Michael Evangelopoulos

4.0k citations
51 papers · 3.3k indexed · 2 hit papers · h-index 30

Impact in

Papers in

Michael Evangelopoulos

51 papers receiving 3.3k citations

Hit Papers

Biomimetic proteolipid vesicles for targeting inflamed tissues 2016 · 365 citations
3652012202620162021250500750

Peers

Michael Evangelopoulos
Comparison fields: 5 of 119
  • Biomaterials 1.3k
  • Biomedical Engineering 1.7k
  • Immunology 553
  • Molecular Biology 1.7k
  • Pharmaceutical Science 112
Replace Claudia Corbo with:
Claudia Corbo Italy
Jonathan O. Martinez United States
Roberto Molinaro United States
Chunyan Dong China
Yao Jiang China
Diana Dehaini United States
Maxim Shevtsov Russia
Huijuan Song China
Hanze Hu United States
Yuji Teramura Japan
Michael Evangelopoulos relative to Claudia Corbo Italy Claudia Corbo's profile →
Citations per field
00.5×1.5×
Claudia Corbo · 1×
Citations per year

Countries citing papers authored by Michael Evangelopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Michael Evangelopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202312
2 202369
3 20237
4 202219
5 202141
6 202171
7 202144
8 202019
9 202020
10 202017
11 201811
12 2018100
13 201771
14 201751
15 201664
16 201549
17 201530
18 201537
19 201426
20 201240

About Michael Evangelopoulos

Michael Evangelopoulos is a scholar working on Biomaterials, Immunology, Biomedical Engineering, Molecular Biology and Cancer Research, having authored 51 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (22 papers), Nanoplatforms for cancer theranostics (17 papers), Nanoparticle-Based Drug Delivery (16 papers), Advanced biosensing and bioanalysis techniques (13 papers), Immunotherapy and Immune Responses (10 papers), Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (4 papers) and Graphene and Nanomaterials Applications (4 papers). The work is most often cited by research in Biomaterials (1.3k citations), Biomedical Engineering (1.7k citations), Immunology (553 citations), Molecular Biology (1.7k citations) and Pharmaceutical Science (112 citations). Michael Evangelopoulos has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Ennio Tasciotti, Jonathan O. Martinez, Alessandro Parodi, Iman K. Yazdi, Claudia Corbo, Mauro Ferrari, Brandon Brown, Roberto Molinaro, Francesca Taraballi and Ciro Chiappini. Their work appears in journals such as Scientific Reports, Journal of the American Chemical Society, Biomaterials, Nanomedicine and Small.

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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