Swayam Prabha
- Molecular Biology top 5%
- Biomaterials top 0.5%
- Biomedical Engineering top 5%
- Pharmaceutical Science top 0.2%
- Oncology top 10%
- Co-authors
- Vinod LabhasetwarJayanth PanyamSanjeeb Kumar SahooWenzhong ZhouTanmoy SadhukhaBuddhadev LayekTom W. BargarTimothy D. O’Brien
- Topics
- RNA Interference and Gene Delivery (12 papers)Nanoparticle-Based Drug Delivery (8 papers)Advanced biosensing and bioanalysis techniques (6 papers)
- Partner nations
- United StatesSpainVenezuela
In The Last Decade
Swayam Prabha
33 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.5k
- Biomaterials 1.4k
- Biomedical Engineering 795
- Pharmaceutical Science 770
- Oncology 441
Countries citing papers authored by Swayam Prabha
This map shows the geographic impact of Swayam Prabha'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 Swayam Prabha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swayam Prabha more than expected).
Fields of papers citing papers by Swayam Prabha
This network shows the impact of papers produced by Swayam Prabha. 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 Swayam Prabha. The network helps show where Swayam Prabha may publish in the future.
Co-authorship network of co-authors of Swayam Prabha
This figure shows the co-authorship network connecting the top 25 collaborators of Swayam Prabha. A scholar is included among the top collaborators of Swayam Prabha 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 Swayam Prabha. Swayam Prabha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 24 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 16 | |
| 8 | 58 | |
| 9 | 88 | |
| 10 | 24 | |
| 11 | 64 | |
| 12 | 18 | |
| 13 | 94 | |
| 14 | 37 | |
| 15 | 17 | |
| 16 | 105 | |
| 17 | 241 | |
| 18 | 449 | |
| 19 | Residual polyvinyl alcohol associated with poly (d,l-lactide-co-glycolide) nanoparticles affects their physical properties and cellular uptakebreakdown → | 824 |
| 20 | Rapid endo‐lysosomal escape of poly(DL‐lactide‐ co glycolide) nanoparticles: implications for drug and gene deliverybreakdown → | 833 |
About Swayam Prabha
Swayam Prabha is a scholar working on Biomaterials, Pharmaceutical Science and Oncology, having authored 35 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Nanoparticle-Based Drug Delivery (8 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Pharmaceutical Science (770 citations), Biomaterials (1.4k citations) and Molecular Medicine (111 citations). Swayam Prabha has collaborated with scholars based in United States, Spain and Venezuela. Frequent co-authors include Vinod Labhasetwar, Jayanth Panyam, Sanjeeb Kumar Sahoo, Wenzhong Zhou, Tanmoy Sadhukha, Buddhadev Layek, Tom W. Bargar, Timothy D. O’Brien, Susheel Kumar Nethi and Marı́a Contel. Their work appears in journals such as PLoS ONE, Biomaterials and The FASEB Journal.
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.