Abraham G. Beyene
- Biomedical Engineering top 10%
- Materials Chemistry
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Co-authors
- Markita P. LandryJackson Travis Del Bonis-O’DonnellGözde S. DemirerSarah J. YangDarwin YangChandima BulumullaJames HilemanMatthew N. Pearlson
- Topics
- Photoreceptor and optogenetics research (8 papers)Neuroscience and Neural Engineering (6 papers)Carbon Nanotubes in Composites (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceBiomedical EngineeringRenewable Energy, Sustainability and the Environment
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Abraham G. Beyene
21 papers receiving 719 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Biomedical Engineering 320
- Materials Chemistry 298
- Molecular Biology 199
- Cellular and Molecular Neuroscience 162
- Electrical and Electronic Engineering 127
Countries citing papers authored by Abraham G. Beyene
This map shows the geographic impact of Abraham G. Beyene'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 Abraham G. Beyene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abraham G. Beyene more than expected).
Fields of papers citing papers by Abraham G. Beyene
This network shows the impact of papers produced by Abraham G. Beyene. 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 Abraham G. Beyene. The network helps show where Abraham G. Beyene may publish in the future.
Co-authorship network of co-authors of Abraham G. Beyene
This figure shows the co-authorship network connecting the top 25 collaborators of Abraham G. Beyene. A scholar is included among the top collaborators of Abraham G. Beyene based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abraham G. Beyene. Abraham G. Beyene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | Carbon Nanomaterial Fluorescent Probes and Their Biological Applicationsbreakdown → | 109 |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 2 | |
| 9 | 26 | |
| 10 | 1 | |
| 11 | 72 | |
| 12 | 16 | |
| 13 | 125 | |
| 14 | 72 | |
| 15 | 10 | |
| 16 | 58 | |
| 17 | 18 | |
| 18 | 21 | |
| 19 | 127 | |
| 20 | 6 |
About Abraham G. Beyene
Abraham G. Beyene is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Endocrine and Autonomic Systems, having authored 21 papers that have together received 728 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (8 papers), Neuroscience and Neural Engineering (6 papers) and Carbon Nanotubes in Composites (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (162 citations), Biomedical Engineering (320 citations) and Renewable Energy, Sustainability and the Environment (117 citations). Abraham G. Beyene has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Markita P. Landry, Jackson Travis Del Bonis-O’Donnell, Gözde S. Demirer, Sarah J. Yang, Darwin Yang, Chandima Bulumulla, James Hileman, Matthew N. Pearlson, Michele Rubino and Venkatesh Vasudevan. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nano Letters.
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.