Buer Sen
Impact in
-
- Bone health and osteoporosis research
- Cell Biology top 1%
- Cellular Mechanics and Interactions
Papers in
-
- RNA Research and Splicing 13
- Muscle Physiology and Disorders 7
- Bone Metabolism and Diseases 6
- Wnt/β-catenin signaling in development and cancer 5
- Nuclear Structure and Function 5
- Cell Biology 23
- Cellular Mechanics and Interactions 17
- Co-authors
- Janet Rubin (38 shared papers)Zhihui Xie (29 shared papers)Maya Styner (30 shared papers)Natasha Case (17 shared papers)Clinton T. Rubin (9 shared papers)Gunes Uzer (19 shared papers)William R. Thompson (10 shared papers)Meiyun Ma (2 shared papers)
- Journals
- Stem Cells (7 papers)Journal of Bone and Mineral Research (5 papers)Bone (4 papers)Journal of Biological Chemistry (4 papers)Endocrinology (2 papers)
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
Buer Sen
45 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 104
- Orthopedics and Sports Medicine 420
- Cell Biology 786
- Genetics 320
- Reproductive Medicine 227
- Molecular Biology 1.5k
Countries citing papers authored by Buer Sen
This map shows the geographic impact of Buer Sen'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 Buer Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Buer Sen more than expected).
Fields of papers citing papers by Buer Sen
This network shows the impact of papers produced by Buer Sen. 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 Buer Sen. The network helps show where Buer Sen may publish in the future.
Co-authors
The 25 scholars most cited alongside Buer Sen, 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 | 2008 | 245 | |
| 2 | 2002 | 170 | |
| 3 | 2016 | 142 | |
| 4 | 2010 | 133 | |
| 5 | 2014 | 132 | |
| 6 | 2013 | 130 | |
| 7 | 2008 | 130 | |
| 8 | 2015 | 126 | |
| 9 | 2009 | 121 | |
| 10 | 2002 | 102 | |
| 11 | 2015 | 101 | |
| 12 | 2004 | 98 | |
| 13 | 2017 | 84 | |
| 14 | 2011 | 81 | |
| 15 | 2011 | 73 | |
| 16 | 2007 | 71 | |
| 17 | 2010 | 69 | |
| 18 | 2017 | 68 | |
| 19 | 2013 | 62 | |
| 20 | 2010 | 61 |
About Buer Sen
Buer Sen is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Oncology, having authored 46 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (17 papers), RNA Research and Splicing (13 papers), Muscle Physiology and Disorders (7 papers), Adipose Tissue and Metabolism (7 papers), Bone Metabolism and Diseases (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Mesenchymal stem cell research (5 papers) and Nuclear Structure and Function (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (420 citations), Cell Biology (786 citations), Genetics (320 citations), Reproductive Medicine (227 citations) and Molecular Biology (1.5k citations). Buer Sen has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Janet Rubin, Zhihui Xie, Maya Styner, Natasha Case, Clinton T. Rubin, Gunes Uzer, William R. Thompson, Meiyun Ma, Mark B. Meyer and Cody McGrath. Their work appears in journals such as Stem Cells, Journal of Bone and Mineral Research, Bone, Journal of Biological Chemistry 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.