Lisa Stadmeyer

1.3k citations
14 papers · 1.1k · 1 hit paper · h-index 12

Impact in

Papers in

    • TGF-β signaling in diseases 7
    • Bone Metabolism and Diseases 4
    • RNA Research and Splicing 3
    • Kruppel-like factors research 2
    • Connective Tissue Growth Factor Research 2
    • Nuclear Structure and Function 2
    • Muscle Physiology and Disorders 2
    • Bone and Dental Protein Studies 2

Lisa Stadmeyer

14 papers receiving 1.1k citations

Lisa Stadmeyer's Hit Papers

Age-Related Changes in Trabecular Architecture Differ in Female and Male C57BL/6J Mice 2007 · 527 citations
5270+6+12Years since publication100200300400500

Peers

Lisa Stadmeyer
Comparison fields: 5 of 85
  • Orthopedics and Sports Medicine 234
  • Molecular Biology 738
  • Oncology 194
  • Rheumatology 105
  • Aging 11
Replace Marta B. Alvarez with:
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David E. Maridas United States
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Hiroshi Tsurukami Japan
Rune Jemtland Norway
Tomomi Kusumi Japan
Narelle E. McGregor Australia
Yasuto Taguchi United States
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Citations per field
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Citations per year

Countries citing papers authored by Lisa Stadmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Stadmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Age-Related Changes in Trabecular Architecture Differ in Female and Male C57BL/6J Mice
Hit paper breakdown →
2007527
2 2008180
3 200795
4 200765
5 200845
6 200644
7 200538
8 200937
9 200825
10 200823
11 200622
12 200813
13 20088
14 20048

About Lisa Stadmeyer

Lisa Stadmeyer is a scholar working on Molecular Biology, Rheumatology, Urology, Nephrology and Orthopedics and Sports Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (7 papers), Bone Metabolism and Diseases (4 papers), RNA Research and Splicing (3 papers), Kruppel-like factors research (2 papers), Connective Tissue Growth Factor Research (2 papers), Bone and Dental Protein Studies (2 papers), Nuclear Structure and Function (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (234 citations), Molecular Biology (738 citations), Oncology (194 citations), Rheumatology (105 citations) and Aging (11 citations). Lisa Stadmeyer has collaborated with scholars based in United States and Germany. Frequent co-authors include ERNESTO M. CANALIS, Mary Bouxsein, Vaida Glatt, Stefano Zanotti, Anna Smerdel‐Ramoya, Deena Durant, Freddy Radtke, Sheila Rydziel, Renata C. Pereira and Aris N. Economides. Their work appears in journals such as Journal of Cellular Biochemistry, Endocrinology, Bone, Journal of Biological Chemistry and Connective Tissue Research.

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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