Beth Bragdon

24 papers receiving 1.2k citations

Beth Bragdon's Hit Papers

Bone Morphogenetic Proteins: A critical review 2010 · 537 citations
5370+5+10Years since publication100200300400500

Peers

Beth Bragdon
Comparison fields: 5 of 96
  • Pathology and Forensic Medicine 206
  • Rheumatology 150
  • Orthopedics and Sports Medicine 79
  • Genetics 97
  • Molecular Biology 593
Replace Yasuhiro Ishidou with:
Yasuhiro Ishidou Japan
James M. Mok United States
Nancy Troiano United States
Angelika Horn Germany
Yasuhito Yahara Japan
Shingo Maeda Japan
Wen Sun China
Jonathan W. Lowery United States
Xuezhong Qin United States
Ugur M. Ayturk United States
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Citations per field
00.5×1.7×
Yasuhiro Ishidou · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Beth Bragdon, 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 Beth Bragdon Line = papers co-authored together Beth Bragdon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bone Morphogenetic Proteins: A critical review
Hit paper breakdown →
2010537
2 2008127
3 2008119
4 201055
5 201841
6 201138
7 201333
8 201132
9 201430
10 201626
11 200926
12 201725
13 201424
14 201520
15 201116
16 201514
17 201113
18 201112
19 201211
20 20227

About Beth Bragdon

Beth Bragdon is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Genetics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (14 papers), Bone Metabolism and Diseases (9 papers), Bone health and treatments (4 papers), Connective tissue disorders research (4 papers), Bone fractures and treatments (4 papers), Caveolin-1 and cellular processes (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (206 citations), Rheumatology (150 citations), Orthopedics and Sports Medicine (79 citations), Genetics (97 citations) and Molecular Biology (593 citations). Beth Bragdon has collaborated with scholars based in United States, Canada and United Kingdom. Frequent 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 Amira I. Hussein. Their work appears in journals such as Journal of Cellular Physiology, Bone, Biophysical Journal, Current Medical Research and Opinion and JBMR Plus.

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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