Arman Saparov
Impact in
- Rehabilitation top 0.5%
- Wound Healing and Treatments
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Genetics 11
- Mesenchymal stem cell research 11
-
- Wound Healing and Treatments 6
- Co-authors
- Zharylkasyn ZharkinbekovYevgeniy KimKamila RaziyevaShiro JimiDmitriy BerilloVyacheslav OgayAyan NurkeshChien‐Wen Chen
- Journals
- International Journal of Molecular Sciences (6 papers)Pharmaceutics (3 papers)Biomolecules (2 papers)Journal of Visualized Experiments (2 papers)Inflammation Research (1 paper)
- Partner nations
- KazakhstanUnited StatesJapan
In The Last Decade
Arman Saparov
40 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Rehabilitation 601
- Biomaterials 672
- Genetics 423
- Molecular Medicine 128
- Occupational Therapy 83
Countries citing papers authored by Arman Saparov
This map shows the geographic impact of Arman Saparov'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 Saparov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arman Saparov more than expected).
Fields of papers citing papers by Arman Saparov
This network shows the impact of papers produced by Arman Saparov. 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 Saparov. The network helps show where Arman Saparov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arman Saparov, 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 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | Chitosan-Based Biomaterials for Tissue Regeneration Hit paper breakdown → | 2023 | 137 |
| 4 | 2022 | 64 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 67 | |
| 9 | 2019 | 36 | |
| 10 | 2017 | 60 | |
| 11 | 2016 | 133 | |
| 12 | 2013 | 1 | |
| 13 | 2007 | 52 | |
| 14 | 2003 | 43 | |
| 15 | 2001 | 37 | |
| 16 | 2000 | 1 | |
| 17 | 1999 | 29 | |
| 18 | 1999 | 92 | |
| 19 | 1998 | 19 | |
| 20 | 1997 | 23 |
About Arman Saparov
Arman Saparov is a scholar working on Genetics, Rehabilitation, Biomaterials, Immunology and Molecular Medicine, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (13 papers), Mesenchymal stem cell research (11 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Wound Healing and Treatments (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Cardiac Fibrosis and Remodeling (5 papers) and Silk-based biomaterials and applications (4 papers). The work is most often cited by research in Rehabilitation (601 citations), Biomaterials (672 citations), Genetics (423 citations), Molecular Medicine (128 citations) and Occupational Therapy (83 citations). Arman Saparov has collaborated with scholars based in Kazakhstan, United States and Japan. Frequent co-authors include Zharylkasyn Zharkinbekov, Yevgeniy Kim, Kamila Raziyeva, Shiro Jimi, Dmitriy Berillo, Vyacheslav Ogay, Ayan Nurkesh, Chien‐Wen Chen, Bolat Sultankulov and Tursonjan Tokay. Their work appears in journals such as International Journal of Molecular Sciences, Pharmaceutics, Biomolecules, Journal of Visualized Experiments and Inflammation Research.
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.