C. Dall’Osso

1.6k citations
8 papers · 1.2k · 1 hit paper · h-index 8

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging
    • Telomeres, Telomerase, and Senescence

Papers in

C. Dall’Osso

8 papers receiving 1.2k citations

C. Dall’Osso's Hit Papers

Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy 2013 · 739 citations
7390+4+8Years since publication200400600

Peers

C. Dall’Osso
Comparison fields: 5 of 92
  • Aging 130
  • Physiology 318
  • Rheumatology 144
  • Genetics 94
  • Molecular Biology 623
Replace Angelika Meyer with:
Angelika Meyer Switzerland
James R. Pancoast United States
Johanne V. Pastor United States
Shuichi Yatsuga Japan
David Sala Spain
Cory M. Dungan United States
Takeshige Kunieda Japan
Shahriar Salamat United States
Emanuela Mensa’ Italy
Shingo Koyama Japan
C. Dall’Osso relative to Angelika Meyer Switzerland Angelika Meyer's profile →
Citations per field
00.5×1.5×
Angelika Meyer · 1×
Citations per year

Countries citing papers authored by C. Dall’Osso

Since Specialization
Citations

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

Fields of papers citing papers by C. Dall’Osso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Dall’Osso. 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 C. Dall’Osso. The network helps show where C. Dall’Osso may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy
Hit paper breakdown →
2013739
2 2010243
3 2011109
4 201244
5 201435
6 201629
7 201326
8 200817

About C. Dall’Osso

C. Dall’Osso is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pharmacology, Genetics and Dermatology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (2 papers), RNA Research and Splicing (1 paper), FOXO transcription factor regulation (1 paper), Wound Healing and Treatments (1 paper), T-cell and B-cell Immunology (1 paper), Cancer and Skin Lesions (1 paper), Vitamin D Research Studies (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Aging (130 citations), Physiology (318 citations), Rheumatology (144 citations), Genetics (94 citations) and Molecular Biology (623 citations). C. Dall’Osso has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Amy J. Wagers, Manisha Sinha, Mi‐Jeong Kim, Pratyusha Yalamanchi, Francesco S. Loffredo, Joseph Gannon, James R. Pancoast, Adam J. Hartigan, Steven M. Jay and Matthew L. Steinhauser. Their work appears in journals such as Cold Spring Harbor Symposia on Quantitative Biology, Human Molecular Genetics, Cell Metabolism, Haematologica and Cell.

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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