Filippo Rossignoli

816 total citations
18 papers, 582 citations indexed

About

Filippo Rossignoli is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Filippo Rossignoli has authored 18 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Filippo Rossignoli's work include Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers) and Immunotherapy and Immune Responses (5 papers). Filippo Rossignoli is often cited by papers focused on Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers) and Immunotherapy and Immune Responses (5 papers). Filippo Rossignoli collaborates with scholars based in United States, Italy and Germany. Filippo Rossignoli's co-authors include Massimo Dominici, Giulia Grisendi, Carlotta Spano, Edwin M. Horwitz, Giulia Golinelli, Khalid Shah, Paolo Paolucci, Elena Veronesi, Olivia Candini and Kok‐Siong Chen and has published in prestigious journals such as Journal of Clinical Investigation, Nature Nanotechnology and Science Translational Medicine.

In The Last Decade

Filippo Rossignoli

18 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filippo Rossignoli United States 11 232 221 187 145 96 18 582
Mahshid Saleh Iran 11 295 1.3× 207 0.9× 187 1.0× 69 0.5× 109 1.1× 22 676
Alexey Bersenev United States 14 238 1.0× 450 2.0× 230 1.2× 153 1.1× 69 0.7× 24 838
Quande Lin China 10 111 0.5× 273 1.2× 327 1.7× 101 0.7× 62 0.6× 35 601
Joji Ishida Japan 14 196 0.8× 229 1.0× 81 0.4× 69 0.5× 45 0.5× 49 551
Quanhai Li China 16 105 0.5× 281 1.3× 182 1.0× 171 1.2× 65 0.7× 33 662
Mark Pykett United States 12 121 0.5× 155 0.7× 125 0.7× 107 0.7× 72 0.8× 21 517
Daniela Lisini Italy 16 191 0.8× 159 0.7× 191 1.0× 271 1.9× 60 0.6× 35 638
Ilenia Mastrolia Italy 9 233 1.0× 219 1.0× 93 0.5× 45 0.3× 132 1.4× 17 507
Valeria Fernández Vallone Argentina 15 133 0.6× 273 1.2× 297 1.6× 69 0.5× 104 1.1× 27 632
Yanzheng Gu China 16 179 0.8× 297 1.3× 205 1.1× 250 1.7× 149 1.6× 41 808

Countries citing papers authored by Filippo Rossignoli

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Rossignoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Rossignoli

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

All Works

18 of 18 papers shown
1.
LIU, Chuang, Xiangang Huang, Kok‐Siong Chen, et al.. (2025). Systemic reprogramming of tumour immunity via IL-10-mRNA nanoparticles. Nature Nanotechnology. 20(10). 1526–1538. 7 indexed citations
2.
Chen, Kok‐Siong, Nobuhiko Kanaya, Yi-Ching Chen, et al.. (2024). An inducible RIPK3-driven necroptotic system enhances cancer cell–based immunotherapy and ensures safety. Journal of Clinical Investigation. 135(2). 5 indexed citations
3.
Rossignoli, Filippo, et al.. (2024). Allogeneic stem cells engineered to release interferon β and scFv-PD1 target glioblastoma and alter the tumor microenvironment. Cytotherapy. 26(10). 1217–1226. 1 indexed citations
4.
Chen, Kok‐Siong, et al.. (2024). Establishment and immune phenotyping of patient-derived glioblastoma models in humanized mice. Frontiers in Immunology. 14. 1324618–1324618. 9 indexed citations
5.
Chen, Kok‐Siong, Clemens Reinshagen, Filippo Rossignoli, et al.. (2023). Bifunctional cancer cell–based vaccine concomitantly drives direct tumor killing and antitumor immunity. Science Translational Medicine. 15(677). eabo4778–eabo4778. 54 indexed citations
6.
Rossignoli, Filippo, et al.. (2023). Developing and characterizing a two-layered safety switch for cell therapies. Cancer Biology & Therapy. 24(1). 2232146–2232146. 5 indexed citations
7.
Rossignoli, Filippo, et al.. (2022). NK cells in the brain: implications for brain tumor development and therapy. Trends in Molecular Medicine. 28(3). 194–209. 24 indexed citations
8.
Golinelli, Giulia, Giulia Grisendi, Massimiliano Dall’Ora, et al.. (2021). Anti-GD2 CAR MSCs against metastatic Ewing's sarcoma. Translational Oncology. 15(1). 101240–101240. 17 indexed citations
9.
Song, Na, Hiroaki Wakimoto, Filippo Rossignoli, et al.. (2021). Mesenchymal stem cell immunomodulation: In pursuit of controlling COVID-19 related cytokine storm. Stem Cells. 39(6). 707–722. 41 indexed citations
10.
Rossignoli, Filippo, Carlotta Spano, Giulia Grisendi, et al.. (2019). MSC-Delivered Soluble TRAIL and Paclitaxel as Novel Combinatory Treatment for Pancreatic Adenocarcinoma. Theranostics. 9(2). 436–448. 43 indexed citations
11.
Golinelli, Giulia, Giulia Grisendi, Malvina Prapa, et al.. (2018). Targeting GD2-positive glioblastoma by chimeric antigen receptor empowered mesenchymal progenitors. Cancer Gene Therapy. 27(7-8). 558–570. 83 indexed citations
12.
Rossignoli, Filippo, Giulia Grisendi, Carlotta Spano, et al.. (2018). Inducible Caspase9-mediated suicide gene for MSC-based cancer gene therapy. Cancer Gene Therapy. 26(1-2). 11–16. 49 indexed citations
13.
Bortolotti, Daria, Filippo Rossignoli, Antonella Rotola, et al.. (2018). Human Herpes simplex 1 virus infection of endometrial decidual tissue-derived MSC alters HLA-G expression and immunosuppressive functions. Human Immunology. 79(11). 800–808. 9 indexed citations
14.
Grisendi, Giulia, Carlotta Spano, Filippo Rossignoli, et al.. (2016). Tumor Stroma Manipulation By MSC. Current Drug Targets. 17(10). 1111–1126. 12 indexed citations
15.
Spano, Carlotta, Giulia Grisendi, Olivia Candini, et al.. (2016). Soluble TRAIL-Armed Human AD-MSC as Novel Cell Therapy. Cytotherapy. 18(6). S24–S25. 1 indexed citations
16.
Rossignoli, Filippo, Giulia Golinelli, Giulia Grisendi, et al.. (2015). Mesenchymal stem/stromal cells as a delivery platform in cell and gene therapies. BMC Medicine. 13(1). 186–186. 111 indexed citations
17.
Grisendi, Giulia, Carlotta Spano, Valeria Rasini, et al.. (2014). Mesenchymal Progenitors ExpressingTRAILInduce Apoptosis in Sarcomas. Stem Cells. 33(3). 859–869. 43 indexed citations
18.
Rossignoli, Filippo, Anna Caselli, Giulia Grisendi, et al.. (2013). Isolation, Characterization, and Transduction of Endometrial Decidual Tissue Multipotent Mesenchymal Stromal/Stem Cells from Menstrual Blood. BioMed Research International. 2013. 1–14. 68 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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