Ashwin A. Bhirde
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Electrochemistry top 5%
Papers in
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- Nanoparticle-Based Drug Delivery 2
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- Neuroscience and Neural Engineering 2
- Co-authors
- James F. Rusling (8 shared papers)Vyomesh Patel (6 shared papers)Jorge Silvio Gutkind (7 shared papers)Richard D. Leapman (3 shared papers)Alioscka A. Sousa (3 shared papers)Julie Gavard (1 shared paper)Roberto Weigert (1 shared paper)Andrius Masedunskas (1 shared paper)
- Journals
- Nanomedicine (2 papers)Journal of the American Chemical Society (1 paper)Analytical Chemistry (1 paper)Pharmaceutics (1 paper)Journal of Nanoscience and Nanotechnology (1 paper)
- Partner nations
- United StatesIreland
In The Last Decade
Ashwin A. Bhirde
8 papers receiving 1.7k citations
Ashwin A. Bhirde's Hit Papers
Peers
Comparison fields: 5 of 89
- Biomaterials 343
- Electrochemistry 156
- Biomedical Engineering 1.0k
- Materials Chemistry 714
- Molecular Biology 790
Countries citing papers authored by Ashwin A. Bhirde
This map shows the geographic impact of Ashwin A. Bhirde'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 A. Bhirde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin A. Bhirde more than expected).
Fields of papers citing papers by Ashwin A. Bhirde
This network shows the impact of papers produced by Ashwin A. Bhirde. 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 A. Bhirde. The network helps show where Ashwin A. Bhirde may publish in the future.
Co-authors
The 22 scholars most cited alongside Ashwin A. Bhirde, 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 | Targeted Killing of Cancer Cellsin Vivoandin Vitrowith EGF-Directed Carbon Nanotube-Based Drug Delivery Hit paper breakdown → | 2009 | 742 |
| 2 | Carbon Nanotube Amplification Strategies for Highly Sensitive Immunodetection of Cancer Biomarkers Hit paper breakdown → | 2006 | 621 |
| 3 | 2010 | 154 | |
| 4 | 2009 | 136 | |
| 5 | 2011 | 40 | |
| 6 | 2009 | 33 | |
| 7 | 2009 | 26 | |
| 8 | 2006 | 2 |
About Ashwin A. Bhirde
Ashwin A. Bhirde is a scholar working on Biomaterials, Cellular and Molecular Neuroscience, Molecular Biology, Biomedical Engineering and Materials Chemistry, having authored 8 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Advanced Biosensing Techniques and Applications (4 papers), Nanoparticle-Based Drug Delivery (2 papers), Neuroscience and Neural Engineering (2 papers), Biosensors and Analytical Detection (2 papers), Carbon Nanotubes in Composites (1 paper), Graphene and Nanomaterials Applications (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Biomaterials (343 citations), Electrochemistry (156 citations), Biomedical Engineering (1.0k citations), Materials Chemistry (714 citations) and Molecular Biology (790 citations). Ashwin A. Bhirde has collaborated with scholars based in United States and Ireland. Frequent co-authors include James F. Rusling, Vyomesh Patel, Jorge Silvio Gutkind, Richard D. Leapman, Alioscka A. Sousa, Julie Gavard, Roberto Weigert, Andrius Masedunskas, Guofeng Zhang and Fotios Papadimitrakopoulos. Their work appears in journals such as Nanomedicine, Journal of the American Chemical Society, Analytical Chemistry, Pharmaceutics and Journal of Nanoscience and Nanotechnology.
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.