Leonardo Pardo

8.6k citations
157 papers · 6.8k indexed · 2 hit papers · h-index 45

Impact in

    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research
    • Receptor Mechanisms and Signaling
    • Pharmacological Receptor Mechanisms and Effects
    • Chemical Synthesis and Analysis
    • Lipid Membrane Structure and Behavior

Papers in

Leonardo Pardo

154 papers receiving 6.7k citations

Hit Papers

Crystal structure of the µ-opioid receptor bound to a morphinan antagonist 2012 · 1.1k citations
1.1k20102026201520202505007501000

Peers

Leonardo Pardo
Comparison fields: 5 of 135
  • Cellular and Molecular Neuroscience 3.1k
  • Molecular Biology 5.2k
  • Physiology 310
  • Computational Theory and Mathematics 595
  • Toxicology 127
Replace Lei Shi with:
Lei Shi United States
Marta Filizola United States
J.J.G. Tesmer United States
Fiona H. Marshall United Kingdom
Hans Bräuner‐Osborne Denmark
Holger Stark Germany
Miles Congreve United Kingdom
Terry Kenakin United States
Michael A. Hanson United States
Peter Gmeiner Germany
Leonardo Pardo relative to Lei Shi United States Lei Shi's profile →
Citations per field
00.5×1.6×
Lei Shi · 1×
Citations per year

Countries citing papers authored by Leonardo Pardo

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leonardo Pardo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leonardo Pardo Line = papers co-authored together Leonardo Pardo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202432
4 20245
5 20243
6 20237
7 202213
8 20227
9 202111
10 20217
11 20202
12 20199
13 201813
14 201741
15 200533
16 200476
17 200249
18 200112
19 2000153
20 199816

About Leonardo Pardo

Leonardo Pardo is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Organic Chemistry, having authored 157 papers that have together received 6.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (110 papers), Neuropeptides and Animal Physiology (41 papers), Neuroscience and Neuropharmacology Research (30 papers), Pharmacological Receptor Mechanisms and Effects (15 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Chemical Synthesis and Analysis (14 papers), Lipid Membrane Structure and Behavior (14 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.1k citations), Molecular Biology (5.2k citations), Physiology (310 citations), Computational Theory and Mathematics (595 citations) and Toxicology (127 citations). Leonardo Pardo has collaborated with scholars based in Spain, United States and Belgium. Frequent co-authors include Mercedes Campillo, Xavier Deupí, Brian K. Kobilka, Arnau Cordomí, María L. López-Rodrı́guez, Foon Sun Thian, Tong Sun Kobilka, William I. Weis, Roger K. Sunahara and Jesper Mosolff Mathiesen. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Biophysical Journal, Molecular Pharmacology and Pharmacological 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.

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