adamo, et al.. (2016). Role of Wnt/β-Catenin Signalling in Acute Myeloid Leukemia (AML) Cell Response to Chemotherapy. Blood. 128(22). 2753–2753. 2 indexed citations

Kamga, Paul Takam, Giulio Bassi, Adriana Cassaro, et al.. (2014). Role of Stromal Cell-Mediated Notch Signaling in AML Resistance to Chemotherapy. Blood. 124(21). 1044–1044. 1 indexed citations

Ricciardi, Mario, Martina Midolo, Giulio Bassi, et al.. (2013). Comparison Between Bone Marrow Mesenchymal Stromal Cells (BM-MSC) and Lung Mesenchymal Stromal Cells (Lung-MSC) For Epithelial Regeneration. Blood. 122(21). 5414–5414. 3 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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