Gerda M. Steup‐Beekman
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research 47
- Rheumatoid Arthritis Research and Therapies 12
- Neurology top 5%
- Peripheral Neuropathies and Disorders 15
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases 8
- Complement system in diseases 6
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- Multiple Sclerosis Research Studies 12
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- Monoclonal and Polyclonal Antibodies Research 6
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- Autoimmune and Inflammatory Disorders Research 6
- Co-authors
- T. HuizingaMark A. van BuchemCésar Magro‐ChecaBart J. EmmerElisabeth J. M. ZirkzeeJeroen van der GrondStefan C. A. SteensItamar Ronen
- Cited by
- RheumatologyNeurologyImmunology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Gerda M. Steup‐Beekman
55 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 85
- Rheumatology 1.2k
- Neurology 391
- Immunology 467
- Pathology and Forensic Medicine 333
- Radiology, Nuclear Medicine and Imaging 302
Countries citing papers authored by Gerda M. Steup‐Beekman
This map shows the geographic impact of Gerda M. Steup‐Beekman'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 Gerda M. Steup‐Beekman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerda M. Steup‐Beekman more than expected).
Fields of papers citing papers by Gerda M. Steup‐Beekman
This network shows the impact of papers produced by Gerda M. Steup‐Beekman. 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 Gerda M. Steup‐Beekman. The network helps show where Gerda M. Steup‐Beekman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerda M. Steup‐Beekman, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 11 | |
| 5 | 2020 | 24 | |
| 6 | 2018 | 32 | |
| 7 | 2016 | 9 | |
| 8 | 2016 | 35 | |
| 9 | 2016 | 36 | |
| 10 | 2016 | 51 | |
| 11 | 2016 | 130 | |
| 12 | 2016 | 100 | |
| 13 | 2014 | 8 | |
| 14 | 2013 | 40 | |
| 15 | 2012 | 52 | |
| 16 | 2012 | 55 | |
| 17 | Neuropsychiatric SLE : Lessons learned from MRI. | 2010 | 1 |
| 18 | 2010 | 154 | |
| 19 | 2008 | 80 | |
| 20 | 2006 | 30 |
About Gerda M. Steup‐Beekman
Gerda M. Steup‐Beekman is a scholar working on Rheumatology, Pathology and Forensic Medicine and Neurology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (47 papers), Peripheral Neuropathies and Disorders (15 papers), Multiple Sclerosis Research Studies (12 papers), Rheumatoid Arthritis Research and Therapies (12 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Autoimmune and Inflammatory Disorders Research (6 papers), Complement system in diseases (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Rheumatology (1.2k citations), Neurology (391 citations) and Immunology (467 citations). Gerda M. Steup‐Beekman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include T. Huizinga, Mark A. van Buchem, César Magro‐Checa, Bart J. Emmer, Elisabeth J. M. Zirkzee, Jeroen van der Grond, Stefan C. A. Steens, Itamar Ronen, Daniëlle Cohen and Cornelia F Allaart.
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.