Hugo Gutiérrez‐de‐Terán
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 0.5%
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 5%
- Co-authors
- Johan ÅqvistDavid RodríguezWillem JespersEddy SoteloXabier BelloMauricio EsguerraHenrik KeränenJessica Sallander
- Topics
- Receptor Mechanisms and Signaling (56 papers)Adenosine and Purinergic Signaling (33 papers)Neuropeptides and Animal Physiology (29 papers)
- Journals
- Nucleic Acids ResearchJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- SwedenSpainUnited States
In The Last Decade
Hugo Gutiérrez‐de‐Terán
101 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.7k
- Cellular and Molecular Neuroscience 606
- Physiology 455
- Computational Theory and Mathematics 398
- Organic Chemistry 389
Countries citing papers authored by Hugo Gutiérrez‐de‐Terán
This map shows the geographic impact of Hugo Gutiérrez‐de‐Terán'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 Hugo Gutiérrez‐de‐Terán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Gutiérrez‐de‐Terán more than expected).
Fields of papers citing papers by Hugo Gutiérrez‐de‐Terán
This network shows the impact of papers produced by Hugo Gutiérrez‐de‐Terán. 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 Hugo Gutiérrez‐de‐Terán. The network helps show where Hugo Gutiérrez‐de‐Terán may publish in the future.
Co-authorship network of co-authors of Hugo Gutiérrez‐de‐Terán
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Gutiérrez‐de‐Terán. A scholar is included among the top collaborators of Hugo Gutiérrez‐de‐Terán 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 Hugo Gutiérrez‐de‐Terán. Hugo Gutiérrez‐de‐Terán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 54 | |
| 6 | 17 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 58 | |
| 12 | 2 | |
| 13 | 23 | |
| 14 | 16 | |
| 15 | 6 | |
| 16 | 107 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 45 | |
| 20 | 3 |
About Hugo Gutiérrez‐de‐Terán
Hugo Gutiérrez‐de‐Terán is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (56 papers), Adenosine and Purinergic Signaling (33 papers) and Neuropeptides and Animal Physiology (29 papers). The work is most often cited by research in Physiology (455 citations), Cellular and Molecular Neuroscience (606 citations) and Computational Theory and Mathematics (398 citations). Hugo Gutiérrez‐de‐Terán has collaborated with scholars based in Sweden, Spain and United States. Frequent co-authors include Johan Åqvist, David Rodríguez, Willem Jespers, Eddy Sotelo, Xabier Bello, Mauricio Esguerra, Henrik Keränen, Jessica Sallander, Xerardo García‐Mera and Laura H. Heitman. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.