Susan J. Leat
- Epidemiology top 2%
- Ophthalmology top 0.5%
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Social Psychology top 10%
- Co-authors
- Elizabeth L. IrvingJ. Margaret WoodhouseMark A. BullimoreNaveen YadavGordon E. LeggeKathryn J. SaundersGeorge C. WooWei Li
- Topics
- Ophthalmology and Visual Impairment Studies (53 papers)Visual perception and processing mechanisms (20 papers)Retinal Imaging and Analysis (12 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Susan J. Leat
84 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Epidemiology 1.1k
- Ophthalmology 738
- Cognitive Neuroscience 654
- Radiology, Nuclear Medicine and Imaging 557
- Social Psychology 116
Countries citing papers authored by Susan J. Leat
This map shows the geographic impact of Susan J. Leat'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 Susan J. Leat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan J. Leat more than expected).
Fields of papers citing papers by Susan J. Leat
This network shows the impact of papers produced by Susan J. Leat. 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 Susan J. Leat. The network helps show where Susan J. Leat may publish in the future.
Co-authorship network of co-authors of Susan J. Leat
This figure shows the co-authorship network connecting the top 25 collaborators of Susan J. Leat. A scholar is included among the top collaborators of Susan J. Leat 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 Susan J. Leat. Susan J. Leat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | Visual Function of Visually Impaired Paralympic Skiers | 2 |
| 7 | 16 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | 20 | |
| 11 | 21 | |
| 12 | 48 | |
| 13 | 10 | |
| 14 | 29 | |
| 15 | Progression in Literacy Skills With Bifocals in Children With Down Syndrome (BiDS) | 1 |
| 16 | 16 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 36 | |
| 20 | 2 |
About Susan J. Leat
Susan J. Leat is a scholar working on Medical Terminology, Ophthalmology and Epidemiology, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (53 papers), Visual perception and processing mechanisms (20 papers) and Retinal Imaging and Analysis (12 papers). The work is most often cited by research in Ophthalmology (738 citations), Cognitive Neuroscience (654 citations) and Epidemiology (1.1k citations). Susan J. Leat has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Elizabeth L. Irving, J. Margaret Woodhouse, Mark A. Bullimore, Naveen Yadav, Gordon E. Legge, Kathryn J. Saunders, George C. Woo, Wei Li, Jan E. Lovie‐Kitchin and Chris A. Johnson. Their work appears in journals such as Scientific Reports, Vision Research and Investigative Ophthalmology & Visual Science.
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.