Mario-Luca Suvà

3.1k total citations
17 papers, 2.4k citations indexed

About

Mario-Luca Suvà is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Mario-Luca Suvà has authored 17 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in Mario-Luca Suvà's work include Sarcoma Diagnosis and Treatment (8 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (3 papers). Mario-Luca Suvà is often cited by papers focused on Sarcoma Diagnosis and Treatment (8 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (3 papers). Mario-Luca Suvà collaborates with scholars based in Switzerland, Italy and United States. Mario-Luca Suvà's co-authors include Ivan Stamenkovic, Nicolò Riggi, Paolo Provero, Luisa Cironi, Jean‐Christophe Stehle, Karine Baumer, Michalina Janiszewska, Domizio Suvà, Jean‐Marc Joseph and Stéphane Tercier and has published in prestigious journals such as Genes & Development, PLoS ONE and Cancer Cell.

In The Last Decade

Mario-Luca Suvà

17 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario-Luca Suvà Switzerland	13	1.6k	803	662	575	269	17	2.4k
Fumihiro Higashino Japan	25	1.4k 0.9×	536 0.7×	638 1.0×	727 1.3×	156 0.6×	59	2.2k
Karin Weindel Germany	16	1.8k 1.1×	297 0.4×	844 1.3×	597 1.0×	190 0.7×	19	2.6k
Daizo Koinuma Japan	35	2.4k 1.5×	404 0.5×	754 1.1×	1.2k 2.0×	359 1.3×	67	3.3k
Peter Würl Germany	29	1.6k 1.0×	641 0.8×	833 1.3×	949 1.7×	137 0.5×	106	2.7k
Patrizia Gasparini Italy	23	2.3k 1.5×	392 0.5×	576 0.9×	1.4k 2.5×	278 1.0×	71	3.4k
Benjamin S. Braun United States	29	1.8k 1.2×	908 1.1×	257 0.4×	615 1.1×	363 1.3×	50	3.2k
Fumiko Itoh Japan	26	2.2k 1.4×	281 0.3×	279 0.4×	559 1.0×	215 0.8×	56	3.0k
Maria Serena Benassi Italy	29	922 0.6×	1.1k 1.3×	580 0.9×	654 1.1×	134 0.5×	76	2.2k
J. Schütte Germany	27	1.1k 0.7×	914 1.1×	274 0.4×	889 1.5×	107 0.4×	76	2.7k
Nils‐Erik Heldin Sweden	24	2.7k 1.7×	252 0.3×	423 0.6×	1.0k 1.7×	217 0.8×	37	3.5k

Countries citing papers authored by Mario-Luca Suvà

Since Specialization

Citations

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

Fields of papers citing papers by Mario-Luca Suvà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario-Luca Suvà. 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 Mario-Luca Suvà. The network helps show where Mario-Luca Suvà may publish in the future.

Co-authorship network of co-authors of Mario-Luca Suvà

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

All Works

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17 of 17 papers shown

Degrauwe, Nils, Mario-Luca Suvà, Michalina Janiszewska, Nicolò Riggi, & Ivan Stamenkovic. (2016). IMPs: an RNA-binding protein family that provides a link between stem cell maintenance in normal development and cancer. Genes & Development. 30(22). 2459–2474. 228 indexed citations

Janiszewska, Michalina, Mario-Luca Suvà, Nicolò Riggi, & Ivan Stamenkovic. (2012). Abstract 1137: Imp2 controls oxidative phosphorylation in glioblastoma cancer stem cells. Cancer Research. 72(8_Supplement). 1137–1137. 1 indexed citations

Vito, Claudio De, Nicolò Riggi, Mario-Luca Suvà, et al.. (2012). A TARBP2-Dependent miRNA Expression Profile Underlies Cancer Stem Cell Properties and Provides Candidate Therapeutic Reagents in Ewing Sarcoma. Cancer Cell. 21(6). 807–821. 71 indexed citations

