Moshe David‐Pur
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Bioengineering top 5%
- Analytical Chemistry and Sensors
Papers in
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- Neuroscience and Neural Engineering 14
- Photoreceptor and optogenetics research 8
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- Advanced Memory and Neural Computing 7
- Advanced MEMS and NEMS Technologies 2
- Co-authors
- Yael Hanein (19 shared papers)Soumyendu Roy (3 shared papers)Lilach Bareket (4 shared papers)Eshel Ben‐Jacob (3 shared papers)Alon Greenbaum (3 shared papers)Raya Sorkin (2 shared papers)David G. Rand (5 shared papers)Dorit Raz-Prag (2 shared papers)
In The Last Decade
Moshe David‐Pur
19 papers receiving 828 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 493
- Bioengineering 79
- Polymers and Plastics 160
- Cognitive Neuroscience 174
- Biomedical Engineering 390
Countries citing papers authored by Moshe David‐Pur
This map shows the geographic impact of Moshe David‐Pur'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 Moshe David‐Pur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe David‐Pur more than expected).
Fields of papers citing papers by Moshe David‐Pur
This network shows the impact of papers produced by Moshe David‐Pur. 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 Moshe David‐Pur. The network helps show where Moshe David‐Pur may publish in the future.
Co-authors
The 25 scholars most cited alongside Moshe David‐Pur, 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 | 118 | |
| 2 | 2017 | 107 | |
| 3 | 2013 | 100 | |
| 4 | 2014 | 98 | |
| 5 | 2008 | 84 | |
| 6 | 2008 | 75 | |
| 7 | 2016 | 71 | |
| 8 | 2018 | 54 | |
| 9 | 2016 | 41 | |
| 10 | 2009 | 24 | |
| 11 | 2020 | 23 | |
| 12 | 2009 | 17 | |
| 13 | 2017 | 9 | |
| 14 | 2021 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2010 | 3 | |
| 17 | 2010 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2018 | 1 |
About Moshe David‐Pur
Moshe David‐Pur is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering and Cognitive Neuroscience, having authored 19 papers that have together received 838 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Photoreceptor and optogenetics research (8 papers), Advanced Memory and Neural Computing (7 papers), Carbon Nanotubes in Composites (6 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Advanced MEMS and NEMS Technologies (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (493 citations), Bioengineering (79 citations), Polymers and Plastics (160 citations), Cognitive Neuroscience (174 citations) and Biomedical Engineering (390 citations). Moshe David‐Pur has collaborated with scholars based in Israel, Sweden and Croatia. Frequent co-authors include Yael Hanein, Soumyendu Roy, Lilach Bareket, Eshel Ben‐Jacob, Alon Greenbaum, Raya Sorkin, David G. Rand, Dorit Raz-Prag, David G. Rand and Gur Lubin. Their work appears in journals such as Scientific Reports, Journal of Neural Engineering, Advanced Materials, Biomedical Microdevices and Biomaterials.
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.