Eduardo Paz

443 total citations
17 papers, 245 citations indexed

About

Eduardo Paz is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Eduardo Paz has authored 17 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 5 papers in Molecular Biology and 5 papers in Psychiatry and Mental health. Recurrent topics in Eduardo Paz's work include Genetic Associations and Epidemiology (9 papers), Genomics and Rare Diseases (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Eduardo Paz is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Genomics and Rare Diseases (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Eduardo Paz collaborates with scholars based in Spain and United Kingdom. Eduardo Paz's co-authors include Javier Costas, Mario Páramo, Manuel Arrojo, Julio Brenlla, Ramón Ramos‐Ríos, Julio Sanjuán, Jesús Hermida, José Luis Ivorra, J. Carlos Tutor and A. Tolosa-Delgado and has published in prestigious journals such as Clinica Chimica Acta, Psychiatry Research and Schizophrenia Research.

In The Last Decade

Eduardo Paz

17 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Paz Spain 10 84 80 74 48 47 17 245
Richard Tang‐Wai Canada 10 54 0.6× 110 1.4× 38 0.5× 50 1.0× 85 1.8× 15 294
Eduardo Sauerbronn Gouvêa Brazil 10 91 1.1× 138 1.7× 86 1.2× 30 0.6× 19 0.4× 16 363
Omri Teltsh Israel 8 62 0.7× 44 0.6× 35 0.5× 26 0.5× 27 0.6× 14 246
Josepha Tiobech United States 10 129 1.5× 65 0.8× 186 2.5× 61 1.3× 11 0.2× 15 382
Dorit Shmueli Israel 8 59 0.7× 129 1.6× 57 0.8× 19 0.4× 83 1.8× 13 326
Judith Bluvstein United States 6 36 0.4× 185 2.3× 71 1.0× 95 2.0× 85 1.8× 10 285
João V. Nani Brazil 10 103 1.2× 82 1.0× 20 0.3× 46 1.0× 20 0.4× 26 288
Sadeq Haouzir France 6 160 1.9× 56 0.7× 52 0.7× 78 1.6× 12 0.3× 13 286
Srisaiyini Kidnapillai Australia 12 108 1.3× 89 1.1× 30 0.4× 28 0.6× 27 0.6× 21 309
Bettina Weigelt Germany 7 104 1.2× 130 1.6× 140 1.9× 99 2.1× 12 0.3× 8 296

Countries citing papers authored by Eduardo Paz

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Paz

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

All Works

17 of 17 papers shown
1.
2.
Martorell, Lourdes, María Dolores Moltó, Javier González‐Peñas, et al.. (2021). A polygenic approach to the association between smoking and schizophrenia. Addiction Biology. 27(1). e13104–e13104. 4 indexed citations
3.
Rodriguez‐Lopez, Julio A., Manuel Arrojo, Eduardo Paz, Mario Páramo, & Javier Costas. (2019). Identification of relevant hub genes for early intervention at gene coexpression modules with altered predicted expression in schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 98. 109815–109815. 17 indexed citations
4.
Rodriguez‐Lopez, Julio A., Beatriz Sobrino, Jorge Amigo, et al.. (2017). Identification of putative second genetic hits in schizophrenia carriers of high-risk copy number variants and resequencing in additional samples. European Archives of Psychiatry and Clinical Neuroscience. 268(6). 585–592. 7 indexed citations
5.
González‐Peñas, Javier, Jorge Amigo, Beatriz Sobrino, et al.. (2016). Targeted resequencing of regulatory regions at schizophrenia risk loci: Role of rare functional variants at chromatin repressive states. Schizophrenia Research. 174(1-3). 10–16. 4 indexed citations
6.
González‐Peñas, Javier, Manuel Arrojo, Eduardo Paz, et al.. (2015). Cumulative role of rare and common putative functional genetic variants at NPAS3 in schizophrenia susceptibility. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(7). 528–535. 4 indexed citations
7.
Suárez‐Rama, Jose Javier, Manuel Arrojo, Beatriz Sobrino, et al.. (2015). Resequencing and association analysis of coding regions at twenty candidate genes suggest a role for rare risk variation at AKAP9 and protective variation at NRXN1 in schizophrenia susceptibility. Journal of Psychiatric Research. 66-67. 38–44. 14 indexed citations
8.
Rodriguez‐Lopez, Julio A., Noa Carrera, Manuel Arrojo, et al.. (2015). An efficient screening method for simultaneous detection of recurrent copy number variants associated with psychiatric disorders. Clinica Chimica Acta. 445. 34–40. 5 indexed citations
9.
Costas, Javier, Jose Javier Suárez‐Rama, Noa Carrera, et al.. (2013). Role of DISC1 Interacting Proteins in Schizophrenia Risk from Genome‐Wide Analysis of Missense SNPs. Annals of Human Genetics. 77(6). 504–512. 21 indexed citations
10.
Mosquera‐Miguel, Ana, Helena Torrell-Galceran, Manuel Arrojo, et al.. (2012). No evidence that major mtDNA European haplogroups confer risk to schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 159B(4). 414–421. 21 indexed citations
11.
Costas, Javier, Julio Sanjuán, Ramón Ramos‐Ríos, et al.. (2011). Interaction between COMT haplotypes and cannabis in schizophrenia: A case-only study in two samples from Spain. Schizophrenia Research. 127(1-3). 22–27. 45 indexed citations
12.
Carrera, Noa, Manuel Arrojo, Eduardo Paz, et al.. (2010). Testing the antagonistic pleiotropy model of schizophrenia susceptibility by analysis of DAOA, PPP1R1B, and APOL1 genes. Psychiatry Research. 179(2). 126–129. 9 indexed citations
13.
Costas, Javier, Julio Sanjuán, Ramón Ramos‐Ríos, et al.. (2010). Heterozygosity at catechol-O-methyltransferase Val158Met and schizophrenia: New data and meta-analysis. Journal of Psychiatric Research. 45(1). 7–14. 57 indexed citations
14.
Paz, Eduardo, et al.. (2008). LDL cholesterol estimation using the Anandaraja's and Friedewald's formulas in schizophrenic patients treated with antipsychotic drugs. Clinical Biochemistry. 41(12). 1002–1007. 9 indexed citations
15.
Paz, Eduardo, et al.. (2008). Evaluation of three dosing models for the prediction of steady-state trough clozapine concentrations. Clinical Biochemistry. 41(7-8). 603–606. 11 indexed citations
16.
Hermida, Jesús, Eduardo Paz, & J. Carlos Tutor. (2008). Clozapine and Norclozapine Concentrations in Serum and Plasma Samples From Schizophrenic Patients. Therapeutic Drug Monitoring. 30(1). 41–45. 12 indexed citations
17.
Paz, Eduardo, et al.. (2007). Renal tubular dysfunction in schizophrenic patients treated with antipsychotic drugs.. PubMed. 53(7-8). 433–8. 1 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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