Matías Soncini

420 total citations
8 papers, 310 citations indexed

About

Matías Soncini is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Matías Soncini has authored 8 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Surgery. Recurrent topics in Matías Soncini's work include Cholesterol and Lipid Metabolism (2 papers), Acute Myeloid Leukemia Research (2 papers) and Epigenetics and DNA Methylation (2 papers). Matías Soncini is often cited by papers focused on Cholesterol and Lipid Metabolism (2 papers), Acute Myeloid Leukemia Research (2 papers) and Epigenetics and DNA Methylation (2 papers). Matías Soncini collaborates with scholars based in Italy, United States and Spain. Matías Soncini's co-authors include William Vermi, Laura Melocchi, Silvano Sozzani, Fabio Facchetti, Pier Giuseppe Pelicci, Saverio Minucci, Daniela Maggioni, Laura Raccosta, Vincenzo Russo and Gianfranca Corna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Frontiers in Immunology and Journal of Leukocyte Biology.

In The Last Decade

Matías Soncini

8 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matías Soncini Italy	8	157	121	63	55	44	8	310
Xiaoxuan Fan United States	9	184 1.2×	142 1.2×	44 0.7×	77 1.4×	26 0.6×	32	337
Isidoro Cobo United States	9	153 1.0×	81 0.7×	29 0.5×	31 0.6×	31 0.7×	16	296
Lijie Rong China	6	134 0.9×	277 2.3×	45 0.7×	148 2.7×	30 0.7×	12	419
Sarah Schouteden Belgium	9	125 0.8×	157 1.3×	48 0.8×	60 1.1×	54 1.2×	14	399
Baranda S. Hansen United States	9	123 0.8×	86 0.7×	36 0.6×	25 0.5×	17 0.4×	20	240
Erin D. Lucas Australia	8	163 1.0×	160 1.3×	73 1.2×	125 2.3×	14 0.3×	9	372
Dexter L. Gulick United States	5	234 1.5×	147 1.2×	35 0.6×	85 1.5×	56 1.3×	7	367
Gloria E. Hernandez United States	8	192 1.2×	181 1.5×	40 0.6×	31 0.6×	30 0.7×	11	396
Andrey Brydun Japan	10	215 1.4×	76 0.6×	62 1.0×	38 0.7×	34 0.8×	15	321
Nathalie Amiable Canada	9	206 1.3×	68 0.6×	65 1.0×	94 1.7×	37 0.8×	14	417

Countries citing papers authored by Matías Soncini

Since Specialization

Citations

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

Fields of papers citing papers by Matías Soncini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matías Soncini

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

All Works

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8 of 8 papers shown

Grasselli, Chiara, Daniela Ferrari, Cristina Zalfa, et al.. (2018). Toll-like receptor 4 modulation influences human neural stem cell proliferation and differentiation. Cell Death and Disease. 9(3). 280–280. 39 indexed citations

Raccosta, Laura, Gianfranca Corna, Daniela Maggioni, et al.. (2018). Enzymatic Inactivation of Oxysterols in Breast Tumor Cells Constraints Metastasis Formation by Reprogramming the Metastatic Lung Microenvironment. Frontiers in Immunology. 9. 2251–2251. 23 indexed citations

Mingozzi, Francesca, Roberto Spreafico, Tatiana Gorletta, et al.. (2016). Prolonged contact with dendritic cells turns lymph node‐resident NK cells into anti‐tumor effectors. EMBO Molecular Medicine. 8(9). 1039–1051. 29 indexed citations

Soncini, Matías, Gianfranca Corna, Nadia Coltella, et al.. (2016). 24-Hydroxycholesterol participates in pancreatic neuroendocrine tumor development. Proceedings of the National Academy of Sciences. 113(41). E6219–E6227. 49 indexed citations

Soncini, Matías, Fabio Santoro, Arantxa Gutiérrez, et al.. (2012). The DNA demethylating agent decitabine activates the TRAIL pathway and induces apoptosis in acute myeloid leukemia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(1). 114–120. 27 indexed citations

Santoro, Fabio, Isabella Pallavicini, Alicja Gruszka, et al.. (2011). The self-association coiled-coil domain of PML is sufficient for the oncogenic conversion of the retinoic acid receptor (RAR) alpha. Leukemia. 25(5). 814–820. 29 indexed citations

Vermi, William, Matías Soncini, Laura Melocchi, Silvano Sozzani, & Fabio Facchetti. (2011). Plasmacytoid dendritic cells and cancer. Journal of Leukocyte Biology. 90(4). 681–690. 66 indexed citations

Fanelli, Mirco, Stefano Amatori, Iros Barozzi, et al.. (2010). Pathology tissue–chromatin immunoprecipitation, coupled with high-throughput sequencing, allows the epigenetic profiling of patient samples. Proceedings of the National Academy of Sciences. 107(50). 21535–21540. 48 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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