Daniela Danieli‐Betto

2.1k citations
48 papers · 1.6k · h-index 26

Impact in

Papers in

Daniela Danieli‐Betto

48 papers receiving 1.6k citations

Peers

Daniela Danieli‐Betto
Comparison fields: 5 of 91
  • Rehabilitation 198
  • Cardiology and Cardiovascular Medicine 439
  • Cell Biology 305
  • Molecular Biology 1.3k
  • Physiology 357
Replace Robin N. Michel with:
Robin N. Michel Canada
M. Cantini Italy
J. H. van der Meulen United States
T. Soukup Czechia
Richard T. Hinkle United States
David R. Plant Australia
Marta Canato Italy
Cathy M. Gurley United States
Justin M. Percival United States
Raffaella Adami Italy
Daniela Danieli‐Betto relative to Robin N. Michel Canada Robin N. Michel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Danieli‐Betto

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Danieli‐Betto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Danieli‐Betto. 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 Daniela Danieli‐Betto. The network helps show where Daniela Danieli‐Betto may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986174
2 1982111
3 198895
4 200486
5 198585
6 198474
7 200568
8 199054
9 200954
10 200948
11 200544
12 200743
13 200542
14 200940
15 200235
16 199734
17 201434
18 199233
19 199933
20 200532

About Daniela Danieli‐Betto

Daniela Danieli‐Betto is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Cellular and Molecular Neuroscience and Physiology, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (32 papers), Muscle activation and electromyography studies (13 papers), Cardiomyopathy and Myosin Studies (12 papers), Ion channel regulation and function (10 papers), Exercise and Physiological Responses (6 papers), Muscle metabolism and nutrition (6 papers), Neuroscience and Neural Engineering (5 papers) and Sphingolipid Metabolism and Signaling (5 papers). The work is most often cited by research in Rehabilitation (198 citations), Cardiology and Cardiovascular Medicine (439 citations), Cell Biology (305 citations), Molecular Biology (1.3k citations) and Physiology (357 citations). Daniela Danieli‐Betto has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Romeo Betto, Elena Germinario, G. Salviati, M Midrio, Donatella Biral, Luciano Dalla Libera, Aram Megighian, A. Esposito, Ugo Carraro and Dorianna Sandonà. Their work appears in journals such as Journal of Applied Physiology, American Journal of Physiology-Cell Physiology, Biochemical Journal, Pflügers Archiv - European Journal of Physiology and Muscle & Nerve.

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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