JL Rait

719 citations
8 papers · 585 · h-index 4

Impact in

Papers in

JL Rait

7 papers receiving 567 citations

Peers

JL Rait
Comparison fields: 5 of 39
  • Ophthalmology 481
  • Radiology, Nuclear Medicine and Imaging 96
  • Cell Biology 71
  • Neurology 25
  • Molecular Biology 175
Replace K. Kawase with:
K. Kawase Japan
J. M. Liebmann United States
F Valtot France
Robert Ritch United States
Minoru Obazawa Japan
Seongsoo Sohn South Korea
Nicholas Tolman United States
Cecilia Fenerty United Kingdom
Pancy Oi Sin Tam Hong Kong
Kazushiro Okazaki Japan
JL Rait relative to K. Kawase Japan K. Kawase's profile →
Citations per field
00.5×1.5×
K. Kawase · 1×
Citations per year

Countries citing papers authored by JL Rait

Since Specialization
Citations

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

Fields of papers citing papers by JL Rait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JL Rait. 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 JL Rait. The network helps show where JL Rait may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1999474
2
Accuracy and implications of a reported family history of glaucoma: experience from the Glaucoma Inheritance Study in Tasmania.
200063
3 200642
4 19993
5
Predictive DNA testing for glaucoma with the GLC1A gene: experience with a large Australian family
19981
6
A combined strategy of screening and threshold humphrey visual-field testing for population based use
19931
7
The Hereditary Glaucoma Study in Tasmania .4. the Phenotype of the Glaucoma Pedigree Gtas2
19951
8 20090

About JL Rait

JL Rait is a scholar working on Ophthalmology, Pathology and Forensic Medicine, Molecular Biology, Nephrology and Neurology, having authored 8 papers that have together received 585 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (4 papers), Ophthalmology and Eye Disorders (2 papers), Medical History and Innovations (1 paper), History of Medicine Studies (1 paper), Ophthalmology and Visual Health Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Migraine and Headache Studies (1 paper). The work is most often cited by research in Ophthalmology (481 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Cell Biology (71 citations), Neurology (25 citations) and Molecular Biology (175 citations). JL Rait has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include David A. Mackey, Jamie E. Craig, Y Kitazawa, Sek Tien Hoh, Donna Williams-Lyn, Edwin M. Stone, Yvonne M. Buys, Tetsuya Yamamoto, J. M. Liebmann and Val C. Sheffield. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology, Human Molecular Genetics, eCite Digital Repository (University of Tasmania) and PubMed.

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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