Kavitha Illath
Impact in
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- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Nanoplatforms for cancer theranostics
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- Neuroscience and Neural Engineering
Papers in
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- 3D Printing in Biomedical Research 10
- Microfluidic and Bio-sensing Technologies 9
- Innovative Microfluidic and Catalytic Techniques Innovation 3
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- Neuroscience and Neural Engineering 6
- Co-authors
- Tuhin Subhra Santra (18 shared papers)Moeto Nagai (14 shared papers)Pallavi Gupta (8 shared papers)Srabani Kar (13 shared papers)Fan‐Gang Tseng (6 shared papers)Ki‐Taek Lim (2 shared papers)Pallavi Shinde (5 shared papers)Nitish R. Mahapatra (2 shared papers)
In The Last Decade
Kavitha Illath
18 papers receiving 310 citations
Peers
Comparison fields: 5 of 55
- Biomedical Engineering 211
- Cellular and Molecular Neuroscience 44
- Biomaterials 28
- Cell Biology 30
- Biophysics 9
Countries citing papers authored by Kavitha Illath
This map shows the geographic impact of Kavitha Illath'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 Kavitha Illath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kavitha Illath more than expected).
Fields of papers citing papers by Kavitha Illath
This network shows the impact of papers produced by Kavitha Illath. 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 Kavitha Illath. The network helps show where Kavitha Illath may publish in the future.
Co-authors
The 10 scholars most cited alongside Kavitha Illath, 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 | 2021 | 70 | |
| 2 | 2021 | 41 | |
| 3 | 2021 | 41 | |
| 4 | 2023 | 32 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 1 |
About Kavitha Illath
Kavitha Illath is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Molecular Biology, having authored 18 papers that have together received 313 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (10 papers), Microfluidic and Bio-sensing Technologies (9 papers), Neuroscience and Neural Engineering (6 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Nanomaterials and Printing Technologies (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Biomedical Engineering (211 citations), Cellular and Molecular Neuroscience (44 citations), Biomaterials (28 citations), Cell Biology (30 citations) and Biophysics (9 citations). Kavitha Illath has collaborated with scholars based in India, Japan and Taiwan. Frequent co-authors include Tuhin Subhra Santra, Moeto Nagai, Pallavi Gupta, Srabani Kar, Fan‐Gang Tseng, Ki‐Taek Lim, Pallavi Shinde, Nitish R. Mahapatra, Shalini Nagabooshanam and Hwan‐You Chang. Their work appears in journals such as Lab on a Chip, Materials Today Bio, Journal of Controlled Release, Surfaces and Interfaces and Analytical Chemistry.
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.