Mauro Ferrari

28.5k total citations · 4 hit papers
260 papers, 20.7k citations indexed

About

Mauro Ferrari is a scholar working on Biomedical Engineering, Biomaterials and Molecular Biology. According to data from OpenAlex, Mauro Ferrari has authored 260 papers receiving a total of 20.7k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Biomedical Engineering, 92 papers in Biomaterials and 87 papers in Molecular Biology. Recurrent topics in Mauro Ferrari's work include Nanoparticle-Based Drug Delivery (84 papers), Nanoplatforms for cancer theranostics (36 papers) and RNA Interference and Gene Delivery (33 papers). Mauro Ferrari is often cited by papers focused on Nanoparticle-Based Drug Delivery (84 papers), Nanoplatforms for cancer theranostics (36 papers) and RNA Interference and Gene Delivery (33 papers). Mauro Ferrari collaborates with scholars based in United States, Italy and China. Mauro Ferrari's co-authors include Haifa Shen, Elvin Blanco, Joy Wolfram, Paolo Decuzzi, Xuewu Liu, Biana Godin, Ennio Tasciotti, Thomas A. Luger, Harald Fuchs and Kristina Riehemann and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Mauro Ferrari

258 papers receiving 20.5k citations

Hit Papers

Principles of nanoparticle design for overcoming biologi... 2009 2026 2014 2020 2015 2009 2012 2019 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mauro Ferrari United States 62 9.6k 8.2k 7.4k 4.3k 1.7k 260 20.7k
Jinjun Shi United States 66 9.3k 1.0× 6.9k 0.8× 8.4k 1.1× 4.7k 1.1× 1.2k 0.7× 138 20.2k
Twan Lammers Germany 85 12.1k 1.3× 10.5k 1.3× 7.3k 1.0× 4.1k 0.9× 2.2k 1.4× 332 24.8k
Jinming Gao United States 68 7.0k 0.7× 6.9k 0.8× 6.3k 0.9× 3.1k 0.7× 1.3k 0.8× 173 17.8k
Andrew Z. Wang United States 60 7.3k 0.8× 6.8k 0.8× 5.4k 0.7× 2.8k 0.7× 1.9k 1.2× 268 16.2k
Dan Peer Israel 57 6.7k 0.7× 7.5k 0.9× 9.7k 1.3× 2.5k 0.6× 1.5k 0.9× 155 18.6k
Wei Tao China 91 12.9k 1.3× 7.1k 0.9× 9.3k 1.3× 7.8k 1.8× 1.6k 0.9× 273 26.1k
Kwangmeyung Kim South Korea 88 12.1k 1.3× 11.2k 1.4× 10.0k 1.4× 4.8k 1.1× 2.0k 1.2× 381 25.8k
Fabian Kießling Germany 80 11.6k 1.2× 7.4k 0.9× 6.9k 0.9× 3.6k 0.8× 2.5k 1.5× 481 26.3k
Wei Wei China 75 7.0k 0.7× 3.7k 0.5× 6.9k 0.9× 4.5k 1.0× 2.4k 1.4× 574 20.9k
Stefaan C. De Smedt Belgium 94 10.0k 1.0× 7.9k 1.0× 13.8k 1.9× 5.1k 1.2× 967 0.6× 475 31.6k

