Jesús Giraldo
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- Neuropeptides and Animal Physiology 23
- Neuroscience and Neuropharmacology Research 21
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 73
- Machine Learning in Bioinformatics 11
- Chemical Synthesis and Analysis 10
- Physiology top 5%
- Nitric Oxide and Endothelin Effects 9
- Sensory Systems top 10%
- Endocrine and Autonomic Systems top 10%
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- Photochromic and Fluorescence Chemistry 9
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- Monoclonal and Polyclonal Antibodies Research 9
Jesús Giraldo
117 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 130
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 1.5k
- Physiology 58
- Sensory Systems 50
- Endocrine and Autonomic Systems 69
Countries citing papers authored by Jesús Giraldo
This map shows the geographic impact of Jesús Giraldo'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 Jesús Giraldo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Giraldo more than expected).
Fields of papers citing papers by Jesús Giraldo
This network shows the impact of papers produced by Jesús Giraldo. 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 Jesús Giraldo. The network helps show where Jesús Giraldo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jesús Giraldo, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 6 | |
| 5 | 2019 | 21 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 35 | |
| 8 | 2017 | 52 | |
| 9 | 2017 | 45 | |
| 10 | 2017 | 68 | |
| 11 | 2015 | 11 | |
| 12 | 2015 | 43 | |
| 13 | Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors. | 2013 | 4 |
| 14 | 2011 | 2 | |
| 15 | A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences | 2011 | 2 |
| 16 | Kernel Generative Topographic Mapping | 2010 | 12 |
| 17 | 2006 | 18 | |
| 18 | 2006 | 24 | |
| 19 | 2004 | 180 | |
| 20 | 1998 | 6 |
About Jesús Giraldo
Jesús Giraldo is a scholar working on Cellular and Molecular Neuroscience, Chemical Health and Safety and Molecular Biology, having authored 120 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (73 papers), Neuropeptides and Animal Physiology (23 papers), Neuroscience and Neuropharmacology Research (21 papers), Machine Learning in Bioinformatics (11 papers), Chemical Synthesis and Analysis (10 papers), Nitric Oxide and Endothelin Effects (9 papers), Photochromic and Fluorescence Chemistry (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Molecular Biology (1.5k citations) and Physiology (58 citations). Jesús Giraldo has collaborated with scholars based in Spain, France and United States. Frequent co-authors include James A. R. Dalton, Xavier Rovira, Jean‐Philippe Pin, Elisabet Vila, Amadeu Llebaria, Nuria M. Vivas, Cyril Goudet, Ana M. Briones, David Roche and Albert Badı́a. Their work appears in journals such as British Journal of Pharmacology, Scientific Reports, Drug Discovery Today, Molecular Pharmacology and Journal of Chemical Information and Modeling.
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.