Ravi Singh
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 0.5%
- Graphene and Nanomaterials Applications
- Nanoplatforms for cancer theranostics
Papers in
- Biomaterials 12
- Nanoparticle-Based Drug Delivery 11
- Co-authors
- Kostas KostarelosMaurizio PratoDavide PantarottoSuzy V. TortiAlberto BiancoDavid McCarthyLara LacerdaMathieu Erhardt
- Journals
- Scientific Reports (3 papers)Nanomedicine (3 papers)Cancer Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ravi Singh
84 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Biomaterials 996
- Biomedical Engineering 2.8k
- Materials Chemistry 2.2k
- Cancer Research 697
- Molecular Biology 2.5k
Countries citing papers authored by Ravi Singh
This map shows the geographic impact of Ravi Singh'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 Ravi Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Singh more than expected).
Fields of papers citing papers by Ravi Singh
This network shows the impact of papers produced by Ravi Singh. 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 Ravi Singh. The network helps show where Ravi Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi Singh, 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 | 2024 | 3 | |
| 2 | 2022 | 22 | |
| 3 | 2022 | 38 | |
| 4 | 2019 | 69 | |
| 5 | 2019 | 85 | |
| 6 | 2018 | 259 | |
| 7 | 2018 | 63 | |
| 8 | 2018 | 101 | |
| 9 | 2018 | 27 | |
| 10 | 2018 | 26 | |
| 11 | 2017 | 58 | |
| 12 | 2017 | 15 | |
| 13 | 2015 | 106 | |
| 14 | 2012 | 172 | |
| 15 | 2011 | 58 | |
| 16 | 2010 | 90 | |
| 17 | Topical Cyclosporine Emulsion Modulates Immune Response in Experimental Dry Eye | 2008 | 3 |
| 18 | Tissue biodistribution and blood clearance rates of intravenously administered carbon nanotube radiotracers Hit paper breakdown → | 2006 | 788 |
| 19 | 1999 | 5 | |
| 20 | 1997 | 4 |
About Ravi Singh
Ravi Singh is a scholar working on Developmental Neuroscience, Biomaterials, Biomedical Engineering, Cancer Research and Molecular Biology, having authored 84 papers that have together received 6.5k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (15 papers), RNA Interference and Gene Delivery (15 papers), Extracellular vesicles in disease (13 papers), Virus-based gene therapy research (12 papers), Nanoparticle-Based Drug Delivery (11 papers), Graphene and Nanomaterials Applications (8 papers), MicroRNA in disease regulation (7 papers) and Nanoparticles: synthesis and applications (7 papers). The work is most often cited by research in Biomaterials (996 citations), Biomedical Engineering (2.8k citations), Materials Chemistry (2.2k citations), Cancer Research (697 citations) and Molecular Biology (2.5k citations). Ravi Singh has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kostas Kostarelos, Maurizio Prato, Davide Pantarotto, Suzy V. Torti, Alberto Bianco, David McCarthy, Lara Lacerda, Mathieu Erhardt, Jean‐Paul Briand and Giorgia Pastorin. Their work appears in journals such as Scientific Reports, Nanomedicine, Cancer Research, Proceedings of the National Academy of Sciences and Nature Communications.
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.