Miguel Á. Tejada
- Molecular Biology
- Physiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology
- Environmental Chemistry top 10%
- Co-authors
- Enrique J. CobosFrancisco R. NietoRafael González‐CanoCristina Sánchez–FernándezÁngeles Montilla‐GarcíaCruz Miguel CendánJosé Manuel EntrenaJosé M. Baeyens
- Topics
- Pain Mechanisms and Treatments (13 papers)Neuropeptides and Animal Physiology (12 papers)Pharmacological Receptor Mechanisms and Effects (10 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPain
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Miguel Á. Tejada
30 papers receiving 795 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 479
- Physiology 285
- Cellular and Molecular Neuroscience 270
- Pharmacology 70
- Environmental Chemistry 61
Countries citing papers authored by Miguel Á. Tejada
This map shows the geographic impact of Miguel Á. Tejada'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 Á. Tejada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Á. Tejada more than expected).
Fields of papers citing papers by Miguel Á. Tejada
This network shows the impact of papers produced by Miguel Á. Tejada. 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 Á. Tejada. The network helps show where Miguel Á. Tejada may publish in the future.
Co-authorship network of co-authors of Miguel Á. Tejada
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Á. Tejada. A scholar is included among the top collaborators of Miguel Á. Tejada 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 Á. Tejada. Miguel Á. Tejada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 33 | |
| 8 | 12 | |
| 9 | 41 | |
| 10 | 43 | |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 12 | |
| 14 | 25 | |
| 15 | 33 | |
| 16 | 60 | |
| 17 | 27 | |
| 18 | 70 | |
| 19 | 53 | |
| 20 | 109 |
About Miguel Á. Tejada
Miguel Á. Tejada is a scholar working on Cellular and Molecular Neuroscience, Obstetrics and Gynecology and Physiology, having authored 31 papers that have together received 807 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Neuropeptides and Animal Physiology (12 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (270 citations), Biological Psychiatry (28 citations) and Physiology (285 citations). Miguel Á. Tejada has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Enrique J. Cobos, Francisco R. Nieto, Rafael González‐Cano, Cristina Sánchez–Fernández, Ángeles Montilla‐García, Cruz Miguel Cendán, José Manuel Entrena, José M. Baeyens, Gloria Perazzoli and M. Carmen Ruiz‐Cantero. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Pain.
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.