Alberto Batalla

735 total citations
16 papers, 542 citations indexed

About

Alberto Batalla is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Alberto Batalla has authored 16 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Alberto Batalla's work include Cardiomyopathy and Myosin Studies (4 papers), Cardiovascular Effects of Exercise (3 papers) and Viral Infections and Immunology Research (3 papers). Alberto Batalla is often cited by papers focused on Cardiomyopathy and Myosin Studies (4 papers), Cardiovascular Effects of Exercise (3 papers) and Viral Infections and Immunology Research (3 papers). Alberto Batalla collaborates with scholars based in Spain, Italy and United States. Alberto Batalla's co-authors include Julián R. Reguero, Victoria Álvarez, Eliécer Coto, A. Cortina, Pelayo González, Ruth Álvarez, Mónica Garcı́a-Castro, Benjamín Fernández‐Garcia, Nicolás Terrados and Carmen Rodríguez and has published in prestigious journals such as Blood, Clinical Chemistry and European Journal of Applied Physiology.

In The Last Decade

Alberto Batalla

16 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alberto Batalla Spain	12	299	184	134	89	69	16	542
Wallaya Jongjaroenprasert Thailand	12	112 0.4×	71 0.4×	327 2.4×	128 1.4×	13 0.2×	22	767
Elena Bortoloso Italy	13	142 0.5×	52 0.3×	248 1.9×	134 1.5×	53 0.8×	18	641
Elizabeth Hernberg‐Ståhl United Kingdom	9	164 0.5×	169 0.9×	140 1.0×	702 7.9×	22 0.3×	10	859
Teng Zhao China	12	68 0.2×	205 1.1×	191 1.4×	90 1.0×	18 0.3×	29	493
Camilla A M Glad Sweden	15	83 0.3×	105 0.6×	197 1.5×	345 3.9×	29 0.4×	27	691
Iris Manthey Germany	11	79 0.3×	86 0.5×	201 1.5×	90 1.0×	19 0.3×	15	399
Ritsuko Yamamoto Japan	8	48 0.2×	34 0.2×	177 1.3×	155 1.7×	22 0.3×	14	382
Arved Roovete Sweden	9	53 0.2×	78 0.4×	199 1.5×	340 3.8×	30 0.4×	10	574
Sylvia S. Lim-Tio Australia	8	63 0.2×	169 0.9×	160 1.2×	372 4.2×	12 0.2×	9	520
Joel Rämö Finland	15	125 0.4×	88 0.5×	160 1.2×	99 1.1×	35 0.5×	40	631

Countries citing papers authored by Alberto Batalla

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Batalla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Batalla

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Batalla. A scholar is included among the top collaborators of Alberto Batalla 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 Alberto Batalla. Alberto Batalla 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

1.

Cordero, Alberto, Luis Rodrı́guez Padial, Alberto Batalla, et al.. (2016). Optimal pharmacological treatment and adherence to medication in secondary prevention of cardiovascular events in Spain: Results from the CAPS study. Cardiovascular Therapeutics. 35(2). 13 indexed citations

2.

Álvarez, Victoria, Marı́a Martı́n, Marta Díaz, et al.. (2010). Mitochondrial DNA and TFAM gene variation in early-onset myocardial infarction: Evidence for an association to haplogroup H. Mitochondrion. 11(1). 176–181. 34 indexed citations

3.

Garcı́a-Castro, Mónica, et al.. (2004). Hypertrophic cardiomyopathy linked to homozygosity for a new mutation in the myosin-binding protein C gene (A627V) suggests a dosage effect. International Journal of Cardiology. 102(3). 501–507. 23 indexed citations

4.

González, Pelayo, Antonio Díez‐Juan, Eliécer Coto, et al.. (2004). A single-nucleotide polymorphism in the human p27kip1gene (-838C>A) affects basal promoter activity and the risk of myocardial infarction. BMC Biology. 2(1). 5–5. 17 indexed citations

5.

Garcı́a-Castro, Mónica, et al.. (2003). Detección directa de mutaciones malignas en pacientes con miocardiopatía hipertrófica. Revista Española de Cardiología. 56(10). 1022–1025. 6 indexed citations

6.

González, Pelayo, María G. Castro, Ruth Álvarez, et al.. (2003). Association between genetic variation in the Y chromosome and hypertension in myocardial infarction patients. American Journal of Medical Genetics Part A. 122A(3). 234–237. 16 indexed citations

7.

Coto, Eliécer, Julián R. Reguero, Victoria Álvarez, et al.. (2003). 5-Hydroxytryptamine 5-HT2A receptor and 5-hydroxytryptamine transporter polymorphisms in acute myocardial infarction. Clinical Science. 104(3). 241–241. 46 indexed citations

8.

Garcı́a-Castro, Mónica, Julián R. Reguero, Alberto Batalla, et al.. (2003). Hypertrophic Cardiomyopathy: Low Frequency of Mutations in the β-Myosin Heavy Chain (MYH7) and Cardiac Troponin T (TNNT2) Genes among Spanish Patients. Clinical Chemistry. 49(8). 1279–1285. 58 indexed citations

9.

Garcı́a-Castro, Mónica, et al.. (2003). Detección directa de mutaciones malignas en pacientes con miocardiopatía hipertrófica. Revista Española de Cardiología. 56(10). 1022–1025. 3 indexed citations

10.

Coto, Eliécer, Julián R. Reguero, Victoria Álvarez, et al.. (2003). 5-Hydroxytryptamine 5-HT2A receptor and 5-hydroxytryptamine transporter polymorphisms in acute myocardial infarction. Clinical Science. 104(3). 241–245. 25 indexed citations

11.

González, Pelayo, Ruth Álvarez, Julián R. Reguero, et al.. (2002). Variation in the lipoprotein receptor-related protein, α2-macroglobulin and lipoprotein receptor-associatedprotein genes in relation to plasma lipid levels and riskof early myocardial infarction. Coronary Artery Disease. 13(5). 251–254. 22 indexed citations

12.

Álvarez, Ruth, Pelayo González, Alberto Batalla, et al.. (2001). Association between the NOS3 (−786 T/C) and the ACE (I/D) DNA Genotypes and Early Coronary Artery Disease. Nitric Oxide. 5(4). 343–348. 70 indexed citations

13.

Álvarez, Ruth, Nicolás Terrados, Julián R. Reguero, et al.. (2000). Genetic variation in the renin-angiotensin system and athletic performance. European Journal of Applied Physiology. 82(1-2). 117–120. 144 indexed citations

14.

Batalla, Alberto, Ruth Álvarez, Julián R. Reguero, et al.. (2000). Synergistic Effect between Apolipoprotein E and Angiotensinogen Gene Polymorphisms in the Risk for Early Myocardial Infarction. Clinical Chemistry. 46(12). 1910–1915. 62 indexed citations

15.

Batalla, Alberto, et al.. (1999). Prothrombotic Genetic Risk Factors and Myocardial Infarction at Young Age. Blood. 94(11). 3959–3960. 1 indexed citations

16.

Batalla, Alberto, et al.. (1998). Myocardial infarction with thrombus formation during prolonged intense exercise. International Journal of Cardiology. 65(1). 41–43. 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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