JL Rait

719 citations
9 papers · 618 · h-index 4

Impact in

Papers in

JL Rait

8 papers receiving 594 citations

Peers

JL Rait
Comparison fields: 5 of 35
  • Ophthalmology 509
  • Radiology, Nuclear Medicine and Imaging 103
  • Cell Biology 73
  • Neurology 26
  • Molecular Biology 180
Replace Kango Kawase with:
Kango Kawase Japan
F Valtot France
Sripriya Sarangapani India
Greda Picht Germany
John K.H. Chua Hong Kong
Hailin Meng China
Colleen M McDowell United States
Ryusuke Futa Japan
Abbott F. Clark United States
Ari Ziskind South Africa
JL Rait relative to Kango Kawase Japan Kango Kawase's profile →
Citations per field
00.5×1.5×
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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

9 of 9 papers shown
#Work
1 1999492
2
Accuracy and implications of a reported family history of glaucoma: experience from the Glaucoma Inheritance Study in Tasmania.
200071
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 20090

About JL Rait

JL Rait is a scholar working on Ophthalmology, Pathology and Forensic Medicine, Nephrology, Psychiatry and Mental health and Neurology, having authored 9 papers that have together received 618 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (6 papers), Ophthalmology and Eye Disorders (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Migraine and Headache Studies (1 paper), Renal Diseases and Glomerulopathies (1 paper), Cerebral Venous Sinus Thrombosis (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Ophthalmology (509 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Cell Biology (73 citations), Neurology (26 citations) and Molecular Biology (180 citations). JL Rait has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include David Anthony Mackey, Jamie E. Craig, Jeffrey M Liebmann, Robert Ritch, Yu Kitazawa, Graham E. Trope, Tetsuya Yamamoto, Edwin M. Stone, Kango Kawase and Donna Williams-Lyn. Their work appears in journals such as British Journal of Ophthalmology, Investigative Ophthalmology & Visual Science, Human Molecular Genetics, PubMed and Elsevier eBooks.

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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