Roxana Coreas

985 citations
11 papers · 695 · 2 hit papers · h-index 10

Impact in

    • Nanoparticle-Based Drug Delivery
  • Pollution top 10%
    • Microplastics and Plastic Pollution

Papers in

Roxana Coreas

11 papers receiving 691 citations

Roxana Coreas's Hit Papers

AI-Based Prediction of Protein Corona Composition on DNA Nanostructures 2025 · 30 citations
300+1+2Years since publication100200300

Peers

Roxana Coreas
Comparison fields: 5 of 94
  • Biomaterials 229
  • Pollution 70
  • Surfaces, Coatings and Films 38
  • Biomedical Engineering 234
  • Molecular Biology 257
Replace David Garry with:
David Garry Ireland
Cecilia Oslakovic Sweden
Didar Baimanov China
Sarah Wiegele Germany
Desirè Di Silvio Spain
Angelina Hahlbrock Germany
Julia Susanne Gebauer Germany
Debamitra Dutta United States
Blanka Halamoda‐Kenzaoui Italy
Lorenzo Russo Spain
Roxana Coreas relative to David Garry Ireland David Garry's profile →
Citations per field
00.5×2×4×6×8×9.7×
David Garry · 1×
Citations per year

Countries citing papers authored by Roxana Coreas

Since Specialization
Citations

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

Fields of papers citing papers by Roxana Coreas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
The protein corona from nanomedicine to environmental science
Hit paper breakdown →
2023391
2 202088
3 202246
4 202039
5
AI-Based Prediction of Protein Corona Composition on DNA Nanostructures
Hit paper breakdown →
202530
6 202025
7 202124
8 202220
9 202517
10 201910
11 20235

About Roxana Coreas

Roxana Coreas is a scholar working on Biomedical Engineering, Biomaterials, Molecular Biology, Materials Chemistry and Pollution, having authored 11 papers that have together received 695 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (5 papers), Graphene and Nanomaterials Applications (3 papers), Nanoparticles: synthesis and applications (2 papers), Extracellular vesicles in disease (2 papers), Recycling and Waste Management Techniques (1 paper), 2D Materials and Applications (1 paper), Microplastics and Plastic Pollution (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Biomaterials (229 citations), Pollution (70 citations), Surfaces, Coatings and Films (38 citations), Biomedical Engineering (234 citations) and Molecular Biology (257 citations). Roxana Coreas has collaborated with scholars based in United States. Frequent co-authors include Markita P. Landry, Morteza Mahmoudi, Anna Moore, Wenwan Zhong, Philip Demokritou, Dimitrios Bitounis, Xiaoqiong Cao, Glen M. DeLoid, Michael S. Strano and Yang Liu. Their work appears in journals such as Analytical Chemistry, Environmental Science & Technology, NanoImpact, ACS Nano and Nature Reviews 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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