Anitha Ravikrishnan
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
Papers in
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- RNA Interference and Gene Delivery 8
- Advanced biosensing and bioanalysis techniques 3
- Genetics 7
- Virus-based gene therapy research 7
- Co-authors
- Charles H. Jones (8 shared papers)Blaine A. Pfeifer (8 shared papers)Chih‐Kuang Chen (4 shared papers)Xinqiao Jia (6 shared papers)Mingfu Chen (5 shared papers)Chong Cheng (4 shared papers)Guojian Zhang (3 shared papers)Anders Håkansson (2 shared papers)
- Journals
- Molecular Pharmaceutics (3 papers)Biomaterials (3 papers)ACS Applied Materials & Interfaces (2 papers)ACS Biomaterials Science & Engineering (2 papers)Biomacromolecules (1 paper)
- Partner nations
- United StatesTaiwanRussia
In The Last Decade
Anitha Ravikrishnan
14 papers receiving 697 citations
Peers
Comparison fields: 5 of 68
- Biomaterials 134
- Molecular Biology 487
- Genetics 174
- Process Chemistry and Technology 9
- Biomedical Engineering 133
Countries citing papers authored by Anitha Ravikrishnan
This map shows the geographic impact of Anitha Ravikrishnan'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 Anitha Ravikrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anitha Ravikrishnan more than expected).
Fields of papers citing papers by Anitha Ravikrishnan
This network shows the impact of papers produced by Anitha Ravikrishnan. 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 Anitha Ravikrishnan. The network helps show where Anitha Ravikrishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Anitha Ravikrishnan, 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 | 2013 | 344 | |
| 2 | 2013 | 68 | |
| 3 | 2016 | 51 | |
| 4 | 2014 | 47 | |
| 5 | 2015 | 29 | |
| 6 | 2018 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2015 | 25 | |
| 9 | 2014 | 23 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 13 | |
| 12 | 2021 | 10 | |
| 13 | 2013 | 10 | |
| 14 | 2015 | 10 |
About Anitha Ravikrishnan
Anitha Ravikrishnan is a scholar working on Molecular Biology, Genetics, Biomaterials, Surgery and Ecology, having authored 14 papers that have together received 701 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Virus-based gene therapy research (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Silk-based biomaterials and applications (2 papers), Cancer Research and Treatments (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Biomaterials (134 citations), Molecular Biology (487 citations), Genetics (174 citations), Process Chemistry and Technology (9 citations) and Biomedical Engineering (133 citations). Anitha Ravikrishnan has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Charles H. Jones, Blaine A. Pfeifer, Chih‐Kuang Chen, Xinqiao Jia, Mingfu Chen, Chong Cheng, Guojian Zhang, Anders Håkansson, Ryan M. Reddinger and Robert L. Witt. Their work appears in journals such as Molecular Pharmaceutics, Biomaterials, ACS Applied Materials & Interfaces, ACS Biomaterials Science & Engineering and Biomacromolecules.
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.