Eamonn A. Gaffney
- Condensed Matter Physics top 0.5%
- Biomedical Engineering top 2%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 2%
- Computer Networks and Communications top 2%
- Co-authors
- David J. SmithPhilip K. MainiKenta IshimotoJ. R. BlakeJackson Kirkman‐BrownHermes GadêlhaRuth E. BakerThomas E. Woolley
- Topics
- Micro and Nano Robotics (42 papers)Microfluidic and Bio-sensing Technologies (35 papers)Gene Regulatory Network Analysis (29 papers)
- Partner nations
- United KingdomJapanSlovakia
In The Last Decade
Eamonn A. Gaffney
177 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 159
- Condensed Matter Physics 1.6k
- Biomedical Engineering 1.5k
- Molecular Biology 1.2k
- Public Health, Environmental and Occupational Health 889
- Computer Networks and Communications 674
Countries citing papers authored by Eamonn A. Gaffney
This map shows the geographic impact of Eamonn A. Gaffney'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 Eamonn A. Gaffney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eamonn A. Gaffney more than expected).
Fields of papers citing papers by Eamonn A. Gaffney
This network shows the impact of papers produced by Eamonn A. Gaffney. 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 Eamonn A. Gaffney. The network helps show where Eamonn A. Gaffney may publish in the future.
Co-authorship network of co-authors of Eamonn A. Gaffney
This figure shows the co-authorship network connecting the top 25 collaborators of Eamonn A. Gaffney. A scholar is included among the top collaborators of Eamonn A. Gaffney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eamonn A. Gaffney. Eamonn A. Gaffney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 46 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 15 | |
| 15 | 11 | |
| 16 | 22 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | What is the biologically relevant KD for VEGF binding to ranibizumab in the eye? A comparison of in-vivo and in-vitro estimates. | 3 |
| 20 | 9 |
About Eamonn A. Gaffney
Eamonn A. Gaffney is a scholar working on Modeling and Simulation, Condensed Matter Physics and Ophthalmology, having authored 182 papers that have together received 5.2k indexed citations. Recurring topics across this work include Micro and Nano Robotics (42 papers), Microfluidic and Bio-sensing Technologies (35 papers) and Gene Regulatory Network Analysis (29 papers). The work is most often cited by research in Condensed Matter Physics (1.6k citations), Modeling and Simulation (429 citations) and Cell Biology (553 citations). Eamonn A. Gaffney has collaborated with scholars based in United Kingdom, Japan and Slovakia. Frequent co-authors include David J. Smith, Philip K. Maini, Kenta Ishimoto, J. R. Blake, Jackson Kirkman‐Brown, Hermes Gadêlha, Ruth E. Baker, Thomas E. Woolley, Henry Shum and Anthony J. Bron. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physiology.
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.