Smita Pathak
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
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- Neuroscience and Neural Engineering 3
- Photoreceptor and optogenetics research 1
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- Chalcogenide Semiconductor Thin Films 1
- Co-authors
- Gabriel A. Silva (4 shared papers)Marie C. Davidson (2 shared papers)Laura Ballerini (1 shared paper)Fernando Patolsky (1 shared paper)Charles M. Lieber (1 shared paper)Brian P. Timko (1 shared paper)Stéphane Campidelli (1 shared paper)Andrea Mazzatenta (1 shared paper)
- Journals
- Journal of Nanoscience and Nanotechnology (1 paper)Nano Letters (1 paper)Advanced Materials (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Smita Pathak
4 papers receiving 702 citations
Peers
Comparison fields: 5 of 63
- Cellular and Molecular Neuroscience 312
- Polymers and Plastics 119
- Biomedical Engineering 311
- Biomaterials 81
- Materials Chemistry 263
Countries citing papers authored by Smita Pathak
This map shows the geographic impact of Smita Pathak'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 Smita Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smita Pathak more than expected).
Fields of papers citing papers by Smita Pathak
This network shows the impact of papers produced by Smita Pathak. 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 Smita Pathak. The network helps show where Smita Pathak may publish in the future.
Co-authors
The 18 scholars most cited alongside Smita Pathak, 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 | 2009 | 437 | |
| 2 | 2007 | 160 | |
| 3 | 2006 | 110 | |
| 4 | 2009 | 13 |
About Smita Pathak
Smita Pathak is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology and Structural Biology, having authored 4 papers that have together received 720 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Quantum Dots Synthesis And Properties (2 papers), Chalcogenide Semiconductor Thin Films (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Cell Image Analysis Techniques (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (312 citations), Polymers and Plastics (119 citations), Biomedical Engineering (311 citations), Biomaterials (81 citations) and Materials Chemistry (263 citations). Smita Pathak has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Gabriel A. Silva, Marie C. Davidson, Laura Ballerini, Fernando Patolsky, Charles M. Lieber, Brian P. Timko, Stéphane Campidelli, Andrea Mazzatenta, Nicholas A. Kotov and Nadine Wong Shi Kam. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Nano Letters, Advanced Materials and Journal of Neuroscience.
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.