Farida Emran
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications 5
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- Photoreceptor and optogenetics research 5
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- Circadian rhythm and melatonin 2
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- Retinal Development and Disorders 9
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 1
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- Virus-based gene therapy research 1
- Co-authors
- John E. DowlingJason RihelAlan R. AdolphBrian E. ChenVedrana CvetkovskaKwoon Y. WongJoseph M. StujenskeRobert J. Gaivin
- Journals
- Investigative Ophthalmology & Visual Science (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Farida Emran
15 papers receiving 613 citations
Peers
Comparison fields: 5 of 85
- Cell Biology 314
- Cellular and Molecular Neuroscience 155
- Endocrine and Autonomic Systems 46
- Aging 11
- Molecular Biology 363
Countries citing papers authored by Farida Emran
This map shows the geographic impact of Farida Emran'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 Farida Emran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farida Emran more than expected).
Fields of papers citing papers by Farida Emran
This network shows the impact of papers produced by Farida Emran. 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 Farida Emran. The network helps show where Farida Emran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Farida Emran, 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 | 5 | |
| 2 | 2018 | 7 | |
| 3 | 2016 | 25 | |
| 4 | 2015 | 69 | |
| 5 | 2013 | 57 | |
| 6 | 2011 | 23 | |
| 7 | 2011 | 19 | |
| 8 | 2010 | 7 | |
| 9 | 2010 | 81 | |
| 10 | Larval Zebrafish Lose Vision at Night | 2009 | 1 |
| 11 | 2009 | 7 | |
| 12 | 2008 | 160 | |
| 13 | 2008 | 37 | |
| 14 | 2007 | 110 | |
| 15 | 2006 | 9 |
About Farida Emran
Farida Emran is a scholar working on Aging, Cell Biology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 617 indexed citations. Recurring topics across this work include Retinal Development and Disorders (9 papers), Photoreceptor and optogenetics research (5 papers), Zebrafish Biomedical Research Applications (5 papers), CRISPR and Genetic Engineering (3 papers), Circadian rhythm and melatonin (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cell Biology (314 citations), Cellular and Molecular Neuroscience (155 citations) and Endocrine and Autonomic Systems (46 citations). Farida Emran has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John E. Dowling, Jason Rihel, Alan R. Adolph, Brian E. Chen, Vedrana Cvetkovska, Kwoon Y. Wong, Joseph M. Stujenske, Robert J. Gaivin, Lauren L. Daniele and Glenn P. Lobo. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Proceedings of the National Academy of Sciences, Journal of Visualized Experiments, Gene and The CRISPR Journal.
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.