Priyanka Arya
- Molecular Biology
- Pharmaceutical Science top 5%
- Molecular Medicine top 5%
- Biomaterials
- Food Science top 10%
- Topics
- Curcumin's Biomedical Applications (6 papers)Aquaculture disease management and microbiota (4 papers)Drug Solubulity and Delivery Systems (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyDevelopment
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Priyanka Arya
42 papers receiving 731 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 260
- Pharmaceutical Science 124
- Molecular Medicine 107
- Biomaterials 85
- Food Science 75
Countries citing papers authored by Priyanka Arya
This map shows the geographic impact of Priyanka Arya'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 Priyanka Arya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Arya more than expected).
Fields of papers citing papers by Priyanka Arya
This network shows the impact of papers produced by Priyanka Arya. 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 Priyanka Arya. The network helps show where Priyanka Arya may publish in the future.
Co-authorship network of co-authors of Priyanka Arya
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Arya. A scholar is included among the top collaborators of Priyanka Arya 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 Priyanka Arya. Priyanka Arya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 54 | |
| 10 | 4 | |
| 11 | 26 | |
| 12 | Improved fish health: Key to succesful aquaculture | 4 |
| 13 | Role of credit for the upliftment of the fisheries sector | 6 |
| 14 | Integrated multi trophic aquaculture (IMTA): An innovation technology for fish farming in India | 3 |
| 15 | 31 | |
| 16 | 6 | |
| 17 | Chemoprevention by Triticum Aestivum of mouse skin carcinogenesis induced by DMBA and croton oil - association with oxidative status. | 28 |
| 18 | 47 | |
| 19 | Pollination and seed setting studies in cucumber (Cucumis sativus L.). | 1 |
| 20 | Variability Studies in Pepper (Capsicum Spp. L.) Varieties | 1 |
About Priyanka Arya
Priyanka Arya is a scholar working on Molecular Medicine, Pharmaceutical Science and Aquatic Science, having authored 46 papers that have together received 751 indexed citations. Recurring topics across this work include Curcumin's Biomedical Applications (6 papers), Aquaculture disease management and microbiota (4 papers) and Drug Solubulity and Delivery Systems (4 papers). The work is most often cited by research in Molecular Medicine (107 citations), Pharmaceutical Science (124 citations) and Biomaterials (85 citations). Priyanka Arya has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Neera Raghav, Kamla Pathak, Hamid Band, Bhopal Mohapatra, Wei An, Vimla Band, Madhu Kumar, Neha Zutshi, Benjamin T. Goetz and Ravinder Kaur. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Development.
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.