Federico Perche

2.9k citations
34 papers · 2.4k · h-index 23

Impact in

    • Nanoparticle-Based Drug Delivery
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques

Papers in

    • RNA Interference and Gene Delivery 25
    • Advanced biosensing and bioanalysis techniques 13
    • RNA and protein synthesis mechanisms 2
    • Nanoplatforms for cancer theranostics 5
    • Graphene and Nanomaterials Applications 4

Federico Perche

31 papers receiving 2.4k citations

Peers

Federico Perche
Comparison fields: 5 of 99
  • Biomaterials 971
  • Molecular Biology 1.4k
  • Biomedical Engineering 855
  • Cancer Research 233
  • Pharmaceutical Science 80
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Zhiting Cao China
Mikyung Yu United States
Nasha Qiu China
Leaf Huang United States
Yingjuan Lu United States
Gayong Shim South Korea
Amir K. Varkouhi Netherlands
Kai Han China
Meir Goldsmith Israel
Guangna Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Federico Perche

Since Specialization
Citations

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

Fields of papers citing papers by Federico Perche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Federico Perche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Federico Perche Line = papers co-authored together Federico Perche links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013329
2 2014221
3 2013203
4 2014196
5 2011185
6 2012129
7 2012117
8 2020114
9 2019110
10 201696
11 201383
12 201381
13 201472
14 201454
15 201949
16 201648
17 201047
18 202140
19 201930
20 202129

About Federico Perche

Federico Perche is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Immunology and Genetics, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (25 papers), Advanced biosensing and bioanalysis techniques (13 papers), Nanoparticle-Based Drug Delivery (7 papers), Nanoplatforms for cancer theranostics (5 papers), Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (4 papers), Graphene and Nanomaterials Applications (4 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biomaterials (971 citations), Molecular Biology (1.4k citations), Biomedical Engineering (855 citations), Cancer Research (233 citations) and Pharmaceutical Science (80 citations). Federico Perche has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Vladimir P. Torchilin, Lin Zhu, Tao Wang, Chantal Pichon, Vladimir P. Torchilin, Swati Biswas, V. P. Torchilin, Patrick Midoux, Satoshi Uchida and Niravkumar R. Patel. Their work appears in journals such as Journal of Controlled Release, Molecular Therapy — Nucleic Acids, International Journal of Pharmaceutics, Biomaterials and Cancer Letters.

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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