Hugo Gutiérrez‐de‐Terán

3.2k citations
103 papers · 2.3k indexed · h-index 28
Topics
Receptor Mechanisms and Signaling (56 papers)Adenosine and Purinergic Signaling (33 papers)Neuropeptides and Animal Physiology (29 papers)
Partner nations
SwedenSpainUnited States

In The Last Decade

Hugo Gutiérrez‐de‐Terán

101 papers receiving 2.2k citations

Peers

Hugo Gutiérrez‐de‐Terán
Comparison fields: 5 of 109
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 606
  • Physiology 455
  • Computational Theory and Mathematics 398
  • Organic Chemistry 389
Replace Leigh A. Stoddart with:
Leigh A. Stoddart United Kingdom
Veli‐Pekka Jaakola Finland
Andrea Bortolato Italy
James C. Errey United Kingdom
Malcolm Weir United Kingdom
Qiang Zhao China
Mark T. Griffith United States
Alisa Glukhova United States
C. Roth United States
Irina G. Tikhonova United Kingdom
Hugo Gutiérrez‐de‐Terán relative to Leigh A. Stoddart United Kingdom Leigh A. Stoddart's profile →
Citations per field
00.5×3.0×
Leigh A. Stoddart · 1×
Citations per year

Countries citing papers authored by Hugo Gutiérrez‐de‐Terán

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026