C. Dall’Osso
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
-
- Muscle Physiology and Disorders 2
- FOXO transcription factor regulation 1
- Genetics 2
- Hemoglobinopathies and Related Disorders 1
- Mesenchymal stem cell research 1
- Co-authors
- Amy J. Wagers (5 shared papers)Manisha Sinha (2 shared papers)Robert E. Gerszten (1 shared paper)Nikolaos Psychogios (1 shared paper)James R. Pancoast (1 shared paper)Britta Swebilius Singer (1 shared paper)Pratyusha Yalamanchi (1 shared paper)Matthew L. Steinhauser (1 shared paper)
- Journals
- Cell Metabolism (1 paper)Endocrinology (1 paper)Human Molecular Genetics (1 paper)Cell (1 paper)The Journal of Pathology (1 paper)
- Partner nations
- United StatesItalyIran
In The Last Decade
C. Dall’Osso
8 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Aging 121
- Physiology 349
- Rheumatology 157
- Genetics 108
- Molecular Biology 653
Countries citing papers authored by C. Dall’Osso
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy Hit paper breakdown → | 2013 | 699 |
| 2 | 2010 | 231 | |
| 3 | 2011 | 107 | |
| 4 | 2012 | 40 | |
| 5 | 2014 | 31 | |
| 6 | 2016 | 23 | |
| 7 | 2013 | 22 | |
| 8 | 2008 | 16 |
About C. Dall’Osso
C. Dall’Osso is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Hematology and Pharmacology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (2 papers), Hemophilia Treatment and Research (1 paper), Trace Elements in Health (1 paper), Apelin-related biomedical research (1 paper), FOXO transcription factor regulation (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Aging (121 citations), Physiology (349 citations), Rheumatology (157 citations), Genetics (108 citations) and Molecular Biology (653 citations). C. Dall’Osso has collaborated with scholars based in United States, Italy and Iran. Frequent co-authors include Amy J. Wagers, Manisha Sinha, Robert E. Gerszten, Nikolaos Psychogios, James R. Pancoast, Britta Swebilius Singer, Pratyusha Yalamanchi, Matthew L. Steinhauser, Jennifer L. Shadrach and Thomas Serwold. Their work appears in journals such as Cell Metabolism, Endocrinology, Human Molecular Genetics, Cell and The Journal of Pathology.
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.