Beth Bragdon

1.6k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Beth Bragdon is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Beth Bragdon has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in Beth Bragdon's work include TGF-β signaling in diseases (14 papers), Bone Metabolism and Diseases (9 papers) and Bone health and treatments (4 papers). Beth Bragdon is often cited by papers focused on TGF-β signaling in diseases (14 papers), Bone Metabolism and Diseases (9 papers) and Bone health and treatments (4 papers). Beth Bragdon collaborates with scholars based in United States, Canada and United Kingdom. Beth Bragdon's co-authors include Anja Nohe, Oleksandra Moseychuk, Daniel King, JoAnne Julian, Louis C. Gerstenfeld, Chelsea S. Bahney, Nils O. Petersen, Wesley G. Beamer, Randall L. Duncan and Kira Young and has published in prestigious journals such as Biophysical Journal, Journal of Bone and Mineral Research and Journal of Cellular Physiology.

In The Last Decade

Beth Bragdon

24 papers receiving 1.2k citations

Hit Papers

Bone Morphogenetic Proteins: A critical review 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beth Bragdon United States 15 631 222 208 164 149 24 1.2k
Marjolein van Driel Netherlands 22 602 1.0× 501 2.3× 311 1.5× 151 0.9× 112 0.8× 32 1.5k
Yasuhito Yahara Japan 17 579 0.9× 158 0.7× 145 0.7× 326 2.0× 132 0.9× 50 1.2k
Xuezhong Qin United States 21 746 1.2× 93 0.4× 173 0.8× 82 0.5× 192 1.3× 36 1.5k
Angela Oranger Italy 23 738 1.2× 83 0.4× 444 2.1× 159 1.0× 115 0.8× 52 1.6k
Tian-Fang Li China 22 702 1.1× 121 0.5× 361 1.7× 388 2.4× 107 0.7× 54 1.6k
Jackie A. Fretz United States 18 602 1.0× 241 1.1× 239 1.1× 55 0.3× 170 1.1× 24 1.6k
Yanfeng Wu China 22 853 1.4× 159 0.7× 162 0.8× 347 2.1× 71 0.5× 73 1.7k
Yifei Du China 19 464 0.7× 86 0.4× 136 0.7× 105 0.6× 234 1.6× 59 994
Akihiro Hosoya Japan 24 827 1.3× 85 0.4× 266 1.3× 258 1.6× 109 0.7× 71 1.4k
Robert J. Tower United States 20 544 0.9× 56 0.3× 179 0.9× 277 1.7× 119 0.8× 58 1.2k

Countries citing papers authored by Beth Bragdon

Since Specialization
Citations

This map shows the geographic impact of Beth Bragdon'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 Beth Bragdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Bragdon more than expected).

Fields of papers citing papers by Beth Bragdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth Bragdon. 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 Beth Bragdon. The network helps show where Beth Bragdon may publish in the future.

