Nidaa A. Ababneh
- Health top 0.5%
- Vaccine Coverage and Hesitancy 5
- Modeling and Simulation top 1%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 5
- Neurology top 5%
- Genetics top 5%
- Mesenchymal stem cell research 8
- Neurogenetic and Muscular Disorders Research 6
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- Pluripotent Stem Cells Research 7
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 5
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- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Azmi MahafzahMalik SallamFaris G. BakriDeema DababsehAlaa’ YaseenAyat Al-HaidarHuda EidDuaa Taim
- Journals
- PLoS ONE (7 papers)Journal of Medicinal Chemistry (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- JordanUnited StatesSweden
In The Last Decade
Nidaa A. Ababneh
61 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Health 720
- Modeling and Simulation 234
- Infectious Diseases 532
- Neurology 243
- Genetics 163
Countries citing papers authored by Nidaa A. Ababneh
This map shows the geographic impact of Nidaa A. Ababneh'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 Nidaa A. Ababneh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nidaa A. Ababneh more than expected).
Fields of papers citing papers by Nidaa A. Ababneh
This network shows the impact of papers produced by Nidaa A. Ababneh. 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 Nidaa A. Ababneh. The network helps show where Nidaa A. Ababneh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nidaa A. Ababneh, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 49 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 52 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 96 | |
| 15 | 2020 | 7 | |
| 16 | 2017 | 37 | |
| 17 | 2013 | 12 | |
| 18 | 2012 | 9 | |
| 19 | 2012 | 45 | |
| 20 | Methylenetetrahydrofolate Reductase (MTHFR) Genotype Association with the Risk of Chronic Myelogenous Leukemia | 2010 | 9 |
About Nidaa A. Ababneh
Nidaa A. Ababneh is a scholar working on Genetics, Urology and Health, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), Pluripotent Stem Cells Research (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), RNA Interference and Gene Delivery (5 papers), Vaccine Coverage and Hesitancy (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Health (720 citations), Modeling and Simulation (234 citations) and Infectious Diseases (532 citations). Nidaa A. Ababneh has collaborated with scholars based in Jordan, United States and Sweden. Frequent co-authors include Azmi Mahafzah, Malik Sallam, Faris G. Bakri, Deema Dababseh, Alaa’ Yaseen, Ayat Al-Haidar, Huda Eid, Duaa Taim, Kholoud Al-Mahzoum and Jakub Scaber. Their work appears in journals such as PLoS ONE, Journal of Medicinal Chemistry and Human Molecular Genetics.
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.