David E. Maridas
Impact in
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- Bone health and osteoporosis research
- Bone and Joint Diseases
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
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- Bone Metabolism and Diseases 6
- TGF-β signaling in diseases 3
- Oncology 7
- Bone health and treatments 3
- Co-authors
- Clifford J. Rosen (9 shared papers)Phuong Le (8 shared papers)Victoria DeMambro (6 shared papers)Elizabeth Rendina-Ruedy (3 shared papers)Roland Baron (4 shared papers)Beate Lanske (2 shared papers)Anyonya R. Guntur (3 shared papers)Serkan Kır (1 shared paper)
- Journals
- Journal of Visualized Experiments (4 papers)Nature Communications (2 papers)Bone (2 papers)Journal of Bone and Mineral Research (2 papers)Endocrinology (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
David E. Maridas
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Orthopedics and Sports Medicine 146
- Genetics 111
- Cancer Research 146
- Rheumatology 106
- Molecular Biology 522
Countries citing papers authored by David E. Maridas
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
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.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 321 | |
| 2 | 2013 | 122 | |
| 3 | 2018 | 95 | |
| 4 | 2018 | 90 | |
| 5 | 2020 | 87 | |
| 6 | 2018 | 61 | |
| 7 | 2017 | 38 | |
| 8 | 2017 | 37 | |
| 9 | 2020 | 34 | |
| 10 | 2014 | 28 | |
| 11 | 2015 | 27 | |
| 12 | 2018 | 27 | |
| 13 | 2021 | 24 | |
| 14 | 2017 | 12 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 2 |
About David E. Maridas
David E. Maridas is a scholar working on Molecular Biology, Oncology, Physiology, Surgery and Genetics, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (6 papers), Adipose Tissue and Metabolism (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Bone fractures and treatments (3 papers), TGF-β signaling in diseases (3 papers), Bone health and treatments (3 papers), Mesenchymal stem cell research (3 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (146 citations), Genetics (111 citations), Cancer Research (146 citations), Rheumatology (106 citations) and Molecular Biology (522 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, Serkan Kır, David W. Dempster and Xuedong Zhou. Their work appears in journals such as Journal of Visualized Experiments, Nature Communications, Bone, Journal of Bone and Mineral Research and Endocrinology.
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.