Roger Long
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
Papers in
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- Bone Metabolism and Diseases 5
- TGF-β signaling in diseases 4
- Kruppel-like factors research 1
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- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- Daniel D. Bikle (6 shared papers)Yongmei Wang (4 shared papers)Hashem Elalieh (5 shared papers)Shigeki Nishida (3 shared papers)Bernard P. Halloran (4 shared papers)Takuo Kubota (3 shared papers)Nizar Smaoui (1 shared paper)Anne Slavotinek (1 shared paper)
- Journals
- Journal of Bone and Mineral Research (3 papers)BMC Musculoskeletal Disorders (1 paper)Channels (1 paper)Journal of Biological Chemistry (1 paper)Journal of Surgical Research (1 paper)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Roger Long
14 papers receiving 369 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 121
- Orthopedics and Sports Medicine 41
- Molecular Biology 210
- Genetics 74
- Oncology 66
Countries citing papers authored by Roger Long
This map shows the geographic impact of Roger Long'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 Roger Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Long more than expected).
Fields of papers citing papers by Roger Long
This network shows the impact of papers produced by Roger Long. 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 Roger Long. The network helps show where Roger Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Roger Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 156 | |
| 2 | 2017 | 43 | |
| 3 | 2014 | 32 | |
| 4 | 2015 | 30 | |
| 5 | 2016 | 27 | |
| 6 | 2020 | 23 | |
| 7 | 2011 | 21 | |
| 8 | 2016 | 11 | |
| 9 | 2014 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2006 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2007 | 1 |
About Roger Long
Roger Long is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Pathology and Forensic Medicine and Oncology, having authored 14 papers that have together received 377 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), TGF-β signaling in diseases (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cell Adhesion Molecules Research (2 papers), Bone health and treatments (2 papers), Pancreatic function and diabetes (1 paper), Kruppel-like factors research (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (121 citations), Orthopedics and Sports Medicine (41 citations), Molecular Biology (210 citations), Genetics (74 citations) and Oncology (66 citations). Roger Long has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Daniel D. Bikle, Yongmei Wang, Hashem Elalieh, Shigeki Nishida, Bernard P. Halloran, Takuo Kubota, Nizar Smaoui, Anne Slavotinek, Bryce A. Mendelsohn and Neeta Parimi. Their work appears in journals such as Journal of Bone and Mineral Research, BMC Musculoskeletal Disorders, Channels, Journal of Biological Chemistry and Journal of Surgical Research.
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.