Supriya Srinivasan
- Molecular Biology
- Biomedical Engineering
- Biomaterials top 10%
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Co-authors
- Anthony J. McGoronAlicia Fernandez-FernandezTingjun LeiRomila ManchandaAbhignyan NagesettiYuan TangNipun B. MerchantNagaraj S. Nagathihalli
- Topics
- Nanoparticle-Based Drug Delivery (7 papers)Nanoplatforms for cancer theranostics (6 papers)Pancreatic and Hepatic Oncology Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Methods
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Supriya Srinivasan
27 papers receiving 923 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 464
- Biomedical Engineering 250
- Biomaterials 188
- Cellular and Molecular Neuroscience 172
- Oncology 161
Countries citing papers authored by Supriya Srinivasan
This map shows the geographic impact of Supriya Srinivasan'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 Supriya Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Srinivasan more than expected).
Fields of papers citing papers by Supriya Srinivasan
This network shows the impact of papers produced by Supriya Srinivasan. 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 Supriya Srinivasan. The network helps show where Supriya Srinivasan may publish in the future.
Co-authorship network of co-authors of Supriya Srinivasan
This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Srinivasan. A scholar is included among the top collaborators of Supriya Srinivasan 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 Supriya Srinivasan. Supriya Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 12 | |
| 4 | 25 | |
| 5 | 33 | |
| 6 | 40 | |
| 7 | 97 | |
| 8 | 32 | |
| 9 | 11 | |
| 10 | 31 | |
| 11 | 21 | |
| 12 | 47 | |
| 13 | 72 | |
| 14 | 79 | |
| 15 | 194 | |
| 16 | 29 | |
| 17 | 11 | |
| 18 | 17 | |
| 19 | 19 | |
| 20 | 24 |
About Supriya Srinivasan
Supriya Srinivasan is a scholar working on Biomaterials, Applied Microbiology and Biotechnology and Cell Biology, having authored 27 papers that have together received 936 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), Nanoplatforms for cancer theranostics (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Biomaterials (188 citations), Cellular and Molecular Neuroscience (172 citations) and Molecular Biology (464 citations). Supriya Srinivasan has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Anthony J. McGoron, Alicia Fernandez-Fernandez, Tingjun Lei, Romila Manchanda, Abhignyan Nagesetti, Yuan Tang, Nipun B. Merchant, Nagaraj S. Nagathihalli, Austin R. Dosch and Ken D. McCarthy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Methods.
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.