Manar Ata

1.1k total citations
11 papers, 110 citations indexed

About

Manar Ata is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Manar Ata has authored 11 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Immunology. Recurrent topics in Manar Ata's work include Thyroid Cancer Diagnosis and Treatment (4 papers), Bioinformatics and Genomic Networks (2 papers) and vaccines and immunoinformatics approaches (1 paper). Manar Ata is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (4 papers), Bioinformatics and Genomic Networks (2 papers) and vaccines and immunoinformatics approaches (1 paper). Manar Ata collaborates with scholars based in Saudi Arabia, Qatar and United States. Manar Ata's co-authors include Jaudah Al‐Maghrabi, Hans-Juergen Schulten, Sajjad Karim, Mamdooh Gari, Abdelbaset Buhmeida, Adeel Chaudhary, Adel Abuzenadah, Karí Syrjänen, Ashraf Dallol and Adnan Merdad and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Genomics.

In The Last Decade

Manar Ata

9 papers receiving 107 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manar Ata Saudi Arabia 4 62 33 26 14 14 11 110
Jennifer Phun United States 3 102 1.6× 8 0.2× 20 0.8× 11 0.8× 11 0.8× 4 187
Patricia Stiedl Austria 6 64 1.0× 10 0.3× 8 0.3× 7 0.5× 17 1.2× 8 125
Jurijs Nazarovs Latvia 7 34 0.5× 32 1.0× 15 0.6× 13 0.9× 57 4.1× 17 110
Nooshin Ghodsian Canada 7 82 1.3× 19 0.6× 19 0.7× 8 0.6× 34 2.4× 16 168
Gerardo Heiss United States 3 23 0.4× 14 0.4× 10 0.4× 5 0.4× 25 1.8× 7 73
Alex Matsuda Poland 8 77 1.2× 8 0.2× 15 0.6× 26 1.9× 8 0.6× 10 148
Marine A. Oudot France 3 58 0.9× 14 0.4× 55 2.1× 5 0.4× 4 0.3× 5 128
Einav Simon Israel 9 59 1.0× 21 0.6× 28 1.1× 3 0.2× 13 0.9× 16 141
Saket Agarwal United States 6 114 1.8× 24 0.7× 21 0.8× 3 0.2× 14 1.0× 11 175
Shatakshee Chatterjee India 5 45 0.7× 5 0.2× 23 0.9× 12 0.9× 17 1.2× 7 94

Countries citing papers authored by Manar Ata

Since Specialization
Citations

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

Fields of papers citing papers by Manar Ata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manar Ata

This figure shows the co-authorship network connecting the top 25 collaborators of Manar Ata. A scholar is included among the top collaborators of Manar Ata 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 Manar Ata. Manar Ata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Adeli, Mehdi, Dinesh Velayutham, Salim Bougarn, et al.. (2025). A novel CARD11 heterozygous missense variant in a CADINS patient. Journal of Allergy and Clinical Immunology Global. 4(2). 100461–100461.
2.
Khan, Taushif, I. Ledoux, Fatima Al Ali, et al.. (2023). Associations between HLA class II alleles and IgE sensitization to allergens in the Qatar Biobank cohort. SHILAP Revista de lepidopterología. 2(3). 100117–100117. 3 indexed citations
3.
Chouchane, Lotfi, Jean‐Charles Grivel, Elmoubasher Farag, et al.. (2021). Dromedary camels as a natural source of neutralizing nanobodies against SARS-CoV-2. JCI Insight. 6(5). 15 indexed citations
4.
Schulten, Hans-Juergen, Sajjad Karim, Sherin Bakhashab, et al.. (2020). Genetic relationship between Hashimoto`s thyroiditis and papillary thyroid carcinoma with coexisting Hashimoto`s thyroiditis. PLoS ONE. 15(6). e0234566–e0234566. 33 indexed citations
5.
Schulten, Hans-Juergen, Manar Ata, Sajjad Karim, et al.. (2015). Effect of BRAFmutational status on expression profiles in conventional papillary thyroid carcinomas. BMC Genomics. 16(S1). 18 indexed citations
6.
Abulnaja, Khalid O., et al.. (2014). Investigation of the genetic causes of non-syndromic hearing loss in the Western region of Saudi Arabia. BMC Genomics. 15(S2). 1 indexed citations
7.
Ata, Manar, Sajjad Karim, Etimad Huwait, et al.. (2014). High-density microarray expression profiling in conventional papillary thyroid carcinomas with versus without a BRAF mutation. BMC Genomics. 15(S2). 2 indexed citations
8.
Merdad, Adnan, Sajjad Karim, Hans-Juergen Schulten, et al.. (2014). Gene expression profiling of lymph node positive-negative metastasis of primary breast cancer in Saudi Arabian patients. BMC Genomics. 15(S2). 1 indexed citations
9.
Ata, Manar, et al.. (2014). Nodular goiter and hyperplastic lesion of the thyroid share common deregulated expression profiles. BMC Genomics. 15(S2). 1 indexed citations
10.
Buhmeida, Abdelbaset, Adnan Merdad, Jaudah Al‐Maghrabi, et al.. (2011). RASSF1A methylation is predictive of poor prognosis in female breast cancer in a background of overall low methylation frequency.. PubMed. 31(9). 2975–81. 33 indexed citations
11.
Ata, Manar & Frank Sullivan. (1977). Effect of prenatal phenytoin treatment on postnatal development [proceedings].. PubMed. 59(3). 494P–494P. 3 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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