G. David Roodman
- Oncology top 0.2%
- Molecular Biology top 2%
- Hematology top 0.2%
- Pulmonary and Respiratory Medicine top 2%
- Orthopedics and Sports Medicine top 0.5%
- Co-authors
- Jolene J. WindleNoopur RajeNoriyoshi KuriharaRebecca SilbermannNicola GiulianiSakamuri V. ReddyEvangelos TerposVittorio Rizzoli
- Topics
- Bone health and treatments (79 papers)Multiple Myeloma Research and Treatments (78 papers)Peptidase Inhibition and Analysis (24 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesJapanGreece
In The Last Decade
G. David Roodman
127 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Oncology 5.3k
- Molecular Biology 3.1k
- Hematology 2.5k
- Pulmonary and Respiratory Medicine 899
- Orthopedics and Sports Medicine 893
Countries citing papers authored by G. David Roodman
This map shows the geographic impact of G. David Roodman'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 G. David Roodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. David Roodman more than expected).
Fields of papers citing papers by G. David Roodman
This network shows the impact of papers produced by G. David Roodman. 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 G. David Roodman. The network helps show where G. David Roodman may publish in the future.
Co-authorship network of co-authors of G. David Roodman
This figure shows the co-authorship network connecting the top 25 collaborators of G. David Roodman. A scholar is included among the top collaborators of G. David Roodman 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 G. David Roodman. G. David Roodman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 24 | |
| 4 | Osteocyte Vegf-a contributes to myeloma-associated angiogenesis and is regulated by Fgf23 | 1 |
| 5 | 69 | |
| 6 | Bone pain induced by multiple myeloma is reduced by targeting V-ATPase and ASIC3 | 4 |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 41 | |
| 10 | 9 | |
| 11 | 57 | |
| 12 | Myeloma bone disease: Pathophysiology and management. | 7 |
| 13 | 87 | |
| 14 | 37 | |
| 15 | 90 | |
| 16 | 35 | |
| 17 | 114 | |
| 18 | 51 | |
| 19 | 142 | |
| 20 | 117 |
About G. David Roodman
G. David Roodman is a scholar working on Hematology, Oncology and Immunology and Allergy, having authored 130 papers that have together received 7.7k indexed citations. Recurring topics across this work include Bone health and treatments (79 papers), Multiple Myeloma Research and Treatments (78 papers) and Peptidase Inhibition and Analysis (24 papers). The work is most often cited by research in Hematology (2.5k citations), Oncology (5.3k citations) and Orthopedics and Sports Medicine (893 citations). G. David Roodman has collaborated with scholars based in United States, Japan and Greece. Frequent co-authors include Jolene J. Windle, Noopur Raje, Noriyoshi Kurihara, Rebecca Silbermann, Nicola Giuliani, Sakamuri V. Reddy, Evangelos Terpos, Vittorio Rizzoli, Sun Jin Choi and Natalie S. Callander. Their work appears in journals such as New England Journal of Medicine, 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.