JL Rait

713 citations
10 papers · 616 · 1 hit paper · h-index 4

Impact in

Papers in

JL Rait

9 papers receiving 589 citations

JL Rait's Hit Papers

Analysis of Myocilin Mutations in 1703 Glaucoma Patients From Five Different Populations 1999 · 490 citations
4900+9+18Years since publication100200300400

Peers

JL Rait
Comparison fields: 5 of 33
  • Ophthalmology 544
  • Developmental Biology 9
  • Genetics 37
  • Developmental Neuroscience 3
  • Cell Biology 12
Replace K. Kawase with:
K. Kawase Japan
J C Dascotte France
A.F. Clark United States
Tomihiko Tanino Japan
Doug Rhee United States
Minoru Obazawa Japan
Kirsti K. Takki Finland
Colleen M. McDowell United States
Nicholas G. Tolman United States
Minako Ogata-Iwao 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

10 of 10 papers shown
#Work
1
Analysis of Myocilin Mutations in 1703 Glaucoma Patients From Five Different Populations
Hit paper breakdown →
1999490
2
Accuracy and implications of a reported family history of glaucoma: experience from the Glaucoma Inheritance Study in Tasmania.
200070
3 200646
4 19965
5
A combined strategy of screening and threshold humphrey visual-field testing for population based use
19931
6
The Hereditary Glaucoma Study in Tasmania .4. the Phenotype of the Glaucoma Pedigree Gtas2
19951
7 19971
8
Predictive DNA testing for glaucoma with the GLC1A gene: experience with a large Australian family
19981
9 19991
10 20090

About JL Rait

JL Rait is a scholar working on Ophthalmology, History and Philosophy of Science, Neurology, Psychiatry and Mental health and Nuclear Energy and Engineering, having authored 10 papers that have together received 616 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (8 papers), History of Medical Practice (1 paper), History of Science and Medicine (1 paper) and Migraine and Headache Studies (1 paper). The work is most often cited by research in Ophthalmology (544 citations), Developmental Biology (9 citations), Genetics (37 citations), Developmental Neuroscience (3 citations) and Cell Biology (12 citations). JL Rait has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David Anthony Mackey, Jamie E. Craig, Yvonne M. Buys, Val C. Sheffield, Robert H. Ritch, John H. Fingert, Edwin M. Stone, Elise Héon, Sek Tien Hoh and Donna Williams-Lyn. Their work appears in journals such as British Journal of Ophthalmology, Investigative Ophthalmology & Visual Science, Human Molecular Genetics, Elsevier eBooks and eCite Digital Repository (University of Tasmania).

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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