Tabib Dabir

3.0k citations
12 papers · 118 · h-index 6

Impact in

Papers in

    • Ocular Disorders and Treatments 2
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
    • Genetics and Neurodevelopmental Disorders 1
    • Genomics and Rare Diseases 1

Tabib Dabir

12 papers receiving 117 citations

Peers

Tabib Dabir
Comparison fields: 5 of 28
  • Obstetrics and Gynecology 9
  • Genetics 33
  • Cell Biology 12
  • Endocrinology, Diabetes and Metabolism 11
  • Rheumatology 9
Replace Yunna Ning with:
Yunna Ning China
K. Radha Mani India
Hongjun Shi China
Xuan Dai China
Moritz Reiterer United Kingdom
Yang Tian China
Hiroaki Obayashi Japan
Roberto Diaz-Marin Canada
Rachel Juneau Canada
Guilherme Silva Julian Brazil
Tabib Dabir relative to Yunna Ning China Yunna Ning's profile →
Citations per field
00.5×4.5×
Yunna Ning · 1×
Citations per year

Countries citing papers authored by Tabib Dabir

Since Specialization
Citations

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

Fields of papers citing papers by Tabib Dabir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202037
2 201922
3 201721
4 200614
5 20086
6 20076
7
Identification and functional analysis of a novel oculocerebrorenal syndrome of Lowe (OCRL) gene variant in two pedigrees with varying phenotypes including isolated congenital cataract.
20184
8
Oxford Desk Reference: Clinical Genetics
20062
9 20232
10 20232
11 20241
12 20091

About Tabib Dabir

Tabib Dabir is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Surgery, having authored 12 papers that have together received 118 indexed citations. Recurring topics across this work include Ocular Disorders and Treatments (2 papers), Congenital Heart Disease Studies (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Genomics and Rare Diseases (1 paper), NF-κB Signaling Pathways (1 paper), Spinal Dysraphism and Malformations (1 paper) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Obstetrics and Gynecology (9 citations), Genetics (33 citations), Cell Biology (12 citations), Endocrinology, Diabetes and Metabolism (11 citations) and Rheumatology (9 citations). Tabib Dabir has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Helen Dolk, Briege M Lagan, Patrick J. Morrison, Joanne Given, Breidge Boyle, Maria Loane, Steven Hunter, Frank Casey, Brian Craig and Brendan Bunting. Their work appears in journals such as Journal of Medical Genetics, Neonatology, European Journal of Human Genetics, PLoS ONE and Familial Cancer.

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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