Maya Styner
Impact in
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- Bone health and osteoporosis research
- Cell Biology top 2%
- Cellular Mechanics and Interactions
Papers in
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- RNA Research and Splicing 8
- Muscle Physiology and Disorders 7
- Bone Metabolism and Diseases 6
- Wnt/β-catenin signaling in development and cancer 4
- Nuclear Structure and Function 4
- Metabolism, Diabetes, and Cancer 3
- Cell Biology 18
- Cellular Mechanics and Interactions 14
- Co-authors
- Janet Rubin (33 shared papers)Buer Sen (30 shared papers)Zhihui Xie (26 shared papers)Natasha Case (13 shared papers)Gunes Uzer (20 shared papers)Clinton T. Rubin (10 shared papers)William R. Thompson (10 shared papers)Gabriel M. Pagnotti (8 shared papers)
- Journals
- Stem Cells (7 papers)Journal of Bone and Mineral Research (4 papers)Bone (3 papers)Journal of Biomechanics (2 papers)Frontiers in Endocrinology (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Maya Styner
43 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 102
- Orthopedics and Sports Medicine 378
- Cell Biology 603
- Genetics 256
- Physiology 464
- Aging 30
Countries citing papers authored by Maya Styner
This map shows the geographic impact of Maya Styner'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 Maya Styner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Styner more than expected).
Fields of papers citing papers by Maya Styner
This network shows the impact of papers produced by Maya Styner. 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 Maya Styner. The network helps show where Maya Styner may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Styner, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 159 | |
| 2 | 2010 | 133 | |
| 3 | 2014 | 132 | |
| 4 | 2013 | 130 | |
| 5 | 2015 | 126 | |
| 6 | 2009 | 121 | |
| 7 | 2008 | 114 | |
| 8 | 2015 | 101 | |
| 9 | 2017 | 84 | |
| 10 | 2011 | 81 | |
| 11 | 2011 | 73 | |
| 12 | 2010 | 69 | |
| 13 | 2017 | 68 | |
| 14 | 2013 | 62 | |
| 15 | 2010 | 61 | |
| 16 | 2018 | 56 | |
| 17 | 2015 | 55 | |
| 18 | 2004 | 44 | |
| 19 | 2020 | 42 | |
| 20 | 2015 | 38 |
About Maya Styner
Maya Styner is a scholar working on Molecular Biology, Cell Biology, Physiology, Orthopedics and Sports Medicine and Oncology, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (14 papers), RNA Research and Splicing (8 papers), Adipose Tissue and Metabolism (8 papers), Muscle Physiology and Disorders (7 papers), Bone Metabolism and Diseases (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Nuclear Structure and Function (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (378 citations), Cell Biology (603 citations), Genetics (256 citations), Physiology (464 citations) and Aging (30 citations). Maya Styner has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Janet Rubin, Buer Sen, Zhihui Xie, Natasha Case, Gunes Uzer, Clinton T. Rubin, William R. Thompson, Gabriel M. Pagnotti, Cody McGrath and Kornelia Galior. Their work appears in journals such as Stem Cells, Journal of Bone and Mineral Research, Bone, Journal of Biomechanics and Frontiers in 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.