Maya Bitar

649 citations
11 papers · 552 · h-index 5

Impact in

Papers in

Maya Bitar

10 papers receiving 546 citations

Peers

Maya Bitar
Comparison fields: 5 of 52
  • Ophthalmology 163
  • Radiology, Nuclear Medicine and Imaging 367
  • Clinical Biochemistry 32
  • Immunology 38
  • Molecular Biology 125
Replace Nathalie Puche with:
Nathalie Puche France
Sam Khandhadia United Kingdom
Xintong Jiang China
Eric H. Souied France
Francesco Saverio Sorrentino Italy
Mohammad Hossein Jabbarpoor Bonyadi Iran
Frances M. Pool United Kingdom
Sankaranarayanan Kaliappan United States
Meral Or Türkiye
Jaana Tammur United States
Maya Bitar relative to Nathalie Puche France Nathalie Puche's profile →
Citations per field
00.5×2.5×
Nathalie Puche · 1×
Citations per year

Countries citing papers authored by Maya Bitar

Since Specialization
Citations

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

Fields of papers citing papers by Maya Bitar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Maya Bitar, 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 Maya Bitar Line = papers co-authored together Maya Bitar links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010266
2 200895
3 201269
4 200964
5 200850
6
Challenges in Diagnosing Microspherophakia in a Pediatric Patient
20164
7
Antioxidant Gene Profiling and Oxidative DNA Damage in Fuchs Endothelial Corneal Dystrophy
20091
8 20171
9 20181
10 20161
11 20210

About Maya Bitar

Maya Bitar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pharmacology, Oncology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 552 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (2 papers), Clusterin in disease pathology (2 papers), Corneal surgery and disorders (2 papers), Medical and Biological Ozone Research (2 papers), Toxoplasma gondii Research Studies (1 paper), Child Abuse and Related Trauma (1 paper), Vasculitis and related conditions (1 paper) and Ocular Surface and Contact Lens (1 paper). The work is most often cited by research in Ophthalmology (163 citations), Radiology, Nuclear Medicine and Imaging (367 citations), Clinical Biochemistry (32 citations), Immunology (38 citations) and Molecular Biology (125 citations). Maya Bitar has collaborated with scholars based in United States. Frequent co-authors include Ula V. Jurkunas, Behrooz Azizi, Toshinari Funaki, Ian Rawe, Deshea L Harris, Kathryn Colby, Nancy C. Joyce, Cheng Zhu, Yu‐Ming Chen and Alireza Ziaei. Their work appears in journals such as Investigative Ophthalmology & Visual Science, American Journal Of Pathology, Cornea, American Journal of Ophthalmology Case Reports and Open Journal of Ophthalmology.

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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