Ramez Daniel
Impact in
- Biophysics top 10%
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Gene Regulatory Network Analysis 8
- bioluminescence and chemiluminescence research 4
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
-
- Advanced Memory and Neural Computing 5
- Co-authors
- Loai Danial (5 shared papers)Ximing Li (6 shared papers)Shahar Kvatinsky (4 shared papers)Evgeny Pikhay (1 shared paper)V.K. Gupta (1 shared paper)Nicolás Wainstein (1 shared paper)Yakov Roizin (1 shared paper)Nimrod Wald (1 shared paper)
- Journals
- Nature Communications (3 papers)Scientific Reports (2 papers)Nucleic Acids Research (2 papers)Current Opinion in Biotechnology (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Ramez Daniel
15 papers receiving 299 citations
Peers
Comparison fields: 5 of 52
- Biophysics 25
- Cellular and Molecular Neuroscience 67
- Electrical and Electronic Engineering 147
- Molecular Biology 122
- Artificial Intelligence 43
Countries citing papers authored by Ramez Daniel
This map shows the geographic impact of Ramez Daniel'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 Ramez Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramez Daniel more than expected).
Fields of papers citing papers by Ramez Daniel
This network shows the impact of papers produced by Ramez Daniel. 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 Ramez Daniel. The network helps show where Ramez Daniel may publish in the future.
Co-authors
The 17 scholars most cited alongside Ramez Daniel, 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 | 2019 | 129 | |
| 2 | 2021 | 45 | |
| 3 | 2022 | 36 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2020 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2018 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 0 |
About Ramez Daniel
Ramez Daniel is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Genetics, having authored 16 papers that have together received 299 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Advanced Memory and Neural Computing (5 papers), Neural dynamics and brain function (4 papers), bioluminescence and chemiluminescence research (4 papers), Photoreceptor and optogenetics research (4 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Biophysics (25 citations), Cellular and Molecular Neuroscience (67 citations), Electrical and Electronic Engineering (147 citations), Molecular Biology (122 citations) and Artificial Intelligence (43 citations). Ramez Daniel has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Loai Danial, Ximing Li, Shahar Kvatinsky, Evgeny Pikhay, V.K. Gupta, Nicolás Wainstein, Yakov Roizin, Nimrod Wald, Maria Khoury and Netanel Korin. Their work appears in journals such as Nature Communications, Scientific Reports, Nucleic Acids Research, Current Opinion in Biotechnology and ACS Synthetic Biology.
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.