Martín Ortiz-Genga

1.8k total citations
16 papers, 214 citations indexed

About

Martín Ortiz-Genga is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Martín Ortiz-Genga has authored 16 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Martín Ortiz-Genga's work include Cardiomyopathy and Myosin Studies (12 papers), Viral Infections and Immunology Research (4 papers) and Cardiovascular Effects of Exercise (4 papers). Martín Ortiz-Genga is often cited by papers focused on Cardiomyopathy and Myosin Studies (12 papers), Viral Infections and Immunology Research (4 papers) and Cardiovascular Effects of Exercise (4 papers). Martín Ortiz-Genga collaborates with scholars based in Spain, United Kingdom and Israel. Martín Ortiz-Genga's co-authors include Lorenzo Monserrat, Roberto Barriales‐Villa, Juan R. Gimeno, Diego García-Giustiniani, Juan Jiménez‐Jáimez, Juan José Sánchez Muñoz, Miguel Álvarez, Luís Tercedor, William J. McKenna and María José Oliva‐Sandoval and has published in prestigious journals such as PLoS ONE, Circulation Research and European Heart Journal.

In The Last Decade

Martín Ortiz-Genga

15 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martín Ortiz-Genga Spain	9	195	86	21	12	11	16	214
Emma S. Singer Australia	9	136 0.7×	100 1.2×	18 0.9×	6 0.5×	18 1.6×	12	194
J.F. Hermans-van Ast Netherlands	5	366 1.9×	172 2.0×	15 0.7×	8 0.7×	9 0.8×	5	421
Martín Ortiz Spain	7	267 1.4×	97 1.1×	12 0.6×	3 0.3×	10 0.9×	11	281
Wouter P. te Rijdt Netherlands	10	299 1.5×	85 1.0×	11 0.5×	9 0.8×	14 1.3×	17	348
Mireia Alcalde Spain	11	230 1.2×	59 0.7×	6 0.3×	16 1.3×	24 2.2×	24	287
Freyja H.M. van Lint Netherlands	8	192 1.0×	31 0.4×	13 0.6×	6 0.5×	26 2.4×	11	252
Elspeth Brown United Kingdom	4	164 0.8×	80 0.9×	39 1.9×	2 0.2×	5 0.5×	6	184
Maria Bueno Marinas Italy	8	259 1.3×	29 0.3×	11 0.5×	7 0.6×	7 0.6×	23	281
Kristen George Canada	7	137 0.7×	71 0.8×	42 2.0×	1 0.1×	9 0.8×	14	179
Johanna C. Moolman South Africa	7	483 2.5×	202 2.3×	72 3.4×	4 0.3×	12 1.1×	8	537

Countries citing papers authored by Martín Ortiz-Genga

Since Specialization

Citations

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

Fields of papers citing papers by Martín Ortiz-Genga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martín Ortiz-Genga. 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 Martín Ortiz-Genga. The network helps show where Martín Ortiz-Genga may publish in the future.

Co-authorship network of co-authors of Martín Ortiz-Genga

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

All Works

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16 of 16 papers shown

Larrañaga‐Moreira, José M., Yvonne Richaud‐Patín, Léa Pourchet, et al.. (2023). iPSC-Based Modeling of Variable Clinical Presentation in Hypertrophic Cardiomyopathy. Circulation Research. 133(2). 108–119. 11 indexed citations

Fernández, Xusto, et al.. (2022). Narrowing Beta-myosin hot spots in its association with hypertrophic cardiomyopathy. European Heart Journal. 43(Supplement_2). 1 indexed citations

Peña‐Peña, María Luisa, Juan Pablo Ochoa, Roberto Barriales‐Villa, et al.. (2021). Clinical utility of genetic testing in patients with dilated cardiomyopathy. Medicina Clínica (English Edition). 156(10). 485–495. 2 indexed citations

Fernández, Xusto, et al.. (2021). Specific actin (ACTC1) missense variants are associated with different overlapping clinical phenotypes and outcomes. European Heart Journal. 42(Supplement_1).

Salazar‐Mendiguchía, Joel, Roberto Barriales‐Villa, Luís R. Lopes, et al.. (2020). The p.(Cys150Tyr) variant in CSRP3 is associated with late-onset hypertrophic cardiomyopathy in heterozygous individuals. European Journal of Medical Genetics. 63(12). 104079–104079. 12 indexed citations

Oz, Shimrit, Hagith Yonath, Efrat Ofek, et al.. (2020). Reduction in Filamin C transcript is associated with arrhythmogenic cardiomyopathy in Ashkenazi Jews. International Journal of Cardiology. 317. 133–138. 11 indexed citations

Peña‐Peña, María Luisa, Juan Pablo Ochoa, Roberto Barriales‐Villa, et al.. (2020). Prognostic implications of pathogenic truncating variants in the TTN gene. International Journal of Cardiology. 316. 180–183. 3 indexed citations

Peña‐Peña, María Luisa, Juan Pablo Ochoa, Roberto Barriales‐Villa, et al.. (2020). Utilidad clínica del estudio genético en pacientes con miocardiopatía dilatada. Medicina Clínica. 156(10). 485–495. 2 indexed citations

Ortiz-Genga, Martín, et al.. (2020). Novel Filamin C missense mutation associated with severe restrictive cardiomyopathy overlapping with left ventricular non-compaction. European Heart Journal. 41(Supplement_2). 3 indexed citations

10.

Cicerchia, Marcos, et al.. (2018). 4381Prognostic implications of pathogenic truncating variants in the TTN gene. European Heart Journal. 39(suppl_1). 3 indexed citations

11.

Jiménez‐Jáimez, Juan, Julián Palomino Doza, Rosa Macías‐Ruiz, et al.. (2016). Calmodulin 2 Mutation N98S Is Associated with Unexplained Cardiac Arrest in Infants Due to Low Clinical Penetrance Electrical Disorders. PLoS ONE. 11(4). e0153851–e0153851. 30 indexed citations

12.

O’Mahony, Constantinos, Fatima Jichi, Lorenzo Monserrat, et al.. (2016). Inverted U-Shaped Relation Between the Risk of Sudden Cardiac Death and Maximal Left Ventricular Wall Thickness in Hypertrophic Cardiomyopathy. Circulation Arrhythmia and Electrophysiology. 9(6). 14 indexed citations

13.

Jiménez‐Jáimez, Juan, Rafaél Peinado, Juan José Sánchez Muñoz, et al.. (2015). Diagnostic Approach to Unexplained Cardiac Arrest (from the FIVI-Gen Study). The American Journal of Cardiology. 116(6). 894–899. 35 indexed citations

14.

García-Giustiniani, Diego, Michael Arad, Martín Ortiz-Genga, et al.. (2015). Phenotype and prognostic correlations of the converter region mutations affecting the β myosin heavy chain. Heart. 101(13). 1047–1053. 46 indexed citations

15.

Monserrat, Lorenzo, Martín Ortiz-Genga, Diego García-Giustiniani, et al.. (2014). Genetics of Cardiomyopathies: Novel Perspectives with Next Generation Sequencing. Current Pharmaceutical Design. 21(4). 418–430. 15 indexed citations

16.

López-Ayala, José María, Martín Ortiz-Genga, David López-Cuenca, et al.. (2014). A mutation in the Z‐line Cypher/ZASP protein is associated with arrhythmogenic right ventricular cardiomyopathy. Clinical Genetics. 88(2). 172–176. 26 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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