Matteo Battaglini

2.4k citations
50 papers · 1.8k indexed · 1 hit paper · h-index 22

Matteo Battaglini

46 papers receiving 1.8k citations

Hit Papers

Advances in the design of solid lipid nanoparticles and n...4132017202620202023100200300400

Peers

Matteo Battaglini
Comparison fields: 5 of 122
  • Biomaterials 545
  • Pharmaceutical Science 203
  • Neurology 159
  • Biomedical Engineering 836
  • Biochemistry 66
Replace Hamed Amani with:
Hamed Amani Iran
Christos Tapeinos Italy
Buddhadev Layek United States
Tongkai Chen China
Han Chang Kang South Korea
Xiaowei Dong United States
Valentino Laquintana Italy
Ralf P. Friedrich Germany
João Nuno Moreira Portugal
Avinash Gothwal India
Matteo Battaglini relative to Hamed Amani Iran Hamed Amani's profile →
Citations per field
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Hamed Amani · 1×
Citations per year

Countries citing papers authored by Matteo Battaglini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Battaglini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Matteo Battaglini, 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 Matteo Battaglini Line = papers co-authored together Matteo Battaglini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20253
5 202410
6 20241
7 202412
8 202421
9 202318
10 202323
11 20232
12 20226
13 20227
14 202273
15 202218
16 202248
17 202142
18 20217
19 201833
20
Advances in the design of solid lipid nanoparticles and nanostructured lipid carriers for targeting brain diseasesbreakdown →
2017413

About Matteo Battaglini

Matteo Battaglini is a scholar working on Biomaterials, Neurology and Biomedical Engineering, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (13 papers), 3D Printing in Biomedical Research (11 papers), Advanced Nanomaterials in Catalysis (10 papers), Nanoparticle-Based Drug Delivery (9 papers), RNA Interference and Gene Delivery (6 papers), Neuroscience and Neural Engineering (5 papers), Graphene and Nanomaterials Applications (5 papers) and Nanoparticles: synthesis and applications (5 papers). The work is most often cited by research in Biomaterials (545 citations), Pharmaceutical Science (203 citations) and Neurology (159 citations). Matteo Battaglini has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Gianni Ciofani, Christos Tapeinos, Attilio Marino, Edoardo Sinibaldi, Daniele De Pasquale, Alessio Carmignani, Carlotta Pucci, Omar Tricinci, Chiara Martinelli and Andrea Degl’Innocenti. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Advanced Functional Materials.

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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