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
- Bone Metabolism and Diseases
Papers in
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- Growth Hormone and Insulin-like Growth Factors 3
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- David J. Baylink (2 shared papers)Charmaine Richman (1 shared paper)Subburaman Mohan (1 shared paper)N. Srinivasan (1 shared paper)Sneha Mohan (1 shared paper)Cesar R. Libanati (1 shared paper)Frieder Bauss (1 shared paper)Anthony P. Pietropaoli (1 shared paper)
- Journals
- Critical Care Medicine (1 paper)The EMBO Journal (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Growth Hormone & IGF Research (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
C. Dony
6 papers receiving 341 citations
Peers
Comparison fields: 5 of 48
- Endocrinology, Diabetes and Metabolism 181
- Molecular Biology 227
- Cancer Research 45
- Genetics 82
- Orthopedics and Sports Medicine 23
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 | 116 | |
| 2 | 1999 | 113 | |
| 3 | 1995 | 92 | |
| 4 | 2001 | 31 | |
| 5 | 2023 | 4 | |
| 6 | Protocol and Preliminary Data Evaluating rhGDF-5/TCP for Periodontal Wound Healing/Regeneration. | 2009 | 1 |
| 7 | 2025 | 0 |
About C. Dony
C. Dony is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Urology, Orthopedics and Sports Medicine and Physiology, having authored 7 papers that have together received 357 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Bone health and osteoporosis research (1 paper), Metabolism, Diabetes, and Cancer (1 paper), TGF-β signaling in diseases (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Periodontal Regeneration and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (181 citations), Molecular Biology (227 citations), Cancer Research (45 citations), Genetics (82 citations) and Orthopedics and Sports Medicine (23 citations). C. Dony has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include David J. Baylink, Charmaine Richman, Subburaman Mohan, N. Srinivasan, Sneha Mohan, Cesar R. Libanati, Frieder Bauss, Anthony P. Pietropaoli, M. Patricia Rivera and Andreas Stavropoulos. Their work appears in journals such as Critical Care Medicine, The EMBO Journal, The Journal of Clinical Endocrinology & Metabolism, Growth Hormone & IGF Research and Endocrinology.
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.