Guillermina Almazán
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 32
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- Neuroscience and Neuropharmacology Research 15
- Nerve injury and regeneration 13
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Behavioral Neuroscience top 5%
- Pharmacology top 1%
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- Receptor Mechanisms and Signaling 13
- Polyamine Metabolism and Applications 11
- RNA Research and Splicing 9
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- Pancreatic function and diabetes 12
- Co-authors
- Hsueh‐Ning LiuWalter E. MushynskiQiao‐Ling CuiGabriela FragosoEduardo Molina‐HolgadoSylvain ChemtobHans H. ZinggDiana L. Lefebvre
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (6 papers)Neuron (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Guillermina Almazán
115 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 114
- Developmental Neuroscience 1.2k
- Cellular and Molecular Neuroscience 1.4k
- Neurology 615
- Behavioral Neuroscience 161
- Pharmacology 684
Countries citing papers authored by Guillermina Almazán
This map shows the geographic impact of Guillermina Almazán'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 Guillermina Almazán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermina Almazán more than expected).
Fields of papers citing papers by Guillermina Almazán
This network shows the impact of papers produced by Guillermina Almazán. 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 Guillermina Almazán. The network helps show where Guillermina Almazán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guillermina Almazán, 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 | 2016 | 1 | |
| 2 | 2013 | 3 | |
| 3 | 2013 | 24 | |
| 4 | 2010 | 9 | |
| 5 | 2010 | 39 | |
| 6 | 2009 | 39 | |
| 7 | 2004 | 69 | |
| 8 | 2004 | 140 | |
| 9 | 2002 | 54 | |
| 10 | 2001 | 45 | |
| 11 | 1999 | 201 | |
| 12 | 1999 | 36 | |
| 13 | 1999 | 28 | |
| 14 | 1997 | 51 | |
| 15 | 1996 | 58 | |
| 16 | 1993 | 76 | |
| 17 | 1993 | 63 | |
| 18 | 1986 | 26 | |
| 19 | 1985 | 88 | |
| 20 | 1983 | 22 |
About Guillermina Almazán
Guillermina Almazán is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 115 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (32 papers), Neuroscience and Neuropharmacology Research (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Nerve injury and regeneration (13 papers), Receptor Mechanisms and Signaling (13 papers), Pancreatic function and diabetes (12 papers), Polyamine Metabolism and Applications (11 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Developmental Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (1.4k citations) and Neurology (615 citations). Guillermina Almazán has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Hsueh‐Ning Liu, Walter E. Mushynski, Qiao‐Ling Cui, Gabriela Fragoso, Eduardo Molina‐Holgado, Sylvain Chemtob, Hans H. Zingg, Diana L. Lefebvre, Daya R. Varma and Stéphane Richard. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.