Ashwin Nair
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Bone Tissue Engineering Materials 8
- 3D Printing in Biomedical Research 4
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- Wound Healing and Treatments 4
- Co-authors
- Liping Tang (26 shared papers)Paul Thevenot (8 shared papers)Jinhui Shen (7 shared papers)Parisa Lotfi (2 shared papers)Jon Senkowsky (5 shared papers)Shuxin Li (4 shared papers)Jagannath Dey (3 shared papers)Jian Hai Yang (3 shared papers)
- Journals
- Biomaterials (3 papers)Advances in Wound Care (3 papers)Acta Biomaterialia (2 papers)Tissue Engineering Part C Methods (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Ashwin Nair
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Rehabilitation 170
- Biomaterials 303
- Genetics 129
- Urology 70
- Biomedical Engineering 443
Countries citing papers authored by Ashwin Nair
This map shows the geographic impact of Ashwin Nair'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 Ashwin Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Nair more than expected).
Fields of papers citing papers by Ashwin Nair
This network shows the impact of papers produced by Ashwin Nair. 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 Ashwin Nair. The network helps show where Ashwin Nair may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Nair, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 247 | |
| 2 | 2008 | 153 | |
| 3 | 2020 | 139 | |
| 4 | 2020 | 70 | |
| 5 | 2009 | 46 | |
| 6 | 2013 | 46 | |
| 7 | 2008 | 45 | |
| 8 | 2011 | 41 | |
| 9 | 2017 | 40 | |
| 10 | 2013 | 30 | |
| 11 | 2011 | 29 | |
| 12 | 2014 | 28 | |
| 13 | 2008 | 24 | |
| 14 | 2008 | 23 | |
| 15 | 2012 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2011 | 16 | |
| 18 | 2014 | 12 | |
| 19 | 2008 | 8 | |
| 20 | 2020 | 7 |
About Ashwin Nair
Ashwin Nair is a scholar working on Biomedical Engineering, Rehabilitation, Surgery, Biomaterials and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (8 papers), Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), 3D Printing in Biomedical Research (4 papers), Cancer Cells and Metastasis (4 papers), Wound Healing and Treatments (4 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Rehabilitation (170 citations), Biomaterials (303 citations), Genetics (129 citations), Urology (70 citations) and Biomedical Engineering (443 citations). Ashwin Nair has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Liping Tang, Paul Thevenot, Jinhui Shen, Parisa Lotfi, Jon Senkowsky, Shuxin Li, Jagannath Dey, Jian Hai Yang, Paul J. Renick and Yi‐Ting Tsai. Their work appears in journals such as Biomaterials, Advances in Wound Care, Acta Biomaterialia, Tissue Engineering Part C Methods and PLoS ONE.
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.