M Bova

487 citations
9 papers · 434 · 1 hit paper · h-index 6

Impact in

    • Genetics, Aging, and Longevity in Model Organisms
    • Immune Response and Inflammation

Papers in

M Bova

9 papers receiving 429 citations

M Bova's Hit Papers

Role of TGF-βPathway Polymorphisms in Sporadic Thoracic Aortic Aneurysm: rs900 TGF-β2 Is a Marker of Differential Gender Susceptibility 2014 · 336 citations
3360+4+8Years since publication100200300

Peers

M Bova
Comparison fields: 5 of 94
  • Aging 14
  • Immunology 82
  • Biological Psychiatry 6
  • Biochemistry 14
  • Cardiology and Cardiovascular Medicine 44
Replace Alexis White with:
Alexis White United States
Ivy Ka Man Law United States
Ruzhi Deng China
Nora Raulien Germany
Zhaoyan Gu China
Adam Kim United States
Thomas S. Davies United Kingdom
Dongxia Wang China
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M Bova relative to Alexis White United States Alexis White's profile →
Citations per field
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Alexis White · 1×
Citations per year

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-authors

The 25 scholars most cited alongside M Bova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Bova Line = papers co-authored together M Bova links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Role of TGF-βPathway Polymorphisms in Sporadic Thoracic Aortic Aneurysm: rs900 TGF-β2 Is a Marker of Differential Gender Susceptibility
Hit paper breakdown →
2014336
2 201247
3 201421
4 201211
5 20138
6 20227
7 20252
8
Cytokine Polymorphism in Takotsubo Cardiomyopathy
20141
9
POTENTIAL NEW GENETIC AND BIOCHEMICAL MARKERS OF CHRONIC KIDNEY FAILURE
20171

About M Bova

M Bova is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Ophthalmology, having authored 9 papers that have together received 434 indexed citations. Recurring topics across this work include Takotsubo Cardiomyopathy and Associated Phenomena (3 papers), Blood properties and coagulation (1 paper), Epigenetics and DNA Methylation (1 paper), Aortic Disease and Treatment Approaches (1 paper), Aortic aneurysm repair treatments (1 paper), Mitochondrial Function and Pathology (1 paper), Acute Myocardial Infarction Research (1 paper) and Pericarditis and Cardiac Tamponade (1 paper). The work is most often cited by research in Aging (14 citations), Immunology (82 citations), Biological Psychiatry (6 citations), Biochemistry (14 citations) and Cardiology and Cardiovascular Medicine (44 citations). M Bova has collaborated with scholars based in Italy and Germany. Frequent co-authors include Domenico Lio, Letizia Scola, Giusi Irma Forte, Carmela Rita Balistreri, Giuseppina Candore, Giuseppina Colonna‐Romano, Giovanni Ruvolo, Calogera Pisano, Marisa Palmeri and Matteo Bulati. Their work appears in journals such as Cytokine, Genes, Immunity & Ageing, Biochemical Genetics and Biomolecules.

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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