Mauricio Esguerra

12 papers receiving 559 citations

Hit Papers

GPCRdb in 2021: integrating GPCR sequence, structure and ...2020202620222024202050100150200250

Peers

Mauricio Esguerra
Comparison fields: 5 of 73
  • Molecular Biology 487
  • Cellular and Molecular Neuroscience 164
  • Computational Theory and Mathematics 102
  • Spectroscopy 58
  • Radiology, Nuclear Medicine and Imaging 57
Replace Mireia Olivella with:
Mireia Olivella Spain
Rasmus Fonseca Denmark
Matthew Chu United States
James A. R. Dalton Spain
Chidochangu P. Mpamhanga United Kingdom
Sangbae Lee United States
Hee Ryung Kim South Korea
Nilkanth Patel United States
Gáspár Pándy‐Szekeres Hungary
Elizabeth K. M. Johnstone Australia
Mauricio Esguerra relative to Mireia Olivella Spain Mireia Olivella's profile →
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Citations per year

Countries citing papers authored by Mauricio Esguerra

Since Specialization
Citations

This map shows the geographic impact of Mauricio Esguerra'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 Mauricio Esguerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauricio Esguerra more than expected).

Fields of papers citing papers by Mauricio Esguerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauricio Esguerra. 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 Mauricio Esguerra. The network helps show where Mauricio Esguerra may publish in the future.

Co-authorship network of co-authors of Mauricio Esguerra

This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio Esguerra. A scholar is included among the top collaborators of Mauricio Esguerra 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 Mauricio Esguerra. Mauricio Esguerra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 8
2 54
3
GPCRdb in 2021: integrating GPCR sequence, structure and functionbreakdown →
256
4 58
5 10
6 8
7 53
8 6
9 8
10 59
11 21
12 22

About Mauricio Esguerra

Mauricio Esguerra is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Computational Theory and Mathematics, having authored 12 papers that have together received 563 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (164 citations), Molecular Biology (487 citations) and Computational Theory and Mathematics (102 citations). Mauricio Esguerra has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Albert J. Kooistra, Gáspár Pándy‐Szekeres, David E. Gloriam, György M. Keserű, Christian Munk, Stefan Mordalski, Hugo Gutiérrez‐de‐Terán, Johan Åqvist, Willem Jespers and Jessica Sallander. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Organic & Biomolecular Chemistry.

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.

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