Countries citing papers authored by Mauro Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Ferrari. A scholar is included among the top collaborators of Mauro Ferrari 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 Mauro Ferrari. Mauro Ferrari 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
1.
Goel, Shreya, Guodong Zhang, Prashant Dogra, et al.. (2020). Sequential deconstruction of composite drug transport in metastatic breast cancer. Science Advances. 6(26). eaba4498–eaba4498. 12 indexed citations
2.
Chua, Corrine Ying Xuan, et al.. (2020). Emerging Technologies for Local Cancer Treatment. Advanced Therapeutics. 3(9). 60 indexed citations
3.
Ruiz-Ramírez, Javier, Prashant Dogra, Zhihui Wang, et al.. (2020). Intratumoral injection of hydrogel-embedded nanoparticles enhances retention in glioblastoma. Nanoscale. 12(46). 23838–23850. 59 indexed citations
4.
Dadbin, Ali, et al.. (2020). Development of lung metastases in mouse models of tongue squamous cell carcinoma. Oral Diseases. 27(3). 494–505. 7 indexed citations
5.
Mu, Chaofeng, Xiaoyan Wu, Joy Wolfram, et al.. (2018). Chemotherapy Sensitizes Therapy-Resistant Cells to Mild Hyperthermia by Suppressing Heat Shock Protein 27 Expression in Triple-Negative Breast Cancer. Clinical Cancer Research. 24(19). 4900–4912. 27 indexed citations
6.
Bruno, Giacomo, Nicola Di Trani, R. Lyle Hood, et al.. (2018). Unexpected behaviors in molecular transport through size-controlled nanochannels down to the ultra-nanoscale. Nature Communications. 9(1). 1682–1682. 64 indexed citations
7.
Bruno, Giacomo, et al.. (2018). Gas Flow at the Ultra-nanoscale: Universal Predictive Model and Validation in Nanochannels of Ångstrom-Level Resolution. ACS Applied Materials & Interfaces. 10(38). 32233–32238. 18 indexed citations
8.
Ban, Yi, Junhua Mai, Xin Li, et al.. (2017). Targeting Autocrine CCL5–CCR5 Axis Reprograms Immunosuppressive Myeloid Cells and Reinvigorates Antitumor Immunity. Cancer Research. 77(11). 2857–2868. 122 indexed citations
9.
Varoni, Elena Maria, et al.. (2017). Nanomedicine, an emerging therapeutic strategy for oral cancer therapy. Oral Oncology. 76. 1–7. 74 indexed citations
10.
Tanei, Tomonori, Fransisca Leonard, Xuewu Liu, et al.. (2016). Redirecting Transport of Nanoparticle Albumin-Bound Paclitaxel to Macrophages Enhances Therapeutic Efficacy against Liver Metastases. Cancer Research. 76(2). 429–439. 59 indexed citations
11.
Xu, Rong, Guodong Zhang, Junhua Mai, et al.. (2016). An injectable nanoparticle generator enhances delivery of cancer therapeutics. Nature Biotechnology. 34(4). 414–418. 228 indexed citations
12.
Xia, Xiaojun, Junhua Mai, Rong Xu, et al.. (2015). Porous Silicon Microparticle Potentiates Anti-Tumor Immunity by Enhancing Cross-Presentation and Inducing Type I Interferon Response. Cell Reports. 11(6). 957–966. 78 indexed citations
13.
Tomaiuolo, Giovanna, Francesca Taraballi, Silvia Minardi, et al.. (2015). Red blood cells affect the margination of microparticles in synthetic microcapillaries and intravital microcirculation as a function of their size and shape. Journal of Controlled Release. 217. 263–272. 64 indexed citations
14.
Corradetti, Bruna, Francesca Taraballi, Silvia Minardi, et al.. (2014). Osteoprogenitor Cells from Bone Marrow and Cortical Bone: Understanding How the Environment Affects Their Fate. Stem Cells and Development. 24(9). 1112–1123. 31 indexed citations
15.
Martinez, Jonathan O., Michael Evangelopoulos, Christian Boada, et al.. (2014). The effect of multistage nanovector targeting of VEGFR2 positive tumor endothelia on cell adhesion and local payload accumulation. Biomaterials. 35(37). 9824–9832. 26 indexed citations
16.
Koay, Eugene J. & Mauro Ferrari. (2014). Transport Oncophysics in silico, in vitro, and in vivo. Physical Biology. 11(6). 60201–60201. 11 indexed citations
17.
Blanco, Elvin, Takafumi Sangai, Suhong Wu, et al.. (2014). Colocalized Delivery of Rapamycin and Paclitaxel to Tumors Enhances Synergistic Targeting of the PI3K/Akt/mTOR Pathway. Molecular Therapy. 22(7). 1310–1319. 55 indexed citations
18.
Ven, Anne L. van de, Aaron Mack, Kenneth Dunner, Mauro Ferrari, & Rita E. Serda. (2012). Preparation, Characterization, and Cellular Associations of Silicon Logic-Embedded Vectors. Methods in enzymology on CD-ROM/Methods in enzymology. 508. 1–16. 5 indexed citations
19.
Frieboes, Hermann B., Mary E. Edgerton, John P. Fruehauf, et al.. (2009). Prediction of Drug Response in Breast Cancer Using Integrative Experimental/Computational Modeling. Cancer Research. 69(10). 4484–4492. 106 indexed citations
20.
Bearer, Elaine L., John Lowengrub, Hermann B. Frieboes, et al.. (2009). Multiparameter Computational Modeling of Tumor Invasion. Cancer Research. 69(10). 4493–4501. 98 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026