G. A. Danieli

1.1k citations
39 papers · 891 · h-index 14

Impact in

Papers in

G. A. Danieli

38 papers receiving 837 citations

Peers

G. A. Danieli
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 351
  • Cellular and Molecular Neuroscience 165
  • Molecular Biology 564
  • Orthopedics and Sports Medicine 61
  • Genetics 58
Replace Paolo Laveder with:
Paolo Laveder Italy
Yeliz Yuva United Kingdom
E. Bürki Switzerland
Svetlana Gorokhova France
David F. Daggett United States
Cécile Peccate France
Z X Lin United States
Hisaomi Kawai Japan
Marina Raffaele di Barletta Italy
Mariya M. Kucherenko Germany
G. A. Danieli relative to Paolo Laveder Italy Paolo Laveder's profile →
Citations per field
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Citations per year

Countries citing papers authored by G. A. Danieli

Since Specialization
Citations

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

Fields of papers citing papers by G. A. Danieli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. A. Danieli. 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 G. A. Danieli. The network helps show where G. A. Danieli may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995171
2 1999117
3 2001105
4 199250
5 199846
6 199644
7 196538
8 199133
9 198732
10 200124
11 199223
12 200321
13 197217
14 197715
15 199914
16 198413
17 199313
18 198713
19 199112
20 199411

About G. A. Danieli

G. A. Danieli is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics and Genetics, having authored 39 papers that have together received 891 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (14 papers), Genetic Neurodegenerative Diseases (6 papers), Cardiomyopathy and Myosin Studies (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Hereditary Neurological Disorders (5 papers), RNA Research and Splicing (3 papers), Cardiovascular Effects of Exercise (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (351 citations), Cellular and Molecular Neuroscience (165 citations), Molecular Biology (564 citations), Orthopedics and Sports Medicine (61 citations) and Genetics (58 citations). G. A. Danieli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Corrado Italo Angelini, Chiara Romualdi, Stefania Bortoluzzi, Gaetano Thiene, Paola Melacini, Alessandra Rampazzo, Andrea Kazemi Nava, Natascia Tiso, Mark Eberhard and Elisa Vian. Their work appears in journals such as Human Genetics, Neuromuscular Disorders, Cellular and Molecular Life Sciences, Journal of Medical Genetics and Genetica.

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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