Ellen M. Gravallese
- Molecular Biology top 1%
- Rheumatology top 0.05%
- Immunology top 0.5%
- Oncology top 1%
- Cancer Research top 1%
- Co-authors
- Steven R. GoldringGeorg SchettNicole C. WalshLaurie H. GlimcherGary S. FiresteinMichael J. GrusbyAllison R. PettitFrederick W. Alt
- Topics
- Rheumatoid Arthritis Research and Therapies (50 papers)Bone Metabolism and Diseases (36 papers)Spondyloarthritis Studies and Treatments (18 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ellen M. Gravallese
137 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 5.5k
- Rheumatology 4.5k
- Immunology 2.8k
- Oncology 2.5k
- Cancer Research 1.3k
Countries citing papers authored by Ellen M. Gravallese
This map shows the geographic impact of Ellen M. Gravallese'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 Ellen M. Gravallese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen M. Gravallese more than expected).
Fields of papers citing papers by Ellen M. Gravallese
This network shows the impact of papers produced by Ellen M. Gravallese. 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 Ellen M. Gravallese. The network helps show where Ellen M. Gravallese may publish in the future.
Co-authorship network of co-authors of Ellen M. Gravallese
This figure shows the co-authorship network connecting the top 25 collaborators of Ellen M. Gravallese. A scholar is included among the top collaborators of Ellen M. Gravallese 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 Ellen M. Gravallese. Ellen M. Gravallese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | Rheumatoid Arthritis — Common Origins, Divergent Mechanismsbreakdown → | 373 |
| 6 | 8 | |
| 7 | 29 | |
| 8 | 42 | |
| 9 | 97 | |
| 10 | 145 | |
| 11 | 52 | |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 101 | |
| 15 | 197 | |
| 16 | The NFAT family of transcription factors may be key regulators of the RANKL gene in T cells | 1 |
| 17 | TRANCE/RANKL knockout mice are protected from bone erosion in the K/BxN serum transfer model of arthritis | 5 |
| 18 | Angiopoietin-1 is expressed in RA synovium and is induced by TNF-alpha in cultured synovial fibroblasts | 1 |
| 19 | 68 | |
| 20 | 2 |
About Ellen M. Gravallese
Ellen M. Gravallese is a scholar working on Rheumatology, Orthopedics and Sports Medicine and Hematology, having authored 142 papers that have together received 12.2k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (50 papers), Bone Metabolism and Diseases (36 papers) and Spondyloarthritis Studies and Treatments (18 papers). The work is most often cited by research in Rheumatology (4.5k citations), Immunology (2.8k citations) and Orthopedics and Sports Medicine (1.1k citations). Ellen M. Gravallese has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Steven R. Goldring, Georg Schett, Nicole C. Walsh, Laurie H. Glimcher, Gary S. Firestein, Michael J. Grusby, Allison R. Pettit, Frederick W. Alt, Rebecca Baum and Christophe Benoıst. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.