Claire O’Connell

1.1k citations
18 papers · 481 · h-index 12

Impact in

Papers in

    • Biosensors and Analytical Detection 3
    • 3D Printing in Biomedical Research 2
    • Bone Tissue Engineering Materials 2
    • Nanoparticle-Based Drug Delivery 2

Claire O’Connell

15 papers receiving 472 citations

Peers

Claire O’Connell
Comparison fields: 5 of 101
  • Biomaterials 129
  • Cellular and Molecular Neuroscience 142
  • Surfaces, Coatings and Films 41
  • Biomedical Engineering 212
  • Developmental Neuroscience 17
Replace Ekaterina A. Grebenik with:
Ekaterina A. Grebenik Russia
Zhongxiang Jiang China
Junfei Xia United States
Junfeng Shi United States
Ana Fokina Germany
James P. Camp United States
Sibai Xie United States
Sabrina Schlie-Wolter Germany
Misael O. Avilés United States
Stefan Kalies Germany
Claire O’Connell relative to Ekaterina A. Grebenik Russia Ekaterina A. Grebenik's profile →
Citations per field
00.5×3.4×
Ekaterina A. Grebenik · 1×
Citations per year

Countries citing papers authored by Claire O’Connell

Since Specialization
Citations

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

Fields of papers citing papers by Claire O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire O’Connell. 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 Claire O’Connell. The network helps show where Claire O’Connell may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2008130
2 201872
3 201260
4 200840
5 201438
6 201623
7 201523
8 200922
9 201518
10 201018
11 200712
12 201712
13 20199
14 20073
15 20051
16 20200
17 20180
18 20180

About Claire O’Connell

Claire O’Connell is a scholar working on Biomedical Engineering, Biomaterials, Electrical and Electronic Engineering, Molecular Biology and Computational Mechanics, having authored 18 papers that have together received 481 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Laser Material Processing Techniques (3 papers), Biosensors and Analytical Detection (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nerve injury and regeneration (2 papers), Nanoparticle-Based Drug Delivery (2 papers), 3D Printing in Biomedical Research (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Biomaterials (129 citations), Cellular and Molecular Neuroscience (142 citations), Surfaces, Coatings and Films (41 citations), Biomedical Engineering (212 citations) and Developmental Neuroscience (17 citations). Claire O’Connell has collaborated with scholars based in Ireland, United States and Germany. Frequent co-authors include Richard Sherlock, Abhay Pandit, Li Yao, Anthony J. Windebank, Robert Nooney, Colette McDonagh, Michael Ball, Wenjin Cui, Gopinath Damodaran and Shenguo Wang. Their work appears in journals such as Sensors and Actuators B Chemical, Journal of Colloid and Interface Science, Health Affairs, Applied Surface Science and Food Chemistry.

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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