Mercedes Campillo
- Toxicology top 2%
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- Neuroscience and Neuropharmacology Research 12
- Neuropeptides and Animal Physiology 7
- Neurotransmitter Receptor Influence on Behavior 5
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 26
- Chemical Synthesis and Analysis 5
- Organic Chemistry top 5%
- Pharmacology top 5%
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- Computational Drug Discovery Methods 5
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- Prenatal Screening and Diagnostics 5
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- Genomic variations and chromosomal abnormalities 5
- Co-authors
- Leonardo PardoMaría L. López-Rodrı́guezBellinda BenhamúXavier DeupíNicole DölkerJosep-Eladı́ BañosFèlix BoschMontserrat Cañellas
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Mercedes Campillo
73 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 133
- Toxicology 108
- Cellular and Molecular Neuroscience 412
- Molecular Biology 1.1k
- Organic Chemistry 378
- Pharmacology 215
Countries citing papers authored by Mercedes Campillo
This map shows the geographic impact of Mercedes Campillo'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 Mercedes Campillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercedes Campillo more than expected).
Fields of papers citing papers by Mercedes Campillo
This network shows the impact of papers produced by Mercedes Campillo. 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 Mercedes Campillo. The network helps show where Mercedes Campillo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mercedes Campillo, 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 | 2023 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 23 | |
| 5 | 2018 | 5 | |
| 6 | 2013 | 12 | |
| 7 | 2013 | 14 | |
| 8 | DUPROSY: Dual probabilistic system for biochemical activity prediction | 2012 | 2 |
| 9 | 2010 | 28 | |
| 10 | 2008 | 44 | |
| 11 | 2007 | 39 | |
| 12 | 2006 | 51 | |
| 13 | 2006 | 46 | |
| 14 | 2005 | 33 | |
| 15 | 2004 | 76 | |
| 16 | 2003 | 13 | |
| 17 | 2002 | 11 | |
| 18 | 2001 | 12 | |
| 19 | 2001 | 1 | |
| 20 | 1997 | 11 |
About Mercedes Campillo
Mercedes Campillo is a scholar working on Cellular and Molecular Neuroscience, Transplantation and Molecular Biology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (26 papers), Neuroscience and Neuropharmacology Research (12 papers), Neuropeptides and Animal Physiology (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Computational Drug Discovery Methods (5 papers), Prenatal Screening and Diagnostics (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Toxicology (108 citations), Cellular and Molecular Neuroscience (412 citations) and Molecular Biology (1.1k citations). Mercedes Campillo has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Leonardo Pardo, María L. López-Rodrı́guez, Bellinda Benhamú, Xavier Deupí, Nicole Dölker, Josep-Eladı́ Baños, Fèlix Bosch, Montserrat Cañellas, J. Navarro and J. Benet. Their work appears in journals such as The Journal of Chemical Physics, Bioinformatics and PLoS ONE.
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.