M Bova

484 total citations · 1 hit paper
9 papers, 434 citations indexed

About

M Bova is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M Bova has authored 9 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M Bova's work include Takotsubo Cardiomyopathy and Associated Phenomena (3 papers), Blood properties and coagulation (1 paper) and Aortic Disease and Treatment Approaches (1 paper). M Bova is often cited by papers focused on Takotsubo Cardiomyopathy and Associated Phenomena (3 papers), Blood properties and coagulation (1 paper) and Aortic Disease and Treatment Approaches (1 paper). M Bova collaborates with scholars based in Italy and Germany. M Bova's co-authors include Domenico Lio, Letizia Scola, Carmela Rita Balistreri, Giusi Irma Forte, Giuseppina Candore, Giuseppina Colonna‐Romano, Calogera Pisano, Giovanni Ruvolo, Marisa Palmeri and Adriana Martorana and has published in prestigious journals such as Cytokine, Biomolecules and Mediators of Inflammation.

In The Last Decade

M Bova

9 papers receiving 429 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Role of TGF-βPathway Polymorphisms in Sporadic Thoracic Aortic Aneurysm: rs900 TGF-β2 Is a Marker of Differential Gender Susceptibility

2014 336 citations Letizia Scola, M Bova et al. Mediators of Inflammation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M Bova Italy	6	125	97	59	51	50	9	434
Hongmei Xu China	14	100 0.8×	78 0.8×	63 1.1×	59 1.2×	34 0.7×	38	448
I‐Ta Lee Taiwan	10	235 1.9×	88 0.9×	35 0.6×	64 1.3×	64 1.3×	11	436
Ricardo Márquez-Velasco Mexico	16	123 1.0×	155 1.6×	108 1.8×	41 0.8×	39 0.8×	42	611
Daniel Okin United States	8	203 1.6×	117 1.2×	64 1.1×	60 1.2×	45 0.9×	15	551
Dongxia Wang China	17	149 1.2×	63 0.6×	69 1.2×	105 2.1×	57 1.1×	47	607
Luciano Ribeiro Filgueiras Brazil	13	160 1.3×	173 1.8×	113 1.9×	87 1.7×	31 0.6×	23	515
Sophie Dogné Belgium	11	125 1.0×	94 1.0×	66 1.1×	117 2.3×	40 0.8×	14	566
Lisa Krämer Germany	8	206 1.6×	149 1.5×	47 0.8×	52 1.0×	56 1.1×	12	499

Countries citing papers authored by M Bova

Since Specialization

Citations

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

Fields of papers citing papers by M Bova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Bova

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

All Works

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9 of 9 papers shown

1.

Lio, Domenico, Letizia Scola, Giusi Irma Forte, et al.. (2025). The Genetic Puzzle of the Stress-Induced Cardiomyopathy (Takotsubo Syndrome): State of Art and Future Perspectives. Biomolecules. 15(7). 926–926. 2 indexed citations

2.

Scola, Letizia, M Bova, Caterina Carollo, et al.. (2022). MIF rs755622 and IL6 rs1800795 Are Implied in Genetic Susceptibility to End-Stage Renal Disease (ESRD). Genes. 13(2). 226–226. 7 indexed citations

3.

Bova, M, et al.. (2017). POTENTIAL NEW GENETIC AND BIOCHEMICAL MARKERS OF CHRONIC KIDNEY FAILURE. Nova Science Publishers (Nova Science Publishers, Inc.). 111–123. 1 indexed citations

4.

Novo, Giuseppina, Marco Guglielmo, Salvatore Evola, et al.. (2014). G-protein-coupled receptor kinase 5 polymorphism and Takotsubo cardiomyopathy. Journal of Cardiovascular Medicine. 16(9). 639–643. 21 indexed citations

5.

Scola, Letizia, M Bova, Giusi Irma Forte, et al.. (2014). Role of TGF-βPathway Polymorphisms in Sporadic Thoracic Aortic Aneurysm: rs900 TGF-β2 Is a Marker of Differential Gender Susceptibility. Mediators of Inflammation. 2014. 1–8. 336 indexed citations breakdown →

6.

Assennato, Pasquale, Salvatore Novo, Domenico Lio, et al.. (2014). Cytokine Polymorphism in Takotsubo Cardiomyopathy. 1 indexed citations

7.

Re, Giuseppe Lo, G Triolo, Letizia Scola, et al.. (2013). Pathological Implications of Th1/Th2 Cytokine Genetic Variants in Behçet’s Disease: Data from a Pilot Study in a Sicilian Population. Biochemical Genetics. 51(11-12). 967–975. 8 indexed citations

8.

Caruso, Marco, Marisa Palmeri, Letizia Scola, et al.. (2012). Myocardial infarction marker levels are influenced by prothrombin and tumor necrosis factor-α gene polymorphisms in young patients. Cytokine. 61(1). 218–222. 11 indexed citations

9.

Balistreri, Carmela Rita, Giuseppina Candore, Giulia Accardi, et al.. (2012). Genetics of longevity. Data from the studies on Sicilian centenarians. Immunity & Ageing. 9(1). 47 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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