Matthew T. Drake
- Molecular Biology top 1%
- Oncology top 0.5%
- Orthopedics and Sports Medicine top 0.1%
- Pathology and Forensic Medicine top 0.5%
- Physiology top 1%
- Co-authors
- Sundeep KhoslaB.L. ClarkeKurt A. KennelRobert J. LefkowitzSudha K. ShenoyJoshua N. FarrDaniel L. HurleyLouise K. McCready
- Topics
- Bone health and osteoporosis research (42 papers)Bone health and treatments (41 papers)Bone Metabolism and Diseases (24 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Matthew T. Drake
122 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 4.8k
- Oncology 3.6k
- Orthopedics and Sports Medicine 3.5k
- Pathology and Forensic Medicine 1.4k
- Physiology 1.3k
Countries citing papers authored by Matthew T. Drake
This map shows the geographic impact of Matthew T. Drake'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 Matthew T. Drake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Drake more than expected).
Fields of papers citing papers by Matthew T. Drake
This network shows the impact of papers produced by Matthew T. Drake. 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 Matthew T. Drake. The network helps show where Matthew T. Drake may publish in the future.
Co-authorship network of co-authors of Matthew T. Drake
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Drake. A scholar is included among the top collaborators of Matthew T. Drake based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew T. Drake. Matthew T. Drake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Effects of intermittent senolytic therapy on bone metabolism in postmenopausal women: a phase 2 randomized controlled trialbreakdown → | 46 |
| 3 | 34 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 78 | |
| 11 | 60 | |
| 12 | 14 | |
| 13 | 35 | |
| 14 | 62 | |
| 15 | 104 | |
| 16 | 29 | |
| 17 | 42 | |
| 18 | 325 | |
| 19 | A unique mechanism of β-blocker action: Carvedilol stimulates β-arrestin signalingbreakdown → | 477 |
| 20 | 59 |
About Matthew T. Drake
Matthew T. Drake is a scholar working on Orthopedics and Sports Medicine, Oncology and Hematology, having authored 125 papers that have together received 11.0k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (42 papers), Bone health and treatments (41 papers) and Bone Metabolism and Diseases (24 papers). The work is most often cited by research in Orthopedics and Sports Medicine (3.5k citations), Oncology (3.6k citations) and Aging (147 citations). Matthew T. Drake has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sundeep Khosla, B.L. Clarke, Kurt A. Kennel, Robert J. Lefkowitz, Sudha K. Shenoy, Joshua N. Farr, Daniel L. Hurley, Louise K. McCready, David G. Monroe and Robert J. Pignolo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.