Anna Strano

618 citations
12 papers · 467 · h-index 8

Impact in

Papers in

Anna Strano

12 papers receiving 445 citations

Peers

Anna Strano
Comparison fields: 5 of 78
  • Animal Science and Zoology 115
  • Endocrine and Autonomic Systems 47
  • Infectious Diseases 116
  • Genetics 97
  • Physiology 81
Replace Allyn M. Lambertz with:
Allyn M. Lambertz United States
Tetsuhiro Fukuyama Japan
M. Souhrada United States
Michinobu Hatano Japan
Sharada D. Vangipuram United States
Huijun Liu China
Congxin Huang China
Lampert Pw United States
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Citations per field
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Citations per year

Countries citing papers authored by Anna Strano

Since Specialization
Citations

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

Fields of papers citing papers by Anna Strano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Strano, 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 Anna Strano Line = papers co-authored together Anna Strano links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2020130
2
Recovery and characterization of a coronavirus from military dogs with diarrhea.
1974130
3 202281
4 202050
5 202523
6
Relationship between endothelial dysfunction, intima media thickness and cardiovascular risk factors in asymptomatic subjects.
200522
7 202013
8
Cardiovascular risk factors and dietary habits in secondary school children in southern Italy.
19948
9 20227
10 20051
11
Prevalence of diabetes mellitus and of associated risk factors for atherosclerosis in a randomized population sample of western Sicily. Casteldaccia study.
19891
12 19861

About Anna Strano

Anna Strano is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Physiology, having authored 12 papers that have together received 467 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Pluripotent Stem Cells Research (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Nutritional Studies and Diet (2 papers), CRISPR and Genetic Engineering (2 papers), Health and Well-being Studies (1 paper), Protein Tyrosine Phosphatases (1 paper) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Animal Science and Zoology (115 citations), Endocrine and Autonomic Systems (47 citations), Infectious Diseases (116 citations), Genetics (97 citations) and Physiology (81 citations). Anna Strano has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Kaomei Guan, Kevin P. Keenan, David L. Huxsoll, Ruth H. Marchwicki, Emese Lazar, Pedro Felipe Malacarne, Ingrid Fleming, Mauro Siragusa, Barbara Withers and Akshay Buch. Their work appears in journals such as Stem Cells, Cardiovascular Research, Frontiers in Endocrinology, Pharmaceuticals and Frontiers in Cell and Developmental Biology.

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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