Hilda Martínez‐Coria
- Developmental Neuroscience top 1%
- Biological Psychiatry top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Physiology top 2%
- Alzheimer's disease research and treatments 14
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- Neuroscience and Neuropharmacology Research 5
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- Growth Hormone and Insulin-like Growth Factors 7
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- Cholinesterase and Neurodegenerative Diseases 4
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- Cancer, Hypoxia, and Metabolism 3
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- Computational Drug Discovery Methods 3
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- Memory and Neural Mechanisms 3
- Co-authors
- Frank M. LaFerlaKim N. GreenMasashi KitazawaMathew Blurton‐JonesNicholas A. CastelloWayne W. PoonTritia R. YamasakiJeanne F. Loring
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Neuron (1 paper)Journal of Neuroscience (3 papers)
- Partner nations
- MexicoUnited StatesBulgaria
In The Last Decade
Hilda Martínez‐Coria
33 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Developmental Neuroscience 381
- Biological Psychiatry 187
- Neurology 416
- Physiology 1.2k
- Cellular and Molecular Neuroscience 785
Countries citing papers authored by Hilda Martínez‐Coria
This map shows the geographic impact of Hilda Martínez‐Coria'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 Hilda Martínez‐Coria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hilda Martínez‐Coria more than expected).
Fields of papers citing papers by Hilda Martínez‐Coria
This network shows the impact of papers produced by Hilda Martínez‐Coria. 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 Hilda Martínez‐Coria. The network helps show where Hilda Martínez‐Coria may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hilda Martínez‐Coria, 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 | 2024 | 6 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 28 | |
| 4 | 2020 | 37 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 34 | |
| 7 | 2016 | 38 | |
| 8 | 2014 | 58 | |
| 9 | 2014 | 83 | |
| 10 | 2013 | 82 | |
| 11 | 2013 | 71 | |
| 12 | 2012 | 35 | |
| 13 | 2012 | 103 | |
| 14 | 2009 | 174 | |
| 15 | 2008 | 319 | |
| 16 | 2007 | 262 | |
| 17 | 2006 | 331 | |
| 18 | 2002 | 20 | |
| 19 | 2002 | 3 | |
| 20 | 2000 | 36 |
About Hilda Martínez‐Coria
Hilda Martínez‐Coria is a scholar working on Neurology, Developmental Neuroscience and Physiology, having authored 34 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Computational Drug Discovery Methods (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (381 citations), Biological Psychiatry (187 citations) and Neurology (416 citations). Hilda Martínez‐Coria has collaborated with scholars based in Mexico, United States and Bulgaria. Frequent co-authors include Frank M. LaFerla, Kim N. Green, Masashi Kitazawa, Mathew Blurton‐Jones, Nicholas A. Castello, Wayne W. Poon, Tritia R. Yamasaki, Jeanne F. Loring, Frank Müller and Lauren M. Billings. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.