G. R. Burmester
- Rheumatology top 1%
- Rheumatoid Arthritis Research and Therapies 27
- Systemic Lupus Erythematosus Research 14
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research 8
- Immunology top 5%
- T-cell and B-cell Immunology 8
- Immunodeficiency and Autoimmune Disorders 3
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- Monoclonal and Polyclonal Antibodies Research 13
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 6
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- Lymphoma Diagnosis and Treatment 5
- Co-authors
- Gerd HorneffJoachim R. KaldenFrank EmmrichDaniel E. FürstEdward KeystoneJosef S SmolenRobert WinchesterKevin Winthrop
- Cited by
- RheumatologyHematologyImmunology
- Journals
- The Journal of Immunology (1 paper)Annals of the Rheumatic Diseases (21 papers)Lara D. Veeken (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
G. R. Burmester
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Rheumatology 834
- Hematology 285
- Immunology 464
- Radiology, Nuclear Medicine and Imaging 297
- Genetics 134
Countries citing papers authored by G. R. Burmester
This map shows the geographic impact of G. R. Burmester'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. R. Burmester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. R. Burmester more than expected).
Fields of papers citing papers by G. R. Burmester
This network shows the impact of papers produced by G. R. Burmester. 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. R. Burmester. The network helps show where G. R. Burmester may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. R. Burmester, 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 | 2021 | 0 | |
| 2 | 2020 | 4 | |
| 3 | 2011 | 317 | |
| 4 | Towards a data-driven evaluation of the 2010 ACR/EULAR criteria for rheumatoid arthritis: Is it sensible to look at levels of rheumatoid factor? | 2010 | 1 |
| 5 | 2010 | 38 | |
| 6 | 2007 | 153 | |
| 7 | Efficacy of adalimumab in psoriatic arthritis as measured by the disease activity score 28 | 2005 | 3 |
| 8 | 2005 | 2 | |
| 9 | 2002 | 92 | |
| 10 | 2001 | 138 | |
| 11 | 2001 | 1 | |
| 12 | 1996 | 38 | |
| 13 | 1995 | 3 | |
| 14 | 1995 | 2 | |
| 15 | 1994 | 2 | |
| 16 | 1991 | 199 | |
| 17 | 1991 | 2 | |
| 18 | 1989 | 8 | |
| 19 | 1987 | 16 | |
| 20 | 1987 | 3 |
About G. R. Burmester
G. R. Burmester is a scholar working on Rheumatology, Hematology and Immunology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (27 papers), Systemic Lupus Erythematosus Research (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Autoimmune and Inflammatory Disorders Research (8 papers), T-cell and B-cell Immunology (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (5 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Rheumatology (834 citations), Hematology (285 citations) and Immunology (464 citations). G. R. Burmester has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Gerd Horneff, Joachim R. Kalden, Frank Emmrich, Joachim R. Kalden, Daniel E. Fürst, Edward Keystone, Josef S Smolen, Robert Winchester, Kevin Winthrop and M H Weisman. Their work appears in journals such as The Journal of Immunology, Annals of the Rheumatic Diseases and Lara D. Veeken.
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.