Michael Centrella
Impact in
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Bone Metabolism and Diseases 5
- TGF-β signaling in diseases 5
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- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- Thomas L. McCarthy (8 shared papers)Ernesto Canalis (5 shared papers)Sandra Casinghino (2 shared papers)John M. Wozney (1 shared paper)Vicki Rosen (1 shared paper)Tony Pham (1 shared paper)Kenneth K. Iwata (1 shared paper)Peter ten Dijke (1 shared paper)
- Journals
- Molecular and Cellular Biology (5 papers)Connective Tissue Research (2 papers)Journal of Addictive Diseases (1 paper)Endocrinology (1 paper)Trends in Endocrinology and Metabolism (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Michael Centrella
11 papers receiving 542 citations
Peers
Comparison fields: 5 of 82
- Orthopedics and Sports Medicine 55
- Endocrinology, Diabetes and Metabolism 82
- Nephrology 30
- Molecular Biology 306
- Oncology 105
Countries citing papers authored by Michael Centrella
This map shows the geographic impact of Michael Centrella'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 Michael Centrella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Centrella more than expected).
Fields of papers citing papers by Michael Centrella
This network shows the impact of papers produced by Michael Centrella. 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 Michael Centrella. The network helps show where Michael Centrella may publish in the future.
Co-authors
The 17 scholars most cited alongside Michael Centrella, 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 | 1995 | 118 | |
| 2 | 1989 | 93 | |
| 3 | 1990 | 89 | |
| 4 | 2004 | 76 | |
| 5 | 1991 | 70 | |
| 6 | 1994 | 35 | |
| 7 | 1989 | 24 | |
| 8 | 1994 | 18 | |
| 9 | 1991 | 14 | |
| 10 | Alternate signaling pathways selectively regulate binding of insulin-like growth factor I and II on fetal rat bone cells. | 1998 | 13 |
| 11 | 2001 | 2 |
About Michael Centrella
Michael Centrella is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Rheumatology and Genetics, having authored 11 papers that have together received 552 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), TGF-β signaling in diseases (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Bone health and treatments (2 papers), Estrogen and related hormone effects (1 paper), Healthcare professionals’ stress and burnout (1 paper), Digestive system and related health (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (55 citations), Endocrinology, Diabetes and Metabolism (82 citations), Nephrology (30 citations), Molecular Biology (306 citations) and Oncology (105 citations). Michael Centrella has collaborated with scholars based in United States and Germany. Frequent co-authors include Thomas L. McCarthy, Ernesto Canalis, Sandra Casinghino, John M. Wozney, Vicki Rosen, Tony Pham, Kenneth K. Iwata, Peter ten Dijke, C Goddard and Colleen M. Croniger. Their work appears in journals such as Molecular and Cellular Biology, Connective Tissue Research, Journal of Addictive Diseases, Endocrinology and Trends in Endocrinology and Metabolism.
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.