Shashi Prabha
- Molecular Biology
- Biomaterials
- Biomedical Engineering
- Pharmaceutical Science top 10%
- Materials Chemistry
- Co-authors
- Surendra NimeshRamesh ChandraBahar AhmedGeeta AryaKrushna Chandra HembramSumit GuptaJ SinghRashmi Chandra
- Topics
- RNA Interference and Gene Delivery (3 papers)Science Education and Pedagogy (3 papers)Innovative Teaching Methods (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaPediatric Blood & CancerArtificial Cells Nanomedicine and Biotechnology
- Partner nations
- IndiaUnited KingdomSingapore
In The Last Decade
Shashi Prabha
11 papers receiving 298 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 102
- Biomaterials 87
- Biomedical Engineering 61
- Pharmaceutical Science 54
- Materials Chemistry 42
Countries citing papers authored by Shashi Prabha
This map shows the geographic impact of Shashi 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 Shashi Prabha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashi Prabha more than expected).
Fields of papers citing papers by Shashi Prabha
This network shows the impact of papers produced by Shashi 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 Shashi Prabha. The network helps show where Shashi Prabha may publish in the future.
Co-authorship network of co-authors of Shashi Prabha
This figure shows the co-authorship network connecting the top 25 collaborators of Shashi Prabha. A scholar is included among the top collaborators of Shashi 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 Shashi Prabha. Shashi 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 | 0 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 9 | |
| 8 | 101 | |
| 9 | 140 | |
| 10 | 0 | |
| 11 | Image Blind Signal Separation Algorithm based on Fast ICA | 1 |
| 12 | 1 | |
| 13 | Transplacental transfer of measles antibody in Delhi. | 4 |
| 14 | Immunity to diphtheria in women of childbearing age in Delhi in 1994: evidence of continued Corynebacterium diphtheriae circulation. | 7 |
About Shashi Prabha
Shashi Prabha is a scholar working on Occupational Therapy, Emergency Medicine and Endocrinology, having authored 14 papers that have together received 305 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Science Education and Pedagogy (3 papers) and Innovative Teaching Methods (2 papers). The work is most often cited by research in Pharmaceutical Science (54 citations), Biomaterials (87 citations) and Molecular Medicine (11 citations). Shashi Prabha has collaborated with scholars based in India, United Kingdom and Singapore. Frequent co-authors include Surendra Nimesh, Ramesh Chandra, Bahar Ahmed, Geeta Arya, Krushna Chandra Hembram, Bahar Ahmed, Sumit Gupta, J Singh, Rashmi Chandra and Nidhi Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, Pediatric Blood & Cancer and Artificial Cells Nanomedicine and Biotechnology.
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.