Ashwin Nair
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Bone Tissue Engineering Materials 7
- 3D Printing in Biomedical Research 4
- Nanoplatforms for cancer theranostics 3
- Surgery 8
- Tissue Engineering and Regenerative Medicine 6
- Co-authors
- Liping Tang (24 shared papers)Paul Thevenot (7 shared papers)Jinhui Shen (7 shared papers)Parisa Lotfi (2 shared papers)Jagannath Dey (3 shared papers)Jon Senkowsky (5 shared papers)Jian Yang (3 shared papers)Shuxin Li (4 shared papers)
- Journals
- Advances in Wound Care (3 papers)Biomaterials (3 papers)Tissue Engineering Part C Methods (2 papers)Journal of Biomedical Nanotechnology (2 papers)Acta Biomaterialia (2 papers)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Ashwin Nair
29 papers receiving 949 citations
Peers
Comparison fields: 5 of 106
- Rehabilitation 158
- Biomaterials 287
- Genetics 143
- Urology 70
- Biomedical Engineering 400
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 232 | |
| 2 | 2008 | 147 | |
| 3 | 2020 | 106 | |
| 4 | 2020 | 57 | |
| 5 | 2013 | 46 | |
| 6 | 2008 | 41 | |
| 7 | 2009 | 39 | |
| 8 | 2011 | 37 | |
| 9 | 2017 | 35 | |
| 10 | 2013 | 29 | |
| 11 | 2011 | 27 | |
| 12 | 2014 | 25 | |
| 13 | 2019 | 21 | |
| 14 | 2008 | 21 | |
| 15 | 2012 | 19 | |
| 16 | 2008 | 19 | |
| 17 | 2011 | 15 | |
| 18 | 2014 | 11 | |
| 19 | 2008 | 8 | |
| 20 | 2008 | 4 |
About Ashwin Nair
Ashwin Nair is a scholar working on Biomedical Engineering, Surgery, Rehabilitation, Oncology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 964 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Diabetic Foot Ulcer Assessment and Management (5 papers), Wound Healing and Treatments (5 papers), Cancer Cells and Metastasis (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), 3D Printing in Biomedical Research (4 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Rehabilitation (158 citations), Biomaterials (287 citations), Genetics (143 citations), Urology (70 citations) and Biomedical Engineering (400 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, Jagannath Dey, Jon Senkowsky, Jian Yang, Shuxin Li, Paul J. Renick and Jun Zhou. Their work appears in journals such as Advances in Wound Care, Biomaterials, Tissue Engineering Part C Methods, Journal of Biomedical Nanotechnology and Acta Biomaterialia.
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.