M.Clara Sañudo-Peña
- Pharmacology top 0.1%
- Cannabis and Cannabinoid Research 15
- Cellular and Molecular Neuroscience top 0.5%
- Neurotransmitter Receptor Influence on Behavior 12
- Neuroscience and Neuropharmacology Research 11
- Toxicology top 0.5%
- Forensic Toxicology and Drug Analysis 2
- Cognitive Neuroscience top 2%
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- Neurological disorders and treatments 2
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- Prenatal Substance Exposure Effects 1
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- Pharmacological Receptor Mechanisms and Effects 1
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- Pain Mechanisms and Treatments 1
- Co-authors
- Ken MackieK TsouJohn M. WalkerSean M. BrownJames M. WalkerKang TsouNicole StrangmanSusan M. Huang
- Partner nations
- United StatesSpain
In The Last Decade
M.Clara Sañudo-Peña
16 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Pharmacology 2.6k
- Cellular and Molecular Neuroscience 2.1k
- Toxicology 230
- Endocrine and Autonomic Systems 339
- Cognitive Neuroscience 758
Countries citing papers authored by M.Clara Sañudo-Peña
This map shows the geographic impact of M.Clara Sañudo-Peña'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 M.Clara Sañudo-Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.Clara Sañudo-Peña more than expected).
Fields of papers citing papers by M.Clara Sañudo-Peña
This network shows the impact of papers produced by M.Clara Sañudo-Peña. 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 M.Clara Sañudo-Peña. The network helps show where M.Clara Sañudo-Peña may publish in the future.
Co-authorship network
The 17 scholars most cited alongside M.Clara Sañudo-Peña, 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 | 2000 | 175 | |
| 2 | 2000 | 11 | |
| 3 | 2000 | 13 | |
| 4 | 1999 | 281 | |
| 5 | 1999 | 126 | |
| 6 | 1999 | 397 | |
| 7 | CB1 receptor localization in rat spinal cord and roots, dorsal root ganglion, and peripheral nerve. | 1999 | 64 |
| 8 | 1998 | 196 | |
| 9 | 1998 | 14 | |
| 10 | 1998 | 29 | |
| 11 | 1998 | 63 | |
| 12 | Immunohistochemical distribution of cannabinoid CB1 receptors in the rat central nervous systembreakdown → | 1998 | 1323 |
| 13 | 1998 | 3 | |
| 14 | 1998 | 2 | |
| 15 | 1997 | 119 | |
| 16 | 1997 | 73 |
About M.Clara Sañudo-Peña
M.Clara Sañudo-Peña is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Toxicology, having authored 16 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (15 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Neurological disorders and treatments (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Prenatal Substance Exposure Effects (1 paper), Pharmacological Receptor Mechanisms and Effects (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Pharmacology (2.6k citations), Cellular and Molecular Neuroscience (2.1k citations) and Toxicology (230 citations). M.Clara Sañudo-Peña has collaborated with scholars based in United States and Spain. Frequent co-authors include Ken Mackie, K Tsou, John M. Walker, Sean M. Brown, James M. Walker, Kang Tsou, Nicole Strangman, Susan M. Huang, Julián Romero and Javier Fernández‐Ruíz. Their work appears in journals such as Brain Research, Neuroscience, Life Sciences, Journal of Pain and Annals of the New York Academy of Sciences.
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.