Manar Ata
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
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- Bioinformatics and Genomic Networks 2
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
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- Thyroid Cancer Diagnosis and Treatment 4
- Co-authors
- Hans-Juergen Schulten (5 shared papers)Sajjad Karim (5 shared papers)Mamdooh Gari (4 shared papers)Jaudah Al‐Maghrabi (4 shared papers)Abdelbaset Buhmeida (2 shared papers)Adel Abuzenadah (2 shared papers)Karí Syrjänen (1 shared paper)Ashraf Dallol (3 shared papers)
- Journals
- BMC Genomics (5 papers)PLoS ONE (1 paper)JCI Insight (1 paper)PubMed (2 papers)Journal of Allergy and Clinical Immunology Global (2 papers)
- Partner nations
- Saudi ArabiaUnited StatesQatar
In The Last Decade
Manar Ata
9 papers receiving 111 citations
Peers
Comparison fields: 5 of 42
- Endocrinology, Diabetes and Metabolism 34
- Cancer Research 23
- Molecular Biology 58
- Infectious Diseases 14
- Immunology 11
Countries citing papers authored by Manar Ata
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
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-authors
The 25 scholars most cited alongside Manar Ata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 37 | |
| 2 | RASSF1A methylation is predictive of poor prognosis in female breast cancer in a background of overall low methylation frequency. | 2011 | 33 |
| 3 | 2015 | 19 | |
| 4 | 2021 | 15 | |
| 5 | 2023 | 3 | |
| 6 | Effect of prenatal phenytoin treatment on postnatal development [proceedings]. | 1977 | 3 |
| 7 | 2014 | 2 | |
| 8 | 2014 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2025 | 0 |
About Manar Ata
Manar Ata is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology, Cancer Research and Infectious Diseases, having authored 11 papers that have together received 115 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Bioinformatics and Genomic Networks (2 papers), Epigenetics and DNA Methylation (1 paper), NF-κB Signaling Pathways (1 paper), Gene expression and cancer classification (1 paper), Immunotherapy and Immune Responses (1 paper), Cancer Genomics and Diagnostics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (34 citations), Cancer Research (23 citations), Molecular Biology (58 citations), Infectious Diseases (14 citations) and Immunology (11 citations). Manar Ata has collaborated with scholars based in Saudi Arabia, United States and Qatar. Frequent co-authors include Hans-Juergen Schulten, Sajjad Karim, Mamdooh Gari, Jaudah Al‐Maghrabi, Abdelbaset Buhmeida, Adel Abuzenadah, Karí Syrjänen, Ashraf Dallol, Adeel Chaudhary and Adnan Merdad. Their work appears in journals such as BMC Genomics, PLoS ONE, JCI Insight, PubMed and Journal of Allergy and Clinical Immunology Global.
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.