David E. Maridas

23 papers receiving 970 citations

Peers

David E. Maridas
Comparison fields: 5 of 89
  • Orthopedics and Sports Medicine 157
  • Cancer Research 178
  • Genetics 117
  • Molecular Biology 558
  • Physiology 190
Replace Abbas Jafari with:
Abbas Jafari Denmark
Tami Kobayashi Japan
Jenna N. Regan United States
Ruiye Bi China
Jennifer C. Utting United Kingdom
Thomas H. Ambrosi United States
Narelle E. McGregor Australia
Yougen Xi United States
Christian E. Jacome-Galarza United States
Yoshiteru Miyauchi Japan
David E. Maridas relative to Abbas Jafari Denmark Abbas Jafari's profile →
Citations per field
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Citations per year

Countries citing papers authored by David E. Maridas

Since Specialization
Citations

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

Fields of papers citing papers by David E. Maridas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Maridas. 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 David E. Maridas. The network helps show where David E. Maridas may publish in the future.

Co-authors

The 25 scholars most cited alongside David E. Maridas, 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 David E. Maridas Line = papers co-authored together David E. Maridas 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 2017305
2 2013111
3 201892
4 201888
5 202082
6 201857
7 201736
8 201735
9 202031
10 201527
11 201827
12 201425
13 202123
14 201711
15 20238
16 20234
17 20233
18 20252
19 20252
20 20212

About David E. Maridas

David E. Maridas is a scholar working on Genetics, Orthopedics and Sports Medicine, Physiology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 974 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Bone Metabolism and Diseases (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Mesenchymal stem cell research (3 papers), Bone health and treatments (3 papers), Bone fractures and treatments (3 papers), Bone health and osteoporosis research (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (157 citations), Cancer Research (178 citations), Genetics (117 citations), Molecular Biology (558 citations) and Physiology (190 citations). David E. Maridas has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Clifford J. Rosen, Phuong Le, Victoria DeMambro, Elizabeth Rendina-Ruedy, Roland Baron, Beate Lanske, Anyonya R. Guntur, Joy Y. Wu, David W. Dempster and Mark C. Horowitz. Their work appears in journals such as Journal of Visualized Experiments, Endocrinology, Nature Communications, Journal of Bone and Mineral Research and Bone.

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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