Mercedes Campillo

2.8k total citations
77 papers, 2.0k citations indexed

About

Mercedes Campillo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Mercedes Campillo has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 12 papers in Organic Chemistry. Recurrent topics in Mercedes Campillo's work include Receptor Mechanisms and Signaling (26 papers), Neuroscience and Neuropharmacology Research (12 papers) and Neuropeptides and Animal Physiology (7 papers). Mercedes Campillo is often cited by papers focused on Receptor Mechanisms and Signaling (26 papers), Neuroscience and Neuropharmacology Research (12 papers) and Neuropeptides and Animal Physiology (7 papers). Mercedes Campillo collaborates with scholars based in Spain, United States and France. Mercedes Campillo's co-authors include Leonardo Pardo, María L. López-Rodrı́guez, Bellinda Benhamú, Xavier Deupí, Nicole Dölker, Montserrat Cañellas, Fèlix Bosch, Josep-Eladı́ Baños, Mireia Olivella and J. Navarro and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and PLoS ONE.

In The Last Decade

Mercedes Campillo

73 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mercedes Campillo Spain 29 1.1k 412 378 215 206 77 2.0k
Carlos Davio Argentina 28 1.3k 1.2× 302 0.7× 590 1.6× 272 1.3× 186 0.9× 117 2.8k
Emidio Camaioni Italy 31 1.6k 1.4× 284 0.7× 568 1.5× 152 0.7× 146 0.7× 113 3.8k
Henry J. Lin United States 31 2.7k 2.5× 551 1.3× 226 0.6× 249 1.2× 504 2.4× 90 4.2k
Nina F. Schor United States 29 1.4k 1.3× 515 1.3× 140 0.4× 108 0.5× 176 0.9× 135 2.7k
Eric B. Fauman United States 25 2.5k 2.3× 233 0.6× 166 0.4× 142 0.7× 382 1.9× 41 3.4k
Jie Yang China 32 2.0k 1.9× 193 0.5× 196 0.5× 144 0.7× 280 1.4× 143 3.2k
Giovanni Greco Italy 33 1.2k 1.1× 364 0.9× 963 2.5× 148 0.7× 93 0.5× 119 2.9k
Philippe Chavatte France 26 1.2k 1.1× 280 0.7× 707 1.9× 504 2.3× 272 1.3× 85 2.5k
Aditi Das United States 35 2.2k 2.0× 206 0.5× 227 0.6× 508 2.4× 179 0.9× 108 3.8k
Peter K. S. Siegl United States 29 2.3k 2.1× 754 1.8× 354 0.9× 188 0.9× 67 0.3× 100 4.0k

Countries citing papers authored by Mercedes Campillo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mercedes Campillo

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

All Works

20 of 20 papers shown
1.
Campillo, Mercedes, et al.. (2023). About a case: affective psychosis and hyperthyroidism. European Psychiatry. 66(S1). S771–S771.
2.
Campillo, Mercedes, et al.. (2023). Music therapy in psychiatric units: evaluating its effectiveness. European Psychiatry. 66(S1). S902–S903. 1 indexed citations
3.
Gómez-Tamayo, José Carlos, et al.. (2021). TMSNP: a web server to predict pathogenesis of missense mutations in the transmembrane region of membrane proteins. NAR Genomics and Bioinformatics. 3(1). lqab008–lqab008. 7 indexed citations
4.
Jiménez, Ramon Cierco, et al.. (2021). The mutational landscape of human olfactory G protein-coupled receptors. BMC Biology. 19(1). 21–21. 23 indexed citations
5.
Olivella, Mireia, Marlous Hoogstraat, Ángel González, et al.. (2018). GPCR-SAS: A web application for statistical analyses on G protein-coupled receptors sequences. PLoS ONE. 13(7). e0199843–e0199843. 5 indexed citations
6.
Campillo, Mercedes, et al.. (2018). Inter-residue interactions in alpha-helical transmembrane proteins. Bioinformatics. 35(15). 2578–2584. 4 indexed citations
7.
Galindo, Liliana, et al.. (2015). P.6.d.024 Reviewing “apinaca”, an emergent synthetic cannabinoid receptor agonist. European Neuropsychopharmacology. 25. S626–S626. 1 indexed citations
8.
Sidorova, Julia, et al.. (2012). DUPROSY: Dual probabilistic system for biochemical activity prediction. 2. 800–803. 2 indexed citations
9.
Ortega‐Gutiérrez, Silvia, Pedro Serrano, Iván R. Torrecillas, et al.. (2011). Development of Non-Peptide Ligands of Growth Factor Receptor-Bound Protein 2-Src Homology 2 Domain Using Molecular Modeling and NMR Spectroscopy. Journal of Medicinal Chemistry. 54(4). 1096–1100. 5 indexed citations
10.
Caltabiano, Gianluigi, Mercedes Campillo, Anne De Leener, et al.. (2008). The specificity of binding of glycoprotein hormones to their receptors. Cellular and Molecular Life Sciences. 65(16). 2484–2492. 44 indexed citations
11.
Deupí, Xavier, Nicole Dölker, María L. López-Rodrı́guez, et al.. (2007). Structural Models of Class A G Protein-Coupled Receptors as a Tool for Drug Design: Insights on Transmembrane Bundle Plasticity. Current Topics in Medicinal Chemistry. 7(10). 991–998. 39 indexed citations
12.
Pujol, Aïda, J. Benet, C. Staessen, et al.. (2006). The importance of aneuploidy screening in reciprocal translocation carriers. Reproduction. 131(6). 1025–1035. 41 indexed citations
13.
Jiménez, Ignacio A., Mercedes Campillo, Isabel L. Bazzocchi, et al.. (2005). Dihidro-β-Agarofuran Sesquiterpenes: A New Class of Reversal Agents of the Multidrug Resistance Phenotype Mediated by P-Glycoprotein in the Protozoan Parasite Leishmania. Current Pharmaceutical Design. 11(24). 3125–3139. 33 indexed citations
14.
Deupí, Xavier, Mireia Olivella, Cédric Govaerts, et al.. (2004). Ser and Thr Residues Modulate the Conformation of Pro-Kinked Transmembrane α-Helices. Biophysical Journal. 86(1). 105–115. 76 indexed citations
15.
Carballeira, José Daniel, Emilio Fernández Álvarez, Mercedes Campillo, Leonardo Pardo, & J.V. Sinisterra. (2004). Diplogelasinospora grovesii IMI 171018, a new whole cell biocatalyst for the stereoselective reduction of ketones. Tetrahedron Asymmetry. 15(6). 951–962. 28 indexed citations
16.
López-Rodrı́guez, María L., et al.. (2001). 3-D-QSAR/CoMFA and recognition models of benzimidazole derivatives at the 5-HT4 receptor. Bioorganic & Medicinal Chemistry Letters. 11(21). 2807–2811. 12 indexed citations
17.
18.
Pardo, Leonardo, Mercedes Campillo, & Jesús Giraldo. (1997). The effect of the molecular mechanism of G protein-coupled receptor activation on the process of signal transduction. European Journal of Pharmacology. 335(1). 73–87. 11 indexed citations
19.
Vigués, Francesc, Santiago Ambrosio, Ramón Bartrons, et al.. (1994). Effect of different preservation solutions on adenine nucleotide content and metabolism in human kidney transplantation. Transplant International. 7(2). 96–100. 2 indexed citations
20.
Fraga, S., et al.. (1989). Atomic energy levels from configuration interaction calculations with relativistic corrections. International Journal of Quantum Chemistry. 35(2). 325–330. 2 indexed citations

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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