Fernando Amat
- Biophysics top 0.1%
- Cell Image Analysis Techniques 13
- Advanced Fluorescence Microscopy Techniques 10
- Structural Biology top 1%
- Advanced Electron Microscopy Techniques and Applications 6
- Sensory Systems top 2%
- Aging top 5%
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- Single-cell and spatial transcriptomics 5
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- Image Processing Techniques and Applications 4
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- Electron and X-Ray Spectroscopy Techniques 3
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- Geophysical and Geoelectrical Methods 2
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- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Philipp KellerKhaled KhairyRaju TomerKatie McDoleWilliam C. LemonYinan WanEugene W. MyersMark Horowitz
- Journals
- Nature Methods (4 papers)Journal of Structural Biology (3 papers)Neuroinformatics (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Fernando Amat
26 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 138
- Biophysics 1.1k
- Structural Biology 204
- Sensory Systems 225
- Aging 41
- Cellular and Molecular Neuroscience 383
Countries citing papers authored by Fernando Amat
This map shows the geographic impact of Fernando Amat'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 Fernando Amat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Amat more than expected).
Fields of papers citing papers by Fernando Amat
This network shows the impact of papers produced by Fernando Amat. 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 Fernando Amat. The network helps show where Fernando Amat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Amat, 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 | 9 | |
| 2 | 2018 | 312 | |
| 3 | 2016 | 114 | |
| 4 | 2015 | 160 | |
| 5 | 2015 | 85 | |
| 6 | 2014 | 196 | |
| 7 | 2014 | 9 | |
| 8 | 2014 | 162 | |
| 9 | Efficient bayesian multi-view deconvolution | 2013 | 1 |
| 10 | 2013 | 23 | |
| 11 | 2012 | 381 | |
| 12 | 2011 | 89 | |
| 13 | 2010 | 23 | |
| 14 | 2010 | 23 | |
| 15 | 2010 | 398 | |
| 16 | 2009 | 19 | |
| 17 | 2009 | 16 | |
| 18 | 2008 | 24 | |
| 19 | 2007 | 115 | |
| 20 | 1987 | 57 |
About Fernando Amat
Fernando Amat is a scholar working on Structural Biology, Biophysics, Media Technology, Surfaces, Coatings and Films and Physical and Theoretical Chemistry, having authored 26 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (13 papers), Advanced Fluorescence Microscopy Techniques (10 papers), Advanced Electron Microscopy Techniques and Applications (6 papers), Single-cell and spatial transcriptomics (5 papers), Image Processing Techniques and Applications (4 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), Geophysical and Geoelectrical Methods (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Biophysics (1.1k citations), Structural Biology (204 citations), Sensory Systems (225 citations), Aging (41 citations) and Cellular and Molecular Neuroscience (383 citations). Fernando Amat has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Philipp Keller, Khaled Khairy, Raju Tomer, Katie McDole, William C. Lemon, Yinan Wan, Eugene W. Myers, Mark Horowitz, Farshid Moussavi and Kristin Branson. Their work appears in journals such as Nature Methods, Journal of Structural Biology, Neuroinformatics, Journal of Bacteriology and Bioinformatics.
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.