Fredrick M. Pavalko
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research 19
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 5
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 19
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- Bone health and osteoporosis research 8
- Molecular Biology top 5%
- Bone Metabolism and Diseases 17
- Wnt/β-catenin signaling in development and cancer 5
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- Protease and Inhibitor Mechanisms 5
- NF-κB Signaling Pathways 5
- Co-authors
- Keith BurridgeCarol OteyCharles H. TurnerSuzanne M. PonikRandall L. DuncanNeal X. ChenPatricia J. GallagherSerge Laroche
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (5 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Fredrick M. Pavalko
58 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology and Allergy 1.3k
- Aging 175
- Cell Biology 1.6k
- Orthopedics and Sports Medicine 427
- Molecular Biology 1.9k
Countries citing papers authored by Fredrick M. Pavalko
This map shows the geographic impact of Fredrick M. Pavalko'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 Fredrick M. Pavalko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fredrick M. Pavalko more than expected).
Fields of papers citing papers by Fredrick M. Pavalko
This network shows the impact of papers produced by Fredrick M. Pavalko. 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 Fredrick M. Pavalko. The network helps show where Fredrick M. Pavalko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fredrick M. Pavalko, 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 | 2020 | 9 | |
| 2 | 2019 | 27 | |
| 3 | 2014 | 14 | |
| 4 | 2012 | 5 | |
| 5 | 2011 | 13 | |
| 6 | 2010 | 19 | |
| 7 | 2010 | 33 | |
| 8 | Mechanical loading by fluid shear stress enhances IGF-1 receptor signaling in osteoblasts in a PKCzeta-dependent manner. | 2007 | 31 |
| 9 | 2007 | 20 | |
| 10 | 2006 | 63 | |
| 11 | 2006 | 37 | |
| 12 | 2006 | 95 | |
| 13 | 2003 | 69 | |
| 14 | 2002 | 81 | |
| 15 | 1998 | 271 | |
| 16 | 1996 | 28 | |
| 17 | 1995 | 84 | |
| 18 | 1993 | 152 | |
| 19 | 1990 | 100 | |
| 20 | 1989 | 5 |
About Fredrick M. Pavalko
Fredrick M. Pavalko is a scholar working on Immunology and Allergy, Aging and Cell Biology, having authored 60 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (19 papers), Cell Adhesion Molecules Research (19 papers), Bone Metabolism and Diseases (17 papers), Bone health and osteoporosis research (8 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Protease and Inhibitor Mechanisms (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Immunology and Allergy (1.3k citations), Aging (175 citations) and Cell Biology (1.6k citations). Fredrick M. Pavalko has collaborated with scholars based in United States, France and China. Frequent co-authors include Keith Burridge, Carol Otey, Charles H. Turner, Suzanne M. Ponik, Randall L. Duncan, Neal X. Chen, Patricia J. Gallagher, Serge Laroche, David B. Burr and Joseph P. Bidwell. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.
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.