Arman Ai

718 citations
23 papers · 559 · h-index 14

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
    • Hydrogels: synthesis, properties, applications

Papers in

    • Electrospun Nanofibers in Biomedical Applications 6
    • Tissue Engineering and Regenerative Medicine 4

Arman Ai

23 papers receiving 556 citations

Peers

Arman Ai
Comparison fields: 5 of 86
  • Biomaterials 209
  • Molecular Medicine 61
  • Rehabilitation 74
  • Genetics 59
  • Developmental Neuroscience 22
Replace Zahra Jamalpoor with:
Zahra Jamalpoor Iran
Hoda Elkhenany Egypt
Zan Tong China
Mohammad Kazemi Ashtiani Iran
Chuangang Peng China
Mohammad Hossein Geranmayeh Iran
Nanbo Liu China
Ziba Veisi Malekshahi Iran
Nihui Zhang China
Elham Hasanzadeh Iran
Arman Ai relative to Zahra Jamalpoor Iran Zahra Jamalpoor's profile →
Citations per field
00.5×3.1×
Zahra Jamalpoor · 1×
Citations per year

Countries citing papers authored by Arman Ai

Since Specialization
Citations

This map shows the geographic impact of Arman Ai'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 Arman Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arman Ai more than expected).

Fields of papers citing papers by Arman Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arman Ai. 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 Arman Ai. The network helps show where Arman Ai may publish in the future.

Co-authors

The 25 scholars most cited alongside Arman Ai, 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 Arman Ai Line = papers co-authored together Arman Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018132
2 201944
3 202039
4 201638
5 201838
6 201536
7 201834
8 201830
9 201930
10 201722
11 201622
12 202317
13 201716
14 201615
15 201810
16 20208
17 20208
18 20187
19 20234
20 20244

About Arman Ai

Arman Ai is a scholar working on Biomaterials, Surgery, Cellular and Molecular Neuroscience, Cancer Research and Molecular Biology, having authored 23 papers that have together received 559 indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Mesenchymal stem cell research (4 papers), Cancer, Lipids, and Metabolism (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Bone Tissue Engineering Materials (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Wound Healing and Treatments (3 papers). The work is most often cited by research in Biomaterials (209 citations), Molecular Medicine (61 citations), Rehabilitation (74 citations), Genetics (59 citations) and Developmental Neuroscience (22 citations). Arman Ai has collaborated with scholars based in Iran, United States and Czechia. Frequent co-authors include Jafar Ai, Somayeh Ebrahimi‐Barough, Mehdi Khanmohammadi, Abbas Norouzi‐Javidan, Saeed Farzamfar, Hooshang Saberi, Majid Salehi, Sadegh Shirian, Majid Salehi and Javad Verdi. Their work appears in journals such as Molecular Neurobiology, Journal of Applied Polymer Science, Journal of Cellular Biochemistry, Journal of Biomedical Materials Research Part B Applied Biomaterials and Fibers and Polymers.

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.

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