Daniel E. Michele

6.2k citations
69 papers · 4.6k indexed · 1 hit paper · h-index 33

Daniel E. Michele

67 papers receiving 4.6k citations

Hit Papers

Post-translational disruption of dystroglycan–ligand inte...6322002202620102018200400600

Peers

Daniel E. Michele
Comparison fields: 5 of 109
  • Immunology and Allergy 318
  • Molecular Biology 3.5k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Rehabilitation 336
  • Cell Biology 765
Replace Ronald D. Cohn with:
Ronald D. Cohn United States
Yoshihide Sunada Japan
Rita Barresi Italy
Marina Mora Italy
Francesco Muntoni United Kingdom
Haluk Topaloğlu Türkiye
Mathias Mericskay France
Eijiro Ozawa Japan
Beril Talim Türkiye
Lucía Morandi Italy
Daniel E. Michele relative to Ronald D. Cohn United States Ronald D. Cohn's profile →
Citations per field
00.5×1.5×
Ronald D. Cohn · 1×
Citations per year

Countries citing papers authored by Daniel E. Michele

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Michele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Michele. 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 Daniel E. Michele. The network helps show where Daniel E. Michele may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20230
4 202221
5 202021
6 201920
7 201931
8 201429
9 2011184
10 2009122
11 2005257
12 2004214
13 2004204
14 200420
15 200335
16 2002447
17
Post-translational disruption of dystroglycan–ligand interactions in congenital muscular dystrophiesbreakdown →
2002632
18 200182
19 200041
20 19963

About Daniel E. Michele

Daniel E. Michele is a scholar working on Rehabilitation, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 69 papers that have together received 4.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (40 papers), Cardiomyopathy and Myosin Studies (22 papers), Cardiovascular Effects of Exercise (11 papers), Exercise and Physiological Responses (10 papers), Adipose Tissue and Metabolism (7 papers), Viral Infections and Immunology Research (7 papers), Genetic Neurodegenerative Diseases (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology and Allergy (318 citations), Molecular Biology (3.5k citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Daniel E. Michele has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Kevin P. Campbell, Joseph M. Metzger, Steven A. Moore, Fumiaki Saito, Ronald D. Cohn, Motoi Kanagawa, Faris Albayya, Ichizo Nishino, Jakob S. Satz and Rita Barresi. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Journal of Physiology-Heart and Circulatory Physiology, Human Molecular Genetics, Circulation Research and Nature.

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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