Marika Sciandra

758 total citations
16 papers, 570 citations indexed

About

Marika Sciandra is a scholar working on Molecular Biology, Immunology and Allergy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marika Sciandra has authored 16 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Immunology and Allergy and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marika Sciandra's work include Cell Adhesion Molecules Research (7 papers), Signaling Pathways in Disease (5 papers) and Sarcoma Diagnosis and Treatment (4 papers). Marika Sciandra is often cited by papers focused on Cell Adhesion Molecules Research (7 papers), Signaling Pathways in Disease (5 papers) and Sarcoma Diagnosis and Treatment (4 papers). Marika Sciandra collaborates with scholars based in Italy, United States and France. Marika Sciandra's co-authors include Katia Scotlandi, Piero Picci, Maria Cristina Manara, Mario P. Colombo, Pier‐Luigi Lollini, Giordano Nicoletti, Diana Zambelli, Monia Zuntini, Anna Rocchi and Annalisa Astolfi and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer Research.

In The Last Decade

Marika Sciandra

16 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marika Sciandra Italy 12 310 166 151 130 90 16 570
Osarenoma Olomu United States 6 257 0.8× 183 1.1× 152 1.0× 74 0.6× 39 0.4× 17 663
Kristin Andersen Norway 13 246 0.8× 137 0.8× 98 0.6× 136 1.0× 67 0.7× 55 499
Lian‐He Yang China 16 383 1.2× 148 0.9× 147 1.0× 107 0.8× 37 0.4× 41 673
Mary Ann Perle United States 15 298 1.0× 178 1.1× 163 1.1× 120 0.9× 32 0.4× 42 713
Monika Ehnman Sweden 12 245 0.8× 176 1.1× 198 1.3× 119 0.9× 129 1.4× 16 525
Neel I. Nissen Denmark 11 202 0.7× 93 0.6× 280 1.9× 132 1.0× 89 1.0× 18 600
R Sánchez United States 6 364 1.2× 99 0.6× 260 1.7× 180 1.4× 100 1.1× 7 671
Mark D. Hjelmeland United States 7 543 1.8× 80 0.5× 246 1.6× 144 1.1× 99 1.1× 8 782
Christopher R. McKenna United States 7 462 1.5× 75 0.5× 424 2.8× 146 1.1× 59 0.7× 9 735
Cristina Panaroni United States 14 377 1.2× 106 0.6× 231 1.5× 102 0.8× 178 2.0× 31 908

Countries citing papers authored by Marika Sciandra

Since Specialization
Citations

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

Fields of papers citing papers by Marika Sciandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marika Sciandra

This figure shows the co-authorship network connecting the top 25 collaborators of Marika Sciandra. A scholar is included among the top collaborators of Marika Sciandra 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 Marika Sciandra. Marika Sciandra 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.
Feo, Alessandra De, Marcello Manfredi, Caterina Mancarella, et al.. (2024). CD99 Modulates the Proteomic Landscape of Ewing Sarcoma Cells and Related Extracellular Vesicles. International Journal of Molecular Sciences. 25(3). 1588–1588. 3 indexed citations
2.
Sciandra, Marika, Alessandra De Feo, Alessandro Parra, et al.. (2020). Circulating miR34a levels as a potential biomarker in the follow-up of Ewing sarcoma. Journal of Cell Communication and Signaling. 14(3). 335–347. 8 indexed citations
3.
Feo, Alessandra De, Marika Sciandra, Manuela Ferracin, et al.. (2019). Exosomes from CD99-deprived Ewing sarcoma cells reverse tumor malignancy by inhibiting cell migration and promoting neural differentiation. Cell Death and Disease. 10(7). 471–471. 29 indexed citations
4.
Çelik, Haydar, Marika Sciandra, Jenny Han, et al.. (2018). Clofarabine inhibits Ewing sarcoma growth through a novel molecular mechanism involving direct binding to CD99. Oncogene. 37(16). 2181–2196. 25 indexed citations
5.
Çelik, Haydar, Marika Sciandra, Jenny Han, et al.. (2017). Abstract 1933: Discovery of first-in-class small molecule CD99 inhibitors for targeted therapy of Ewing sarcoma. Cancer Research. 77(13_Supplement). 1933–1933. 1 indexed citations
6.
Manara, Maria Cristina, Caterina Mancarella, Marika Sciandra, et al.. (2016). CD99 triggering induces methuosis of Ewing sarcoma cells through IGF-1R/RAS/Rac1 signaling. Oncotarget. 7(48). 79925–79942. 44 indexed citations
7.
Oranger, Angela, Giacomina Brunetti, Claudia Carbone, et al.. (2015). Human Myeloma Cell Lines Induce Osteoblast Downregulation of CD99 Which Is Involved in Osteoblast Formation and Activity. Journal of Immunology Research. 2015. 1–13. 6 indexed citations
8.
Grilli, Andrea, et al.. (2015). Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model. BMC Medical Genomics. 8(1). 34–34. 15 indexed citations
9.
Guerzoni, Clara, Maria Cristina Manara, Michela Pasello, et al.. (2014). CD99 Triggering in Ewing Sarcoma Delivers a Lethal Signal through p53 Pathway Reactivation and Cooperates with Doxorubicin. Clinical Cancer Research. 21(1). 146–156. 40 indexed citations
10.
Sciandra, Marika, Maria Teresa Marino, Maria Cristina Manara, et al.. (2013). CD99 Drives Terminal Differentiation of Osteosarcoma Cells by Acting as a Spatial Regulator of ERK 1/2. Journal of Bone and Mineral Research. 29(5). 1295–1309. 36 indexed citations
11.
Zucchini, Cinzia, Maria Cristina Manara, Paola De Sanctis, et al.. (2013). CD99 suppresses osteosarcoma cell migration through inhibition of ROCK2 activity. Oncogene. 33(15). 1912–1921. 39 indexed citations
12.
Tripodo, Claudio, Sabina Sangaletti, Carla Guarnotta, et al.. (2012). Stromal SPARC contributes to the detrimental fibrotic changes associated with myeloproliferation whereas its deficiency favors myeloid cell expansion. Blood. 120(17). 3541–3554. 34 indexed citations
13.
Rocchi, Anna, Maria Cristina Manara, Marika Sciandra, et al.. (2010). CD99 inhibits neural differentiation of human Ewing sarcoma cells and thereby contributes to oncogenesis. Journal of Clinical Investigation. 120(3). 668–680. 129 indexed citations
14.
Perbal, Bernard, Monia Zuntini, Diana Zambelli, et al.. (2008). Prognostic Value of CCN3 in Osteosarcoma. Clinical Cancer Research. 14(3). 701–709. 49 indexed citations
15.
Scotlandi, Katia, Monia Zuntini, Maria Cristina Manara, et al.. (2007). CD99 isoforms dictate opposite functions in tumour malignancy and metastases by activating or repressing c-Src kinase activity. Oncogene. 26(46). 6604–6618. 53 indexed citations
16.
Manara, Maria Cristina, Ghislaine Bernard, Pier‐Luigi Lollini, et al.. (2006). CD99 Acts as an Oncosuppressor in Osteosarcoma. Molecular Biology of the Cell. 17(4). 1910–1921. 59 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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