Jon E. Wergedal

7.3k citations
108 papers · 6.3k · 1 hit paper · h-index 47

Impact in

Papers in

Jon E. Wergedal

108 papers receiving 6k citations

Jon E. Wergedal's Hit Papers

Fluoride Directly Stimulates Proliferation and Alkaline Phosphatase Activity of Bone-Forming Cells 1983 · 532 citations
5320+14+28Years since publication100200300400500

Peers

Jon E. Wergedal
Comparison fields: 5 of 115
  • Orthopedics and Sports Medicine 1.4k
  • Endocrinology, Diabetes and Metabolism 970
  • Nephrology 461
  • Molecular Biology 2.1k
  • Genetics 721
Replace Thomas L. McCarthy with:
Thomas L. McCarthy United States
Bram C. J. van der Eerden Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Jon E. Wergedal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jon E. Wergedal Line = papers co-authored together Jon E. Wergedal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fluoride Directly Stimulates Proliferation and Alkaline Phosphatase Activity of Bone-Forming Cells
Hit paper breakdown →
1983532
2 1989344
3 1975340
4 2007212
5 2009176
6 2003166
7 1999165
8 1974158
9 1990153
10 1990148
11 2005121
12 2003111
13 200496
14 200796
15 196992
16 200791
17 200690
18 200989
19 199088
20 199485

About Jon E. Wergedal

Jon E. Wergedal is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Nephrology, having authored 108 papers that have together received 6.3k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (53 papers), Bone health and osteoporosis research (33 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Alkaline Phosphatase Research Studies (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Bone fractures and treatments (8 papers), Virus-based gene therapy research (6 papers) and Parathyroid Disorders and Treatments (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.4k citations), Endocrinology, Diabetes and Metabolism (970 citations), Nephrology (461 citations), Molecular Biology (2.1k citations) and Genetics (721 citations). Jon E. Wergedal has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Subburaman Mohan, David J. Baylink, David J. Baylink, John R. Farley, K.‐H. William Lau, Donna D. Strong, Thomas A. Linkhart, Christian H. Kasperk, Matilda H.‐C. Sheng 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.

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