Ava Faridi
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
Papers in
- Physiology 11
- Alzheimer's disease research and treatments 11
-
- Protein Interaction Studies and Fluorescence Analysis 3
- Protein Structure and Dynamics 2
- Co-authors
- Pu Chun Ke (13 shared papers)Aleksandr Käkinen (12 shared papers)Thomas P. Davis (12 shared papers)Ibrahim Javed (10 shared papers)Feng Ding (8 shared papers)Sijie Lin (4 shared papers)Guotao Peng (3 shared papers)Mei Zhao (3 shared papers)
- Journals
- Nano Letters (3 papers)Biomacromolecules (2 papers)ACS Nano (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Ava Faridi
15 papers receiving 632 citations
Peers
Comparison fields: 5 of 78
- Physiology 313
- Biomaterials 158
- Biological Psychiatry 10
- Neurology 31
- Molecular Biology 258
Countries citing papers authored by Ava Faridi
This map shows the geographic impact of Ava Faridi'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 Ava Faridi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ava Faridi more than expected).
Fields of papers citing papers by Ava Faridi
This network shows the impact of papers produced by Ava Faridi. 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 Ava Faridi. The network helps show where Ava Faridi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ava Faridi, 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 | 164 | |
| 2 | 2018 | 62 | |
| 3 | 2019 | 58 | |
| 4 | 2014 | 44 | |
| 5 | 2018 | 42 | |
| 6 | 2018 | 42 | |
| 7 | 2018 | 41 | |
| 8 | 2019 | 39 | |
| 9 | 2019 | 38 | |
| 10 | 2019 | 28 | |
| 11 | 2018 | 23 | |
| 12 | 2018 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 15 | |
| 15 | 2023 | 1 |
About Ava Faridi
Ava Faridi is a scholar working on Physiology, Molecular Biology, Biomaterials, Biomedical Engineering and Oncology, having authored 15 papers that have together received 636 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Graphene and Nanomaterials Applications (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Protein Structure and Dynamics (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (1 paper). The work is most often cited by research in Physiology (313 citations), Biomaterials (158 citations), Biological Psychiatry (10 citations), Neurology (31 citations) and Molecular Biology (258 citations). Ava Faridi has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Pu Chun Ke, Aleksandr Käkinen, Thomas P. Davis, Ibrahim Javed, Feng Ding, Sijie Lin, Guotao Peng, Mei Zhao, Yanting Xing and Tianyu Yu. Their work appears in journals such as Nano Letters, Biomacromolecules, ACS Nano, Biochimica et Biophysica Acta (BBA) - Biomembranes and ACS Applied Materials & Interfaces.
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.