Benjamin Grena
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
Papers in ⓘ
-
- Neuroscience and Neural Engineering 3
- Photoreceptor and optogenetics research 2
-
- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 1
- Co-authors
- Yoel Fink (7 shared papers)Xiaoting Jia (4 shared papers)Yuanyuan Guo (3 shared papers)John D. Joannopoulos (4 shared papers)Han Kyoung Choe (2 shared papers)Seongjun Park (2 shared papers)Andrés Canales (2 shared papers)Gloria B. Choi (2 shared papers)
- Journals
- Nature Communications (2 papers)Physical Review B (1 paper)ACS Nano (1 paper)Proceedings of the National Academy of Sciences (1 paper)Materials Today (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Benjamin Grena
8 papers receiving 622 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 247
- Biomedical Engineering 286
- Polymers and Plastics 85
- Cognitive Neuroscience 100
- Electrical and Electronic Engineering 249
Countries citing papers authored by Benjamin Grena
This map shows the geographic impact of Benjamin Grena'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 Benjamin Grena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Grena more than expected).
Fields of papers citing papers by Benjamin Grena
This network shows the impact of papers produced by Benjamin Grena. 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 Benjamin Grena. The network helps show where Benjamin Grena may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Grena, 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 | 2017 | 289 | |
| 2 | 2013 | 87 | |
| 3 | 2017 | 78 | |
| 4 | 2021 | 56 | |
| 5 | 2013 | 45 | |
| 6 | 2017 | 39 | |
| 7 | 2017 | 39 | |
| 8 | One-step optogenetics with multifunctional flexible polymer fibers | 2017 | 2 |
About Benjamin Grena
Benjamin Grena is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Surfaces, Coatings and Films, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 8 papers that have together received 635 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Photonic Crystals and Applications (2 papers), Photoreceptor and optogenetics research (2 papers), Silicon Nanostructures and Photoluminescence (2 papers), Neural dynamics and brain function (2 papers), Surface Modification and Superhydrophobicity (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Nanomaterials and Printing Technologies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (247 citations), Biomedical Engineering (286 citations), Polymers and Plastics (85 citations), Cognitive Neuroscience (100 citations) and Electrical and Electronic Engineering (249 citations). Benjamin Grena has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Yoel Fink, Xiaoting Jia, Yuanyuan Guo, John D. Joannopoulos, Han Kyoung Choe, Seongjun Park, Andrés Canales, Gloria B. Choi, Jiyeon Park and Yeong Shin Yim. Their work appears in journals such as Nature Communications, Physical Review B, ACS Nano, Proceedings of the National Academy of Sciences and Materials Today.
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.