Beth Marosy

994 citations
15 papers · 469 · h-index 10

Impact in

  • Genetics top 10%
    • Connective tissue disorders research
    • Genomic variations and chromosomal abnormalities
  • Surgery top 10%
    • Scoliosis diagnosis and treatment
    • Spinal Fractures and Fixation Techniques
    • Pelvic and Acetabular Injuries

Papers in

    • Connective tissue disorders research 8
    • Genomic variations and chromosomal abnormalities 2
    • Scoliosis diagnosis and treatment 9

Beth Marosy

15 papers receiving 444 citations

Peers

Beth Marosy
Comparison fields: 5 of 52
  • Genetics 302
  • Surgery 337
  • Pathology and Forensic Medicine 112
  • Anatomy 6
  • Molecular Biology 164
Replace V. Kim Horton with:
V. Kim Horton United States
Maria‐Mercè Garcia‐Barceló Hong Kong
Sung-Hong Joe South Korea
Qiao-Yi Chen United States
Kimihiko Sawakami Japan
Ryan J. Geusz United States
Patrick Lo Australia
Mark E. Hutchin United States
Kelly A. Duffy United States
Gocha Shatirishvili United States
Beth Marosy relative to V. Kim Horton United States V. Kim Horton's profile →
Citations per field
00.5×6.6×
V. Kim Horton · 1×
Citations per year

Countries citing papers authored by Beth Marosy

Since Specialization
Citations

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

Fields of papers citing papers by Beth Marosy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2003123
2 2005110
3 200674
4 201133
5 200629
6 200622
7 201418
8 201013
9 201610
10 20129
11 20108
12 20137
13 20226
14
20034
15 20173

About Beth Marosy

Beth Marosy is a scholar working on Genetics, Surgery, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 15 papers that have together received 469 indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (9 papers), Connective tissue disorders research (8 papers), Genetic factors in colorectal cancer (5 papers), Congenital heart defects research (3 papers), Cancer Genomics and Diagnostics (2 papers), TGF-β signaling in diseases (2 papers), Molecular Biology Techniques and Applications (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Genetics (302 citations), Surgery (337 citations), Pathology and Forensic Medicine (112 citations), Anatomy (6 citations) and Molecular Biology (164 citations). Beth Marosy has collaborated with scholars based in United States, Sweden and Bangladesh. Frequent co-authors include Nancy H. Miller, Cristina M. Justice, Alexander F. Wilson, Jun Zhang, Kimberly F. Doheny, Harry C. Dietz, Kris J. Alden, Elizabeth Pugh, Paul Boyce and Ada Hamosh. Their work appears in journals such as Spine, BMC Genomics, Genome Research, Current Protocols in Human Genetics and JAMA Ophthalmology.

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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