Prabhanjan Giram
- Pharmaceutical Science top 1%
- Advanced Drug Delivery Systems 8
- Advancements in Transdermal Drug Delivery 4
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications 11
- Nanoparticle-Based Drug Delivery 9
- Molecular Medicine top 5%
- Rehabilitation top 5%
- Wound Healing and Treatments 4
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials 6
- Graphene and Nanomaterials Applications 4
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- Electrohydrodynamics and Fluid Dynamics 3
- Co-authors
- Baijayantimala GarnaikNeeti SharmaAjinkya A. ShitoleAna Cláudia Paiva‐SantosShubham MusaleDeepak KulkarniAnand P. KhandwekarFrancisco Veiga
- Journals
- SHILAP Revista de lepidopterología (2 papers)Colloids and Surfaces B Biointerfaces (1 paper)Materials Science and Engineering C (3 papers)
- Partner nations
- IndiaUnited StatesPortugal
In The Last Decade
Prabhanjan Giram
45 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Pharmaceutical Science 301
- Biomaterials 605
- Molecular Medicine 113
- Rehabilitation 118
- Biomedical Engineering 416
Countries citing papers authored by Prabhanjan Giram
This map shows the geographic impact of Prabhanjan Giram'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 Prabhanjan Giram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhanjan Giram more than expected).
Fields of papers citing papers by Prabhanjan Giram
This network shows the impact of papers produced by Prabhanjan Giram. 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 Prabhanjan Giram. The network helps show where Prabhanjan Giram may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prabhanjan Giram, 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 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 24 | |
| 9 | 2023 | 68 | |
| 10 | 2023 | 51 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 8 | |
| 13 | 2022 | 31 | |
| 14 | 2022 | 31 | |
| 15 | 2022 | 53 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 46 | |
| 19 | 2019 | 79 | |
| 20 | 2018 | 58 |
About Prabhanjan Giram
Prabhanjan Giram is a scholar working on Biomaterials, Pharmaceutical Science and Rehabilitation, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (11 papers), Nanoparticle-Based Drug Delivery (9 papers), Advanced Drug Delivery Systems (8 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Wound Healing and Treatments (4 papers), Graphene and Nanomaterials Applications (4 papers), Advancements in Transdermal Drug Delivery (4 papers) and Electrohydrodynamics and Fluid Dynamics (3 papers). The work is most often cited by research in Pharmaceutical Science (301 citations), Biomaterials (605 citations) and Molecular Medicine (113 citations). Prabhanjan Giram has collaborated with scholars based in India, United States and Portugal. Frequent co-authors include Baijayantimala Garnaik, Neeti Sharma, Ajinkya A. Shitole, Ana Cláudia Paiva‐Santos, Shubham Musale, Deepak Kulkarni, Anand P. Khandwekar, Francisco Veiga, Harshad S. Kapare and Filipa Mascarenhas‐Melo. Their work appears in journals such as SHILAP Revista de lepidopterología, Colloids and Surfaces B Biointerfaces and Materials Science and Engineering C.
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.