Nadia Ayat
Impact in
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- Cancer-related molecular mechanisms research
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- Nanoparticle-Based Drug Delivery
Papers in
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- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 5
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- MRI in cancer diagnosis 4
- Advanced MRI Techniques and Applications 4
- Co-authors
- Zheng‐Rong Lu (16 shared papers)Amita Vaidya (8 shared papers)Zhanhu Sun (5 shared papers)Ryan Hall (6 shared papers)Da Sun (4 shared papers)Hannah Gilmore (3 shared papers)Amy M. Wen (2 shared papers)Sourabh Shukla (2 shared papers)
- Journals
- Bioconjugate Chemistry (2 papers)Biomacromolecules (2 papers)Frontiers in Oncology (2 papers)Investigative Radiology (1 paper)Contrast Media & Molecular Imaging (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Nadia Ayat
19 papers receiving 578 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 120
- Biomaterials 84
- Biotechnology 44
- Immunology and Allergy 26
- Molecular Biology 295
Countries citing papers authored by Nadia Ayat
This map shows the geographic impact of Nadia Ayat'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 Nadia Ayat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Ayat more than expected).
Fields of papers citing papers by Nadia Ayat
This network shows the impact of papers produced by Nadia Ayat. 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 Nadia Ayat. The network helps show where Nadia Ayat may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Ayat, 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 | 2019 | 146 | |
| 2 | 2015 | 79 | |
| 3 | 2013 | 62 | |
| 4 | 2018 | 43 | |
| 5 | 2020 | 29 | |
| 6 | 2019 | 26 | |
| 7 | 2021 | 25 | |
| 8 | 2018 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2022 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2016 | 15 | |
| 14 | 2022 | 13 | |
| 15 | 2015 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2017 | 1 |
About Nadia Ayat
Nadia Ayat is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Biomaterials and Ecology, having authored 19 papers that have together received 578 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), MRI in cancer diagnosis (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Advanced MRI Techniques and Applications (4 papers), Lanthanide and Transition Metal Complexes (4 papers), MicroRNA in disease regulation (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Cancer Research (120 citations), Biomaterials (84 citations), Biotechnology (44 citations), Immunology and Allergy (26 citations) and Molecular Biology (295 citations). Nadia Ayat has collaborated with scholars based in United States and Germany. Frequent co-authors include Zheng‐Rong Lu, Amita Vaidya, Zhanhu Sun, Ryan Hall, Da Sun, Hannah Gilmore, Amy M. Wen, Sourabh Shukla, Ulrich Commandeur and Nicole F. Steinmetz. Their work appears in journals such as Bioconjugate Chemistry, Biomacromolecules, Frontiers in Oncology, Investigative Radiology and Contrast Media & Molecular Imaging.
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.