Janiszewska, Michalina, Mario-Luca Suvà, Riekelt H. Houtkooper, Virginie Clément‐Schatlo, & Ivan Stamenkovic. (2012). The RNA‐binding protein Imp2 regulates oxidative phosporylation that is key to glioblastoma cancer stem cell maintenance. The FASEB Journal. 26(S1). 1 indexed citations

Vito, Claudio De, Nicolò Riggi, Mario-Luca Suvà, et al.. (2011). Let-7a Is a Direct EWS-FLI-1 Target Implicated in Ewing's Sarcoma Development. PLoS ONE. 6(8). e23592–e23592. 65 indexed citations

Riggi, Nicolò, Mario-Luca Suvà, Claudio De Vito, et al.. (2010). EWS-FLI-1 modulates miRNA145 and SOX2 expression to initiate mesenchymal stem cell reprogramming toward Ewing sarcoma cancer stem cells. Genes & Development. 24(9). 916–932. 218 indexed citations

Suvà, Mario-Luca, Nicolò Riggi, Michalina Janiszewska, et al.. (2009). EZH2 Is Essential for Glioblastoma Cancer Stem Cell Maintenance. Cancer Research. 69(24). 9211–9218. 379 indexed citations

Suvà, Mario-Luca, Nicolò Riggi, Jean‐Christophe Stehle, et al.. (2009). Identification of Cancer Stem Cells in Ewing's Sarcoma. Cancer Research. 69(5). 1776–1781. 243 indexed citations

Dostert, Catherine, Greta Guarda, Jackeline F. Romero, et al.. (2009). Malarial Hemozoin Is a Nalp3 Inflammasome Activating Danger Signal. PLoS ONE. 4(8). e6510–e6510. 305 indexed citations

10.

Cironi, Luisa, Paolo Provero, Michalina Janiszewska, et al.. (2009). Epigenetic Features of Human Mesenchymal Stem Cells Determine Their Permissiveness for Induction of Relevant Transcriptional Changes by SYT-SSX1. PLoS ONE. 4(11). e7904–e7904. 34 indexed citations

11.

Riggi, Nicolò, Mario-Luca Suvà, Domizio Suvà, et al.. (2008). EWS-FLI-1 Expression Triggers a Ewing's Sarcoma Initiation Program in Primary Human Mesenchymal Stem Cells. Cancer Research. 68(7). 2176–2185. 259 indexed citations

12.

Cironi, Luisa, Nicolò Riggi, Paolo Provero, et al.. (2008). IGF1 Is a Common Target Gene of Ewing's Sarcoma Fusion Proteins in Mesenchymal Progenitor Cells. PLoS ONE. 3(7). e2634–e2634. 92 indexed citations

13.

Riggi, Nicolò, Luisa Cironi, Paolo Provero, et al.. (2006). Expression of the FUS-CHOP Fusion Protein in Primary Mesenchymal Progenitor Cells Gives Rise to a Model of Myxoid Liposarcoma. Cancer Research. 66(14). 7016–7023. 115 indexed citations

14.

Riggi, Nicolò, Mario-Luca Suvà, & Ivan Stamenkovic. (2006). Ewing's Sarcoma–Like Tumors Originate from EWS-FLI-1-Expressing Mesenchymal Progenitor Cells. Cancer Research. 66(19). 9786–9786. 2 indexed citations

15.

Riggi, Nicolò, Luisa Cironi, Paolo Provero, et al.. (2005). Development of Ewing's Sarcoma from Primary Bone Marrow–Derived Mesenchymal Progenitor Cells. Cancer Research. 65(24). 11459–11468. 279 indexed citations

16.

Gunten, Armin von, et al.. (2005). Environmental reduplicative paramnesia in a case of atypical Alzheimer’s disease. Neurocase. 11(3). 216–226. 9 indexed citations

17.

Lahav, Ronit, Mario-Luca Suvà, Donata Rimoldi, Paul H. Patterson, & Ivan Stamenkovic. (2004). Endothelin Receptor B Inhibition Triggers Apoptosis and Enhances Angiogenesis in Melanomas. Cancer Research. 64(24). 8945–8953. 63 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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