Chandra M. Valmikinathan
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications 10
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications 2
- Biomedical Engineering top 10%
- Graphene and Nanomaterials Applications 3
- 3D Printing in Biomedical Research 3
- Bone Tissue Engineering Materials 2
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- Nerve injury and regeneration 9
- Surfaces, Coatings and Films top 10%
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- Tissue Engineering and Regenerative Medicine 4
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- Neurogenesis and neuroplasticity mechanisms 2
- Co-authors
- Xiaojun YuRavi V. BellamkondaVivek MukhatyarAnjana JainJunping WangLohitash KarumbaiahS. Balakrishna PaiMadhuri Dasari
- Journals
- Biomaterials (1 paper)Materials Science and Engineering C (1 paper)Journal of Applied Polymer Science (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Chandra M. Valmikinathan
14 papers receiving 697 citations
Peers
Comparison fields: 5 of 74
- Biomaterials 416
- Molecular Medicine 83
- Biomedical Engineering 365
- Cellular and Molecular Neuroscience 146
- Surfaces, Coatings and Films 43
Countries citing papers authored by Chandra M. Valmikinathan
This map shows the geographic impact of Chandra M. Valmikinathan'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 Chandra M. Valmikinathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandra M. Valmikinathan more than expected).
Fields of papers citing papers by Chandra M. Valmikinathan
This network shows the impact of papers produced by Chandra M. Valmikinathan. 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 Chandra M. Valmikinathan. The network helps show where Chandra M. Valmikinathan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chandra M. Valmikinathan, 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 | 2016 | 22 | |
| 2 | 2015 | 67 | |
| 3 | 2014 | 114 | |
| 4 | 2013 | 40 | |
| 5 | 2013 | 41 | |
| 6 | 2012 | 10 | |
| 7 | 2011 | 108 | |
| 8 | 2011 | 22 | |
| 9 | 2010 | 42 | |
| 10 | 2009 | 82 | |
| 11 | 2009 | 15 | |
| 12 | 2009 | 109 | |
| 13 | 2009 | 10 | |
| 14 | 2008 | 24 |
About Chandra M. Valmikinathan
Chandra M. Valmikinathan is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 14 papers that have together received 706 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (10 papers), Nerve injury and regeneration (9 papers), Tissue Engineering and Regenerative Medicine (4 papers), Graphene and Nanomaterials Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Hydrogels: synthesis, properties, applications (2 papers), Bone Tissue Engineering Materials (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Biomaterials (416 citations), Molecular Medicine (83 citations) and Biomedical Engineering (365 citations). Chandra M. Valmikinathan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Xiaojun Yu, Ravi V. Bellamkonda, Xiaojun Yu, Vivek Mukhatyar, Anjana Jain, Junping Wang, Lohitash Karumbaiah, S. Balakrishna Pai, Madhuri Dasari and Cato T. Laurencin. Their work appears in journals such as Biomaterials, Materials Science and Engineering C, Journal of Applied Polymer Science, Journal of Materials Chemistry B and Soft Matter.
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.