Leonardo Pardo
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling
- Pharmacological Receptor Mechanisms and Effects
- Chemical Synthesis and Analysis
- Lipid Membrane Structure and Behavior
Papers in
-
- Neuropeptides and Animal Physiology 41
- Neuroscience and Neuropharmacology Research 30
- Neurotransmitter Receptor Influence on Behavior 15
- Co-authors
- Mercedes CampilloXavier DeupíBrian K. KobilkaArnau CordomíMaría L. López-Rodrı́guezFoon Sun ThianTong Sun KobilkaWilliam I. Weis
- Journals
- Journal of Medicinal Chemistry (21 papers)Journal of Biological Chemistry (10 papers)Biophysical Journal (10 papers)Molecular Pharmacology (6 papers)Pharmacological Research (5 papers)
- Partner nations
- SpainUnited StatesBelgium
In The Last Decade
Leonardo Pardo
154 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cellular and Molecular Neuroscience 3.1k
- Molecular Biology 5.2k
- Physiology 310
- Computational Theory and Mathematics 595
- Toxicology 127
Countries citing papers authored by Leonardo Pardo
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 32 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 13 | |
| 14 | 2017 | 41 | |
| 15 | 2005 | 33 | |
| 16 | 2004 | 76 | |
| 17 | 2002 | 49 | |
| 18 | 2001 | 12 | |
| 19 | 2000 | 153 | |
| 20 | 1998 | 16 |
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.