Alejandro Ramirez
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- TGF-β signaling in diseases 1
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- Neuroscience and Neural Engineering 3
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Randy M. Bruno (3 shared papers)Marcel Oberlaender (2 shared papers)Xuedong Liu (1 shared paper)Zhizhong Li (1 shared paper)David Waddell (1 shared paper)Xiao‐Fan Wang (1 shared paper)Xing Guo (1 shared paper)Christiaan P. J. de Kock (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Genes & Development (1 paper)Cerebral Cortex (1 paper)Nature Neuroscience (1 paper)Endocrine Practice (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Alejandro Ramirez
7 papers receiving 743 citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 271
- Cognitive Neuroscience 280
- Biophysics 68
- Structural Biology 16
- Molecular Biology 367
Countries citing papers authored by Alejandro Ramirez
This map shows the geographic impact of Alejandro Ramirez'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 Alejandro Ramirez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Ramirez more than expected).
Fields of papers citing papers by Alejandro Ramirez
This network shows the impact of papers produced by Alejandro Ramirez. 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 Alejandro Ramirez. The network helps show where Alejandro Ramirez may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Ramirez, 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 | 2008 | 210 | |
| 2 | 2011 | 200 | |
| 3 | 2021 | 115 | |
| 4 | 2012 | 87 | |
| 5 | 2014 | 54 | |
| 6 | 2021 | 49 | |
| 7 | 2007 | 38 | |
| 8 | 2024 | 0 |
About Alejandro Ramirez
Alejandro Ramirez is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology and Pathology and Forensic Medicine, having authored 8 papers that have together received 753 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Neural dynamics and brain function (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cell Image Analysis Techniques (1 paper), TGF-β signaling in diseases (1 paper), Genetic factors in colorectal cancer (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (271 citations), Cognitive Neuroscience (280 citations), Biophysics (68 citations), Structural Biology (16 citations) and Molecular Biology (367 citations). Alejandro Ramirez has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Randy M. Bruno, Marcel Oberlaender, Xuedong Liu, Zhizhong Li, David Waddell, Xiao‐Fan Wang, Xing Guo, Christiaan P. J. de Kock, Hanno S. Meyer and Moritz Helmstaedter. Their work appears in journals such as The Journal of Cell Biology, Genes & Development, Cerebral Cortex, Nature Neuroscience and Endocrine Practice.
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.