Roxana Coreas

11 papers receiving 605 citations

Roxana Coreas's Hit Papers

AI-Based Prediction of Protein Corona Composition on DNA Nanostructures 2025 · 18 citations
180+1+2Years since publication100200300

Peers

Roxana Coreas
Comparison fields: 5 of 91
  • Biomaterials 220
  • Pollution 65
  • Biomedical Engineering 229
  • Surfaces, Coatings and Films 35
  • Materials Chemistry 168
Replace David Garry with:
David Garry Ireland
Cecilia Oslakovic Sweden
Didar Baimanov China
Sarah Wiegele Germany
Frank Thielbeer United Kingdom
Julia Susanne Gebauer Germany
Debamitra Dutta United States
Roberto Guzmán United States
Blanka Halamoda‐Kenzaoui Italy
Angelina Hahlbrock Germany
Roxana Coreas relative to David Garry Ireland David Garry's profile →
Citations per field
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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 →
2023350
2 202077
3 202242
4 202039
5 202123
6 202023
7
AI-Based Prediction of Protein Corona Composition on DNA Nanostructures
Hit paper breakdown →
202518
8 202217
9 201910
10 20255
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 609 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (5 papers), Graphene and Nanomaterials Applications (3 papers), Extracellular vesicles in disease (2 papers), Nanoparticles: synthesis and applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Field-Flow Fractionation Techniques (1 paper) and Particle Dynamics in Fluid Flows (1 paper). The work is most often cited by research in Biomaterials (220 citations), Pollution (65 citations), Biomedical Engineering (229 citations), Surfaces, Coatings and Films (35 citations) and Materials Chemistry (168 citations). Roxana Coreas has collaborated with scholars based in United States. Frequent co-authors include Markita P. Landry, Anna Moore, Morteza Mahmoudi, Wenwan Zhong, Philip Demokritou, Dimitrios Bitounis, Xiaoqiong Cao, Glen M. DeLoid, Yang Liu and Yaokai Duan. Their work appears in journals such as NanoImpact, Environmental Science & Technology, Analytical Chemistry, Nature Communications and Chemical Research in Toxicology.

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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