Jon E. Wergedal
- Orthopedics and Sports Medicine top 0.5%
- Bone health and osteoporosis research 26
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- Growth Hormone and Insulin-like Growth Factors 21
- Alkaline Phosphatase Research Studies 13
- Nephrology top 2%
- Genetics top 1%
- Genetic Mapping and Diversity in Plants and Animals 8
- Rheumatology top 1%
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- Bone Metabolism and Diseases 31
- TGF-β signaling in diseases 10
- Muscle Physiology and Disorders 9
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- Bone health and treatments 19
- Co-authors
- David J. BaylinkSubburaman MohanJonathan FarleyK.‐H. William LauDonna D. StrongThomas A. LinkhartMatilda H.‐C. ShengChristian Kasperk
- Journals
- Journal of Bone and Mineral Research (14 papers)Endocrinology (9 papers)Calcified Tissue International (9 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jon E. Wergedal
109 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Orthopedics and Sports Medicine 1.2k
- Endocrinology, Diabetes and Metabolism 1.3k
- Nephrology 329
- Genetics 1.2k
- Rheumatology 646
Countries citing papers authored by Jon E. Wergedal
This map shows the geographic impact of Jon E. Wergedal'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 Jon E. Wergedal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon E. Wergedal more than expected).
Fields of papers citing papers by Jon E. Wergedal
This network shows the impact of papers produced by Jon E. Wergedal. 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 Jon E. Wergedal. The network helps show where Jon E. Wergedal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jon E. Wergedal, 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 | 2014 | 6 | |
| 2 | 2014 | 7 | |
| 3 | 2013 | 17 | |
| 4 | 2012 | 27 | |
| 5 | 2012 | 24 | |
| 6 | 2008 | 2 | |
| 7 | 2008 | 19 | |
| 8 | 2008 | 37 | |
| 9 | 2008 | 26 | |
| 10 | 2007 | 44 | |
| 11 | 2006 | 88 | |
| 12 | 2005 | 50 | |
| 13 | 2004 | 52 | |
| 14 | 2002 | 27 | |
| 15 | 1997 | 70 | |
| 16 | 1992 | 48 | |
| 17 | 1992 | 43 | |
| 18 | 1991 | 65 | |
| 19 | 1991 | 51 | |
| 20 | 1990 | 34 |
About Jon E. Wergedal
Jon E. Wergedal is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 109 papers that have together received 5.9k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (31 papers), Bone health and osteoporosis research (26 papers), Growth Hormone and Insulin-like Growth Factors (21 papers), Bone health and treatments (19 papers), Alkaline Phosphatase Research Studies (13 papers), TGF-β signaling in diseases (10 papers), Muscle Physiology and Disorders (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Nephrology (329 citations). Jon E. Wergedal has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David J. Baylink, Subburaman Mohan, David J. Baylink, Jonathan Farley, K.‐H. William Lau, Donna D. Strong, Thomas A. Linkhart, Matilda H.‐C. Sheng, Christian Kasperk and Chandrasekhar Kesavan. Their work appears in journals such as Journal of Bone and Mineral Research, Endocrinology, Calcified Tissue International, Bone 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.