Nadia Zakaria

2.1k citations
46 papers · 1.5k indexed · h-index 20

Nadia Zakaria

45 papers receiving 1.4k citations

Peers

Nadia Zakaria
Comparison fields: 5 of 96
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Ophthalmology 451
  • Public Health, Environmental and Occupational Health 690
  • Biomaterials 118
  • Urology 30
Replace Sorcha Ní Dhubhghaill with:
Sorcha Ní Dhubhghaill Belgium
Sally Hayes United Kingdom
Matthias Fuest Germany
Hon Shing Ong Singapore
Stefan Schrader Germany
Ezra Maguen United States
Jianjiang Xu China
Chenqi Luo China
Y Pouliquen France
Juan Ye China
Nadia Zakaria relative to Sorcha Ní Dhubhghaill Belgium Sorcha Ní Dhubhghaill's profile →
Citations per field
00.5×1.5×
Sorcha Ní Dhubhghaill · 1×
Citations per year

Countries citing papers authored by Nadia Zakaria

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Zakaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 202029
3 201929
4 201915
5 201826
6 201851
7 201841
8 20168
9 201691
10 201615
11
Automated detection of Fuchs’ dystrophy through a machine learning algorithm using Pentacam data
20151
12 20156
13 2015130
14 201518
15 201565
16 201491
17
A Novel Fish Scale Derived Scaffold for Ocular Reconstruction
20131
18 201240
19 20103
20 200944

About Nadia Zakaria

Nadia Zakaria is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (33 papers), Corneal surgery and disorders (24 papers), Ocular Surface and Contact Lens (21 papers), Glaucoma and retinal disorders (8 papers), Ocular Disorders and Treatments (7 papers), Ophthalmology and Visual Impairment Studies (5 papers), Retinal Diseases and Treatments (3 papers) and Intraocular Surgery and Lenses (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Ophthalmology (451 citations) and Public Health, Environmental and Occupational Health (690 citations). Nadia Zakaria has collaborated with scholars based in Belgium, United Kingdom and Switzerland. Frequent co-authors include Sorcha Ní Dhubhghaill, Carina Koppen, Marie‐José Tassignon, J. Rozema, Bert Van den Bogerd, Irene Ruiz Hidalgo, Michel Haagdorens, Veerle Van Gerwen, Zwi Berneman and Pablo Rodríguez. Their work appears in journals such as PLoS ONE, Biomaterials and Scientific Reports.

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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