C. Dony
Impact in
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- Growth Hormone and Insulin-like Growth Factors
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- Developmental Biology and Gene Regulation
- Metabolism, Diabetes, and Cancer
- TGF-β signaling in diseases
- Congenital heart defects research
Papers in
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- Growth Hormone and Insulin-like Growth Factors 3
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- TGF-β signaling in diseases 1
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- David J. Baylink (2 shared papers)Subburaman Mohan (1 shared paper)Charmaine Richman (1 shared paper)Sneha Mohan (1 shared paper)N. Srinivasan (1 shared paper)Cesar Libanati (1 shared paper)Frieder Bauss (1 shared paper)Michael Nead (1 shared paper)
- Journals
- Clinics in Chest Medicine (1 paper)The EMBO Journal (1 paper)Endocrinology (1 paper)Growth Hormone & IGF Research (1 paper)Critical Care Medicine (1 paper)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
C. Dony
7 papers receiving 331 citations
Peers
Comparison fields: 5 of 50
- Endocrinology, Diabetes and Metabolism 173
- Molecular Biology 232
- Genetics 88
- Cancer Research 45
- Orthopedics and Sports Medicine 24
Countries citing papers authored by C. Dony
This map shows the geographic impact of C. Dony'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. Dony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Dony more than expected).
Fields of papers citing papers by C. Dony
This network shows the impact of papers produced by C. Dony. 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. Dony. The network helps show where C. Dony may publish in the future.
Co-authors
The 19 scholars most cited alongside C. Dony, 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 | 1987 | 118 | |
| 2 | 1999 | 99 | |
| 3 | 1995 | 87 | |
| 4 | 2001 | 31 | |
| 5 | 2023 | 2 | |
| 6 | Protocol and Preliminary Data Evaluating rhGDF-5/TCP for Periodontal Wound Healing/Regeneration. | 2009 | 1 |
| 7 | 2022 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About C. Dony
C. Dony is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 339 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), TGF-β signaling in diseases (1 paper), Bone health and osteoporosis research (1 paper), Medical Imaging and Pathology Studies (1 paper), Pleural and Pulmonary Diseases (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Molecular Biology (232 citations), Genetics (88 citations), Cancer Research (45 citations) and Orthopedics and Sports Medicine (24 citations). C. Dony has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include David J. Baylink, Subburaman Mohan, Charmaine Richman, Sneha Mohan, N. Srinivasan, Cesar Libanati, Frieder Bauss, Michael Nead, Anthony P. Pietropaoli and Péter Windisch. Their work appears in journals such as Clinics in Chest Medicine, The EMBO Journal, Endocrinology, Growth Hormone & IGF Research and Critical Care Medicine.
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.