Co-authorship network of co-authors of Beth Bragdon

This figure shows the co-authorship network connecting the top 25 collaborators of Beth Bragdon. A scholar is included among the top collaborators of Beth Bragdon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beth Bragdon. Beth Bragdon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Yu, et al.. (2023). Prx1 cell subpopulations identified in various tissues with diverse quiescence and activation ability following fracture and BMP2 stimulation. Frontiers in Physiology. 14. 1106474–1106474. 2 indexed citations
2.
Hussein, Amira I., Margaret E. Cooke, Beth Bragdon, et al.. (2023). Oxidative metabolism is impaired by phosphate deficiency during fracture healing and is mechanistically related to BMP induced chondrocyte differentiation. Bone Reports. 18. 101657–101657. 2 indexed citations
3.
Bragdon, Beth, et al.. (2022). Post natal expression of Prx1 labels appendicular restricted progenitor cell populations of multiple tissues. Journal of Cellular Physiology. 237(5). 2550–2560. 7 indexed citations
4.
Lu, Darlene, Serkalem Demissie, Adam C. Gower, et al.. (2021). Temporal and Quantitative Transcriptomic Differences Define Sexual Dimorphism in Murine Postnatal Bone Aging. JBMR Plus. 6(2). e10579–e10579. 5 indexed citations
5.
Bragdon, Beth & Chelsea S. Bahney. (2018). Origin of Reparative Stem Cells in Fracture Healing. Current Osteoporosis Reports. 16(4). 490–503. 40 indexed citations
6.
Bragdon, Beth, et al.. (2017). Earliest phases of chondrogenesis are dependent upon angiogenesis during ectopic bone formation in mice. Bone. 101. 49–61. 24 indexed citations
8.
Bragdon, Beth, et al.. (2015). Mouse Models of Bone Healing: Fracture, Marrow Ablation, and Distraction Osteogenesis. PubMed. 5(1). 35–49. 20 indexed citations
9.
Akkiraju, Hemanth, Chris V. Bowen, Beth Bragdon, et al.. (2014). Systemic Injection of CK2.3, a Novel Peptide Acting Downstream of Bone Morphogenetic Protein Receptor BMPRIa, Leads to Increased Trabecular Bone Mass. Journal of Orthopaedic Research®. 33(2). 208–215. 24 indexed citations
10.
Moseychuk, Oleksandra, Hemanth Akkiraju, Joyita Dutta, et al.. (2013). Inhibition of CK2 binding to BMPRIa induces C2C12 differentiation into osteoblasts and adipocytes. Journal of Cell Communication and Signaling. 7(4). 265–278. 31 indexed citations
11.
Bragdon, Beth, et al.. (2012). Caveolae regulate smad signaling as verified by novel imaging and system biology approaches. Journal of Cellular Physiology. 228(5). 1060–1069. 11 indexed citations
12.
Bragdon, Beth, et al.. (2011). Bone morphogenetic protein receptor type Ia localization causes increased BMP2 signaling in mice exhibiting increased peak bone mass phenotype. Journal of Cellular Physiology. 227(7). 2870–2879. 12 indexed citations
13.
Adams, Elizabeth L., et al.. (2011). Initiation of BMP2 signaling in domains on the plasma membrane. Journal of Cellular Physiology. 227(7). 2880–2888. 38 indexed citations
14.
Bragdon, Beth, Oleksandra Moseychuk, Christopher Price, et al.. (2011). Casein kinase 2 regulates in vivo bone formation through its interaction with bone morphogenetic protein receptor type Ia. Bone. 49(5). 944–954. 32 indexed citations
15.
Bragdon, Beth, et al.. (2011). Altered plasma membrane dynamics of bone morphogenetic protein receptor type Ia in a low bone mass mouse model. Bone. 50(1). 189–199. 16 indexed citations
16.
Bragdon, Beth, Oleksandra Moseychuk, Daniel King, et al.. (2010). Casein Kinase 2 β-Subunit Is a Regulator of Bone Morphogenetic Protein 2 Signaling. Biophysical Journal. 99(3). 897–904. 55 indexed citations
17.
Bragdon, Beth, et al.. (2010). Bone Morphogenetic Proteins: A critical review. Cellular Signalling. 23(4). 609–620. 533 indexed citations breakdown →
18.
Bragdon, Beth, et al.. (2009). FRET Reveals Novel Protein-Receptor Interaction of Bone Morphogenetic Proteins Receptors and Adaptor Protein 2 at the Cell Surface. Biophysical Journal. 97(5). 1428–1435. 26 indexed citations
19.
Bragdon, Beth, et al.. (2008). Molecular basis of the potential of vitamin D to prevent cancer. Current Medical Research and Opinion. 24(1). 139–149. 119 indexed citations
20.
Bragdon, Beth, et al.. (2008). Molecular basis of the potential of vitamin D to prevent cancer. Current Medical Research and Opinion. 24(1). 139–149. 127 indexed citations

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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