Asma I. Tahir

784 total citations
19 papers, 294 citations indexed

About

Asma I. Tahir is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Asma I. Tahir has authored 19 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Asma I. Tahir's work include Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Asma I. Tahir is often cited by papers focused on Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Asma I. Tahir collaborates with scholars based in Saudi Arabia, Pakistan and Australia. Asma I. Tahir's co-authors include Nada Al Tassan, Editha Andres, Nduna Dzimiri, Maie Alshahid, Jameela Shinwari, Brian F. Meyer, Bashayer Al‐Mubarak, Salma M. Wakil, Batoul Baz and Mohamed Abouelhoda and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Human Genetics.

In The Last Decade

Asma I. Tahir

18 papers receiving 290 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Asma I. Tahir Saudi Arabia 11 129 90 40 34 28 19 294
Marcello Scala Italy 15 207 1.6× 178 2.0× 25 0.6× 88 2.6× 21 0.8× 61 513
Mefford Hc 6 163 1.3× 90 1.0× 10 0.3× 24 0.7× 19 0.7× 239 337
Adam Mp 6 180 1.4× 113 1.3× 10 0.3× 30 0.9× 19 0.7× 286 388
Bean Ljh 6 180 1.4× 113 1.3× 10 0.3× 29 0.9× 19 0.7× 285 386
Bird Td United States 6 162 1.3× 90 1.0× 9 0.2× 25 0.7× 19 0.7× 244 342
Ardinger Hh United States 6 192 1.5× 124 1.4× 10 0.3× 30 0.9× 19 0.7× 287 402
A Amemiya Japan 6 173 1.3× 104 1.2× 9 0.2× 29 0.9× 23 0.8× 269 377
Valeria Cinquina Italy 11 112 0.9× 193 2.1× 24 0.6× 10 0.3× 18 0.6× 22 388
Ariane Sadr‐Nabavi Iran 10 119 0.9× 68 0.8× 15 0.4× 15 0.4× 43 1.5× 38 323
Mónica Cozar Spain 12 113 0.9× 41 0.5× 15 0.4× 89 2.6× 7 0.3× 24 369

Countries citing papers authored by Asma I. Tahir

Since Specialization
Citations

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

Fields of papers citing papers by Asma I. Tahir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asma I. Tahir. 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 Asma I. Tahir. The network helps show where Asma I. Tahir may publish in the future.

Co-authorship network of co-authors of Asma I. Tahir

This figure shows the co-authorship network connecting the top 25 collaborators of Asma I. Tahir. A scholar is included among the top collaborators of Asma I. Tahir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Asma I. Tahir. Asma I. Tahir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Ahmed, Sophia, et al.. (2025). Clinical Efficacy of Percutaneous Microwave Ablation in Treating Uterine Fibroids: A Comprehensive Systematic Review and Meta-Analysis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 310. 113954–113954.
2.
Goljan, Ewa, et al.. (2024). Large-scale next generation sequencing based analysis of SLCO1B1 pharmacogenetics variants in the Saudi population. Human Genomics. 18(1). 30–30. 2 indexed citations
3.
4.
Alghamdi, Malak, et al.. (2020). Expanding the phenotype and the genotype of Stromme syndrome: A novel variant of the CENPF gene and literature review. European Journal of Medical Genetics. 63(5). 103844–103844. 10 indexed citations
5.
Afzal, Sibtain, Khushnooda Ramzan, Anhar Ullah, et al.. (2020). Thymic Stromal Lymphopoietin (TSLP) gene variant rs1837253 is significantly associated with Asthma prevalence in Pakistani Pashtun women.. Pakistan Journal of Pharmaceutical Sciences. 33(6(Supplementary)). 2729–2737. 3 indexed citations
6.
Faquih, Tariq, Batoul Baz, Rana F Kattan, et al.. (2018). Validation of Ion TorrentTM Inherited Disease Panel with the PGMTM Sequencing Platform for Rapid and Comprehensive Mutation Detection. Genes. 9(5). 267–267. 8 indexed citations
7.
Al‐Mubarak, Bashayer, Mohamed Abouelhoda, Hesham Aldhalaan, et al.. (2017). Whole exome sequencing reveals inherited and de novo variants in autism spectrum disorder: a trio study from Saudi families. Scientific Reports. 7(1). 5679–5679. 66 indexed citations
8.
Imtiaz, Faiqa, Khushnooda Ramzan, Nada Al Tassan, et al.. (2017). Twenty novel mutations in BCKDHA, BCKDHB and DBT genes in a cohort of 52 Saudi Arabian patients with maple syrup urine disease. Molecular Genetics and Metabolism Reports. 11. 17–23. 17 indexed citations
9.
Bohlega, Saeed, Bashayer Al‐Mubarak, Mohamed Abouelhoda, et al.. (2016). Clinical heterogeneity of PLA2G6-related Parkinsonism: analysis of two Saudi families. BMC Research Notes. 9(1). 295–295. 17 indexed citations
10.
Al‐Mubarak, Bashayer, Saeed Bohlega, Thamer Alkhairallah, et al.. (2015). Parkinson’s Disease in Saudi Patients: A Genetic Study. PLoS ONE. 10(8). e0135950–e0135950. 22 indexed citations
11.
Wakil, Salma M., Editha Andres, Batoul Baz, et al.. (2015). The Affymetrix DMET Plus Platform Reveals Unique Distribution of ADME-Related Variants in Ethnic Arabs. Disease Markers. 2015. 1–8. 9 indexed citations
12.
Shinwari, Jameela, Arif O. Khan, Salma Awad, et al.. (2014). Recessive Mutations in COL25A1 Are a Cause of Congenital Cranial Dysinnervation Disorder. The American Journal of Human Genetics. 96(1). 147–152. 30 indexed citations
13.
Wakil, Salma M., Asma I. Tahir, Batoul Baz, et al.. (2014). A study of the role of GATA2 gene polymorphism in coronary artery disease risk traits. Gene. 544(2). 152–158. 33 indexed citations
14.
Ramzan, Khushnooda, Asma I. Tahir, Nada Al Tassan, et al.. (2014). ILDR1: Novel mutation and a rare cause of congenital deafness in the Saudi Arabian population. European Journal of Medical Genetics. 57(6). 253–258. 18 indexed citations
15.
Wakil, Salma M., Asma I. Tahir, Batoul Baz, et al.. (2014). A New Susceptibility Locus for Myocardial Infarction, Hypertension, Type 2 Diabetes Mellitus, and Dyslipidemia on Chromosome 12q24. Disease Markers. 2014. 1–10. 17 indexed citations
16.
Tahir, Asma I., Editha Andres, Nejat Mazhar, et al.. (2013). The 3′-UTR of the adiponectin Q gene harbours susceptibility loci for atherosclerosis and its metabolic risk traits. BMC Medical Genetics. 14(1). 127–127. 6 indexed citations
17.
Tahir, Asma I., Editha Andres, Nejat Mazhar, et al.. (2013). Association of the angiotensinogen gene polymorphism with atherosclerosis and its risk traits in the Saudi population. BMC Cardiovascular Disorders. 13(1). 17–17. 23 indexed citations
18.
Wakil, Salma M., Asma I. Tahir, Nada Al Tassan, et al.. (2013). A study of the role of GATA4 polymorphism in cardiovascular metabolic disorders. Human Genomics. 7(1). 11 indexed citations
19.
Shinwari, Jameela, Tahani Alshehri, Asma I. Tahir, et al.. (2013). Variable <i>β</i>-globin haplotypes in Saudi <i>β</i> thalassemia population. 3(3). 171–173. 1 indexed citations

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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