Tal Sharf
Impact in
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Bioengineering top 10%
Papers in
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- Mechanical and Optical Resonators 7
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- Carbon Nanotubes in Composites 7
- Graphene research and applications 3
- Co-authors
- Ethan D. Minot (11 shared papers)Kenneth S. Kosik (3 shared papers)Joshua W. Kevek (5 shared papers)John J. Chen (1 shared paper)Martin Kampmann (1 shared paper)Jennifer N. Rauch (1 shared paper)Alexander W. Sorum (1 shared paper)Linda C. Hsieh‐Wilson (1 shared paper)
- Journals
- Lab on a Chip (2 papers)Cell Reports (2 papers)Nano Letters (2 papers)The Journal of Physical Chemistry C (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Tal Sharf
15 papers receiving 556 citations
Tal Sharf's Hit Papers
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 147
- Bioengineering 40
- Neurology 47
- Physiology 111
- Materials Chemistry 183
Countries citing papers authored by Tal Sharf
This map shows the geographic impact of Tal Sharf'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 Tal Sharf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Sharf more than expected).
Fields of papers citing papers by Tal Sharf
This network shows the impact of papers produced by Tal Sharf. 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 Tal Sharf. The network helps show where Tal Sharf may publish in the future.
Co-authors
The 25 scholars most cited alongside Tal Sharf, 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 | 2018 | 147 | |
| 2 | Functional neuronal circuitry and oscillatory dynamics in human brain organoids Hit paper breakdown → | 2022 | 138 |
| 3 | 2013 | 57 | |
| 4 | 2016 | 40 | |
| 5 | 2013 | 38 | |
| 6 | 2012 | 36 | |
| 7 | 2014 | 26 | |
| 8 | 2012 | 19 | |
| 9 | 2010 | 17 | |
| 10 | 2014 | 13 | |
| 11 | 2012 | 10 | |
| 12 | 2019 | 8 | |
| 13 | 2025 | 6 | |
| 14 | 2011 | 6 | |
| 15 | 2011 | 4 | |
| 16 | 2026 | 0 | |
| 17 | 2026 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Tal Sharf
Tal Sharf is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 20 papers that have together received 565 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (7 papers), Mechanical and Optical Resonators (7 papers), Neuroscience and Neural Engineering (3 papers), Nanowire Synthesis and Applications (3 papers), Neural dynamics and brain function (3 papers), Graphene research and applications (3 papers), Photoreceptor and optogenetics research (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (147 citations), Bioengineering (40 citations), Neurology (47 citations), Physiology (111 citations) and Materials Chemistry (183 citations). Tal Sharf has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Ethan D. Minot, Kenneth S. Kosik, Joshua W. Kevek, John J. Chen, Martin Kampmann, Jennifer N. Rauch, Alexander W. Sorum, Linda C. Hsieh‐Wilson, Stephanie K. See and Gregory M. Miller. Their work appears in journals such as Lab on a Chip, Cell Reports, Nano Letters, The Journal of Physical Chemistry C and Scientific Reports.
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.