Deep Bhattacharya
Impact in
-
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
-
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Protein purification and stability 3
- Glycosylation and Glycoproteins Research 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Aaron M. Mohs (4 shared papers)Denis Svechkarev (3 shared papers)Margaret Taylor (1 shared paper)Amarnath Natarajan (1 shared paper)Joshua J. Souchek (1 shared paper)Tanner K. Hill (1 shared paper)Michael A. Hollingsworth (1 shared paper)Aneesha Dasgupta (1 shared paper)
- Journals
- Journal of Pharmaceutical Sciences (2 papers)PLoS Pathogens (1 paper)Pharmaceutical Research (1 paper)Journal of Materials Chemistry B (1 paper)ACS Biomaterials Science & Engineering (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Deep Bhattacharya
10 papers receiving 293 citations
Peers
Comparison fields: 5 of 81
- Biomaterials 82
- Cell Biology 76
- Molecular Medicine 20
- Pharmaceutical Science 12
- Biomedical Engineering 81
Countries citing papers authored by Deep Bhattacharya
This map shows the geographic impact of Deep Bhattacharya'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 Deep Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep Bhattacharya more than expected).
Fields of papers citing papers by Deep Bhattacharya
This network shows the impact of papers produced by Deep Bhattacharya. 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 Deep Bhattacharya. The network helps show where Deep Bhattacharya may publish in the future.
Co-authors
The 25 scholars most cited alongside Deep Bhattacharya, 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 | 2017 | 156 | |
| 2 | 2020 | 49 | |
| 3 | 2022 | 30 | |
| 4 | 2021 | 19 | |
| 5 | 2024 | 17 | |
| 6 | 2019 | 10 | |
| 7 | 2020 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2025 | 1 |
About Deep Bhattacharya
Deep Bhattacharya is a scholar working on Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Cell Biology and Immunology and Allergy, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Protein purification and stability (3 papers), Cell Adhesion Molecules Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Luminescence and Fluorescent Materials (1 paper) and Freezing and Crystallization Processes (1 paper). The work is most often cited by research in Biomaterials (82 citations), Cell Biology (76 citations), Molecular Medicine (20 citations), Pharmaceutical Science (12 citations) and Biomedical Engineering (81 citations). Deep Bhattacharya has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Aaron M. Mohs, Denis Svechkarev, Margaret Taylor, Amarnath Natarajan, Joshua J. Souchek, Tanner K. Hill, Michael A. Hollingsworth, Aneesha Dasgupta, Subhabrata Majumder and Arun Alphonse Ignatius. Their work appears in journals such as Journal of Pharmaceutical Sciences, PLoS Pathogens, Pharmaceutical Research, Journal of Materials Chemistry B and ACS Biomaterials Science & Engineering.
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.