Dnyaneshwar Kalyane
- Biomedical Engineering top 5%
- Molecular Biology
- Biomaterials top 2%
- Computational Theory and Mathematics top 1%
- Materials Chemistry
- Co-authors
- Rakesh Kumar TekadeKiran KaliaNidhi RavalRahul MaheshwariVishakha TambeSuryanarayana PolakaKuldeep RajpootNeelima Anup
- Topics
- Nanoplatforms for cancer theranostics (9 papers)Nanoparticle-Based Drug Delivery (7 papers)Photodynamic Therapy Research Studies (3 papers)
- Partner nations
- IndiaJordanUnited States
In The Last Decade
Dnyaneshwar Kalyane
20 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Biomedical Engineering 634
- Molecular Biology 627
- Biomaterials 475
- Computational Theory and Mathematics 356
- Materials Chemistry 335
Countries citing papers authored by Dnyaneshwar Kalyane
This map shows the geographic impact of Dnyaneshwar Kalyane'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 Dnyaneshwar Kalyane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dnyaneshwar Kalyane more than expected).
Fields of papers citing papers by Dnyaneshwar Kalyane
This network shows the impact of papers produced by Dnyaneshwar Kalyane. 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 Dnyaneshwar Kalyane. The network helps show where Dnyaneshwar Kalyane may publish in the future.
Co-authorship network of co-authors of Dnyaneshwar Kalyane
This figure shows the co-authorship network connecting the top 25 collaborators of Dnyaneshwar Kalyane. A scholar is included among the top collaborators of Dnyaneshwar Kalyane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dnyaneshwar Kalyane. Dnyaneshwar Kalyane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 26 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 45 | |
| 9 | 17 | |
| 10 | 27 | |
| 11 | 32 | |
| 12 | 38 | |
| 13 | 5 | |
| 14 | 39 | |
| 15 | 10 | |
| 16 | 20 | |
| 17 | 34 | |
| 18 | Artificial intelligence in drug discovery and developmentbreakdown → | 850 |
| 19 | Employment of enhanced permeability and retention effect (EPR): Nanoparticle-based precision tools for targeting of therapeutic and diagnostic agent in cancerbreakdown → | 676 |
| 20 | 7 |
About Dnyaneshwar Kalyane
Dnyaneshwar Kalyane is a scholar working on Health Informatics, Biomaterials and Pharmaceutical Science, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (9 papers), Nanoparticle-Based Drug Delivery (7 papers) and Photodynamic Therapy Research Studies (3 papers). The work is most often cited by research in Health Informatics (154 citations), Biomaterials (475 citations) and Computational Theory and Mathematics (356 citations). Dnyaneshwar Kalyane has collaborated with scholars based in India, Jordan and United States. Frequent co-authors include Rakesh Kumar Tekade, Kiran Kalia, Nidhi Raval, Rahul Maheshwari, Vishakha Tambe, Suryanarayana Polaka, Kuldeep Rajpoot, Neelima Anup, Katharigatta N. Venugopala and Pinaki Sengupta. Their work appears in journals such as Progress in Materials Science, International Journal of Pharmaceutics and Drug Discovery Today.
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.