Miguel Asai
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology
- Social Psychology
- Endocrine and Autonomic Systems
- Co-authors
- Osvaldo VindrolaAugusto Fernández‐GuardiolaGabriel LinaresAlonso Fernández‐GuastiGabriela Rodrı́guez–ManzoRafael GutiérrezEmma Rodrı́guezJosé-Luis Dı́az
- Topics
- Neuropeptides and Animal Physiology (20 papers)Neuroscience and Neuropharmacology Research (11 papers)Receptor Mechanisms and Signaling (8 papers)
In The Last Decade
Miguel Asai
24 papers receiving 350 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 273
- Molecular Biology 144
- Physiology 76
- Social Psychology 48
- Endocrine and Autonomic Systems 45
Countries citing papers authored by Miguel Asai
This map shows the geographic impact of Miguel Asai'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 Miguel Asai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Asai more than expected).
Fields of papers citing papers by Miguel Asai
This network shows the impact of papers produced by Miguel Asai. 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 Miguel Asai. The network helps show where Miguel Asai may publish in the future.
Co-authorship network of co-authors of Miguel Asai
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Asai. A scholar is included among the top collaborators of Miguel Asai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miguel Asai. Miguel Asai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 15 | |
| 3 | Efecto de la melatonina sobre la concentración de péptidos opioides en el sistema inmune de la rata | 1 |
| 4 | 32 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | Estudio de la liberacion in vitro de peptidos opioides en terminales nerviosas aisladas | 0 |
| 11 | 3 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 12 | |
| 19 | 38 | |
| 20 | 21 |
About Miguel Asai
Miguel Asai is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 25 papers that have together received 357 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (20 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (273 citations), Behavioral Neuroscience (30 citations) and Endocrine and Autonomic Systems (45 citations). Miguel Asai has collaborated with scholars based in Mexico and Argentina. Frequent co-authors include Osvaldo Vindrola, Augusto Fernández‐Guardiola, Gabriel Linares, Alonso Fernández‐Guasti, Gabriela Rodrı́guez–Manzo, Rafael Gutiérrez, Emma Rodrı́guez, José-Luis Dı́az, Miguel Condés‐Lara and Marcela Valdés‐Tovar. Their work appears in journals such as Brain Research, European Journal of Pharmacology and Behavioural Brain Research.
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.