Marco De Simone

4.7k total citations · 2 hit papers
49 papers, 2.3k citations indexed

About

Marco De Simone is a scholar working on Molecular Biology, Control and Systems Engineering and Immunology. According to data from OpenAlex, Marco De Simone has authored 49 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Control and Systems Engineering and 9 papers in Immunology. Recurrent topics in Marco De Simone's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Single-cell and spatial transcriptomics (3 papers). Marco De Simone is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Single-cell and spatial transcriptomics (3 papers). Marco De Simone collaborates with scholars based in Italy, United States and Spain. Marco De Simone's co-authors include Domenico Guida, Massimiliano Pagani, Maurizio C. Capogrossi, Fabio Martelli, Grazisa Rossetti, Yuri D’Alessandra, Paolo Devanna, Giulio Pompilio, Federica Limana and Barbara Micheli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Marco De Simone

46 papers receiving 2.3k citations

Hit Papers

Circulating microRNAs are new and sensitive biomarkers of... 2010 2026 2015 2020 2010 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco De Simone Italy 23 1.2k 704 389 333 154 49 2.3k
Xiaobing Wu China 30 1.3k 1.1× 660 0.9× 180 0.5× 198 0.6× 29 0.2× 143 3.4k
Yingjun Zhao China 33 2.8k 2.3× 2.4k 3.4× 380 1.0× 473 1.4× 218 1.4× 43 4.0k
Shaohua Li China 24 786 0.6× 503 0.7× 89 0.2× 110 0.3× 46 0.3× 52 1.7k
Shihua Wang China 20 1.2k 1.0× 687 1.0× 148 0.4× 75 0.2× 36 0.2× 87 2.2k
Donghui Cao China 25 657 0.5× 199 0.3× 258 0.7× 312 0.9× 329 2.1× 109 2.0k
Junchen Wang China 24 673 0.5× 392 0.6× 61 0.2× 302 0.9× 66 0.4× 144 2.2k
Mengjie Chen China 29 1.9k 1.5× 797 1.1× 144 0.4× 209 0.6× 31 0.2× 152 2.9k
Haoyu Wu China 24 639 0.5× 193 0.3× 130 0.3× 86 0.3× 57 0.4× 102 1.8k
Fabrizio Padula Italy 36 1.3k 1.0× 401 0.6× 440 1.1× 260 0.8× 1.3k 8.2× 119 3.8k
Jingrong Li China 25 755 0.6× 184 0.3× 84 0.2× 315 0.9× 35 0.2× 73 2.0k

Countries citing papers authored by Marco De Simone

Since Specialization
Citations

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

Fields of papers citing papers by Marco De Simone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco De Simone

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

All Works

20 of 20 papers shown
3.
Federico, Sara M., Marco Costanzo, Marco De Simone, & Ciro Natale. (2025). Nonlinear Model Predictive Control for Robotic Pushing of Planar Objects With Generic Shape. IEEE Robotics and Automation Letters. 10(3). 3006–3013. 1 indexed citations
4.
Simone, Marco De, et al.. (2024). Multibody Analysis of Sloshing Effect in a Glass Cylinder Container for Visual Inspection Activities. Applied Sciences. 14(11). 4522–4522. 3 indexed citations
5.
Ko, Emily, Jin-Fen Xiao, Marco De Simone, et al.. (2024). Metabolic targeting of cancer associated fibroblasts overcomes T-cell exclusion and chemoresistance in soft-tissue sarcomas. Nature Communications. 15(1). 2498–2498. 52 indexed citations breakdown →
6.
Simone, Marco De, J. Lau, Hayley M. Bennett, et al.. (2024). A comprehensive analysis framework for evaluating commercial single-cell RNA sequencing technologies. Nucleic Acids Research. 53(2). 5 indexed citations
7.
Costanzo, Marco, Marco De Simone, Sara M. Federico, & Ciro Natale. (2023). Non-Prehensile Manipulation Actions and Visual 6D Pose Estimation for Fruit Grasping Based on Tactile Sensing. Robotics. 12(4). 92–92. 3 indexed citations
8.
Simone, Marco De, Angelo Lorusso, & Domenico Santaniello. (2022). Predictive maintenance and Structural Health Monitoring via IoT system. 1–4. 16 indexed citations
9.
Ko, Emily, Marco De Simone, Xianzhi Lin, et al.. (2022). circCsnk1g3- and circAnkib1-regulated interferon responses in sarcoma promote tumorigenesis by shaping the immune microenvironment. Nature Communications. 13(1). 7243–7243. 12 indexed citations
10.
Desiato, Genni, Clementina Cobolli Gigli, Martina Chiacchiaretta, et al.. (2021). The enhancement of activity rescues the establishment of Mecp2 null neuronal phenotypes. EMBO Molecular Medicine. 13(4). e12433–e12433. 11 indexed citations
11.
Velletri, Tania, Carlo Emanuele Villa, Pietro Lo Riso, et al.. (2021). Single cell-derived spheroids capture the self-renewing subpopulations of metastatic ovarian cancer. Cell Death and Differentiation. 29(3). 614–626. 30 indexed citations
12.
Tobon, Alejandro, Carlo Emanuele Villa, Cristina Cheroni, et al.. (2019). Human Cortical Organoids Expose a Differential Function of GSK3 on Cortical Neurogenesis. Stem Cell Reports. 13(5). 847–861. 36 indexed citations
13.
Asatsuma‐Okumura, Tomoko, Hideki Ando, Marco De Simone, et al.. (2019). p63 is a cereblon substrate involved in thalidomide teratogenicity. Nature Chemical Biology. 15(11). 1077–1084. 93 indexed citations
14.
Paroni, Moira, Marco De Simone, Valeria Ranzani, et al.. (2017). Recognition of viral and self-antigens by TH1 and TH1/TH17 central memory cells in patients with multiple sclerosis reveals distinct roles in immune surveillance and relapses. Journal of Allergy and Clinical Immunology. 140(3). 797–808. 54 indexed citations
15.
Provasi, Elena, Marco De Simone, Valeria Ranzani, et al.. (2017). Repression of miR-31 by BCL6 stabilizes the helper function of human follicular helper T cells. Proceedings of the National Academy of Sciences. 114(48). 12797–12802. 27 indexed citations
16.
Geginat, Jens, Moira Paroni, Stefano Maglie, et al.. (2014). Plasticity of Human CD4 T Cell Subsets. Frontiers in Immunology. 5. 630–630. 214 indexed citations
17.
Sanges, Remo, Yavor Hadzhiev, Agnès Roure, et al.. (2013). Highly conserved elements discovered in vertebrates are present in non-syntenic loci of tunicates, act as enhancers and can be transcribed during development. Nucleic Acids Research. 41(6). 3600–3618. 23 indexed citations
18.
Burba, Ilaria, Gualtiero I. Colombo, Lidia Staszewsky, et al.. (2011). Histone Deacetylase Inhibition Enhances Self Renewal and Cardioprotection by Human Cord Blood-Derived CD34+ Cells. PLoS ONE. 6(7). e22158–e22158. 21 indexed citations
19.
D’Alessandra, Yuri, Paolo Devanna, Federica Limana, et al.. (2010). Circulating microRNAs are new and sensitive biomarkers of myocardial infarction. European Heart Journal. 31(22). 2765–2773. 656 indexed citations breakdown →
20.
Sanseverino, Walter, Guglielmo Roma, Marco De Simone, et al.. (2009). PRGdb: a bioinformatics platform for plant resistance gene analysis. Nucleic Acids Research. 38(suppl_1). D814–D821. 117 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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