Ava Faridi

718 citations
15 papers · 614 · h-index 14

Impact in

  • Biomaterials top 10%
    • Supramolecular Self-Assembly in Materials
    • Nanoparticle-Based Drug Delivery
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

    • Alzheimer's disease research and treatments 11
    • Protein Interaction Studies and Fluorescence Analysis 3
    • Protein Structure and Dynamics 2

Ava Faridi

15 papers receiving 610 citations

Peers

Ava Faridi
Comparison fields: 5 of 78
  • Biomaterials 159
  • Physiology 314
  • Biological Psychiatry 10
  • Molecular Biology 253
  • Neurology 29
Replace Yanting Xing with:
Yanting Xing United States
Devkee M. Vadukul United Kingdom
Michal Richman Israel
Ghibom Bhak South Korea
Risto Cukalevski Sweden
Oxana Klementieva Sweden
Hadas Skaat Israel
Pui Shan Chan Hong Kong
Seetha Harilal India
Laura Connelly United States
Ava Faridi relative to Yanting Xing United States Yanting Xing's profile →
Citations per field
00.5×1.7×
Yanting Xing · 1×
Citations per year

Countries citing papers authored by Ava Faridi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ava Faridi Line = papers co-authored together Ava Faridi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019159
2 201860
3 201956
4 201842
5 201841
6 201441
7 201840
8 201939
9 201934
10 201928
11 201822
12 201820
13 202017
14 201914
15 20231

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 614 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Graphene and Nanomaterials Applications (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Protein Structure and Dynamics (2 papers) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Biomaterials (159 citations), Physiology (314 citations), Biological Psychiatry (10 citations), Molecular Biology (253 citations) and Neurology (29 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, Mei Zhao, Yanting Xing, Guotao Peng and Tianyu Yu. Their work appears in journals such as Nano Letters, Biomacromolecules, Nanoscale, Journal of Materials Chemistry B and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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.

Explore authors with similar magnitude of impact