Matthew M. Roforth
Impact in
-
- Bone health and osteoporosis research
- Transplantation top 10%
Papers in
-
- Bone Metabolism and Diseases 9
- TGF-β signaling in diseases 2
- Genetics 7
- Estrogen and related hormone effects 6
- Co-authors
- Sundeep Khosla (14 shared papers)David G. Monroe (11 shared papers)James M. Peterson (8 shared papers)Louise K. McCready (8 shared papers)Matthew T. Drake (6 shared papers)Koji Fujita (6 shared papers)Ulrike I. Mödder (4 shared papers)Chalet Tan (2 shared papers)
- Journals
- Bone (5 papers)PLoS ONE (3 papers)Blood (2 papers)Journal of Bone and Mineral Research (2 papers)Endocrinology (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Matthew M. Roforth
26 papers receiving 769 citations
Peers
Comparison fields: 5 of 83
- Orthopedics and Sports Medicine 163
- Transplantation 35
- Hematology 90
- Oncology 150
- Genetics 59
Countries citing papers authored by Matthew M. Roforth
This map shows the geographic impact of Matthew M. Roforth'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 M. Roforth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Roforth more than expected).
Fields of papers citing papers by Matthew M. Roforth
This network shows the impact of papers produced by Matthew M. Roforth. 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 M. Roforth. The network helps show where Matthew M. Roforth may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew M. Roforth, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 97 | |
| 2 | 2006 | 88 | |
| 3 | 2011 | 70 | |
| 4 | 2013 | 70 | |
| 5 | 2015 | 61 | |
| 6 | 2010 | 47 | |
| 7 | 2011 | 40 | |
| 8 | 2011 | 34 | |
| 9 | 2008 | 30 | |
| 10 | 2011 | 30 | |
| 11 | 2020 | 30 | |
| 12 | 2015 | 29 | |
| 13 | 2013 | 24 | |
| 14 | 2022 | 21 | |
| 15 | 2014 | 20 | |
| 16 | 2013 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2012 | 17 | |
| 19 | 2006 | 16 | |
| 20 | 2017 | 12 |
About Matthew M. Roforth
Matthew M. Roforth is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Orthopedics and Sports Medicine, having authored 28 papers that have together received 793 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (9 papers), Estrogen and related hormone effects (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Bone health and osteoporosis research (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers), TGF-β signaling in diseases (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (163 citations), Transplantation (35 citations), Hematology (90 citations), Oncology (150 citations) and Genetics (59 citations). Matthew M. Roforth has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Sundeep Khosla, David G. Monroe, James M. Peterson, Louise K. McCready, Matthew T. Drake, Koji Fujita, Ulrike I. Mödder, Chalet Tan, Elizabeth J. Atkinson and Merry Jo Oursler. Their work appears in journals such as Bone, PLoS ONE, Blood, 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.