Eupa Ray
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
Papers in
-
- Advanced Drug Delivery Systems 7
- Drug Solubulity and Delivery Systems 2
-
- Nanoparticle-Based Drug Delivery 9
- Co-authors
- Rahul Kumar Verma (24 shared papers)Kalpesh Vaghasiya (16 shared papers)Ankur Sharma (13 shared papers)Krishna Jadhav (12 shared papers)Om Prakash Katare (4 shared papers)Raghuraj Singh (3 shared papers)Rahul Shukla (3 shared papers)Amit Kumar Singh (3 shared papers)
- Journals
- ACS Biomaterials Science & Engineering (2 papers)Current Protein and Peptide Science (2 papers)AAPS PharmSciTech (2 papers)Artificial Cells Nanomedicine and Biotechnology (1 paper)Journal of drug targeting (1 paper)
- Partner nations
- India
In The Last Decade
Eupa Ray
26 papers receiving 590 citations
Peers
Comparison fields: 5 of 60
- Biomaterials 255
- Pharmaceutical Science 117
- Drug Discovery 3
- Molecular Medicine 46
- Microbiology 29
Countries citing papers authored by Eupa Ray
This map shows the geographic impact of Eupa Ray'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 Eupa Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eupa Ray more than expected).
Fields of papers citing papers by Eupa Ray
This network shows the impact of papers produced by Eupa Ray. 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 Eupa Ray. The network helps show where Eupa Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Eupa Ray, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 2020 | 62 | |
| 3 | 2017 | 46 | |
| 4 | 2019 | 39 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 39 | |
| 7 | 2017 | 36 | |
| 8 | 2023 | 28 | |
| 9 | 2024 | 27 | |
| 10 | 2021 | 25 | |
| 11 | 2022 | 25 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2024 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2024 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2020 | 6 |
About Eupa Ray
Eupa Ray is a scholar working on Pharmaceutical Science, Biomaterials, Microbiology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 26 papers that have together received 600 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (9 papers), Inhalation and Respiratory Drug Delivery (7 papers), Advanced Drug Delivery Systems (7 papers), Antimicrobial Peptides and Activities (4 papers), Tuberculosis Research and Epidemiology (4 papers), Drug Solubulity and Delivery Systems (2 papers), Protease and Inhibitor Mechanisms (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Biomaterials (255 citations), Pharmaceutical Science (117 citations), Drug Discovery (3 citations), Molecular Medicine (46 citations) and Microbiology (29 citations). Eupa Ray has collaborated with scholars based in India. Frequent co-authors include Rahul Kumar Verma, Kalpesh Vaghasiya, Ankur Sharma, Krishna Jadhav, Om Prakash Katare, Raghuraj Singh, Rahul Shukla, Amit Kumar Singh, Balaram Ghosh and Swati Biswas. Their work appears in journals such as ACS Biomaterials Science & Engineering, Current Protein and Peptide Science, AAPS PharmSciTech, Artificial Cells Nanomedicine and Biotechnology and Journal of drug targeting.
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.