Linda McCarthy
- Molecular Biology
- Genetics top 5%
- Clinical Psychology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Psychiatry and Mental health top 10%
- Co-authors
- Chun‐Fang XuKaren LewisIan J. PurvisAstrid YeoAruna T. BansalLouise K. HoskingJohn RileyWilliam J. Sibbald
- Topics
- Retinal Diseases and Treatments (4 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)Posttraumatic Stress Disorder Research (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Linda McCarthy
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 450
- Genetics 424
- Clinical Psychology 177
- Public Health, Environmental and Occupational Health 175
- Psychiatry and Mental health 135
Countries citing papers authored by Linda McCarthy
This map shows the geographic impact of Linda McCarthy'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 Linda McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda McCarthy more than expected).
Fields of papers citing papers by Linda McCarthy
This network shows the impact of papers produced by Linda McCarthy. 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 Linda McCarthy. The network helps show where Linda McCarthy may publish in the future.
Co-authorship network of co-authors of Linda McCarthy
This figure shows the co-authorship network connecting the top 25 collaborators of Linda McCarthy. A scholar is included among the top collaborators of Linda McCarthy 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 Linda McCarthy. Linda McCarthy 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 | 10 | |
| 3 | 7 | |
| 4 | 25 | |
| 5 | Genetic Factors Associated With Early Response To Intravitreal Ranibizumab Treatment In Korean Neovascular Age-related Macular Degeneration Patients | 1 |
| 6 | 12 | |
| 7 | 57 | |
| 8 | 17 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 32 | |
| 12 | 11 | |
| 13 | 36 | |
| 14 | 13 | |
| 15 | 53 | |
| 16 | 12 | |
| 17 | 22 | |
| 18 | 172 | |
| 19 | 25 | |
| 20 | 67 |
About Linda McCarthy
Linda McCarthy is a scholar working on Developmental Biology, Ophthalmology and Pharmacology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Posttraumatic Stress Disorder Research (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (80 citations), Genetics (424 citations) and Psychiatry and Mental health (135 citations). Linda McCarthy has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Chun‐Fang Xu, Karen Lewis, Ian J. Purvis, Astrid Yeo, Aruna T. Bansal, Louise K. Hosking, John Riley, William J. Sibbald, Kevin Busche and Kevin J. Inman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.
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.