R. E. Esveldt
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
- Immunology 11
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 2
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Niek de Vries (13 shared papers)Marieke E. Doorenspleet (13 shared papers)Antoine H. C. van Kampen (11 shared papers)Frank Baas (10 shared papers)Barbera D. C. van Schaik (10 shared papers)Daniëlle M. Gerlag (4 shared papers)Paul P. Tak (6 shared papers)Maria J. H. de Hair (2 shared papers)
- Journals
- Annals of the Rheumatic Diseases (6 papers)The Journal of Immunology (1 paper)PLoS Pathogens (1 paper)Frontiers in Immunology (1 paper)Arthritis Research & Therapy (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
R. E. Esveldt
12 papers receiving 412 citations
Peers
Comparison fields: 5 of 47
- Immunology 298
- Rheumatology 107
- Radiology, Nuclear Medicine and Imaging 84
- Oncology 68
- Epidemiology 84
Countries citing papers authored by R. E. Esveldt
This map shows the geographic impact of R. E. Esveldt'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 R. E. Esveldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. E. Esveldt more than expected).
Fields of papers citing papers by R. E. Esveldt
This network shows the impact of papers produced by R. E. Esveldt. 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 R. E. Esveldt. The network helps show where R. E. Esveldt may publish in the future.
Co-authors
The 25 scholars most cited alongside R. E. Esveldt, 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 | 2012 | 104 | |
| 2 | 2012 | 85 | |
| 3 | 2013 | 85 | |
| 4 | 2018 | 27 | |
| 5 | 2017 | 27 | |
| 6 | 2014 | 25 | |
| 7 | 2019 | 23 | |
| 8 | 2015 | 18 | |
| 9 | 2017 | 12 | |
| 10 | 2019 | 6 | |
| 11 | 2014 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2018 | 0 |
About R. E. Esveldt
R. E. Esveldt is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Genetics, Epidemiology and Rheumatology, having authored 13 papers that have together received 414 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), T-cell and B-cell Immunology (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Immune Cell Function and Interaction (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Immunology (298 citations), Rheumatology (107 citations), Radiology, Nuclear Medicine and Imaging (84 citations), Oncology (68 citations) and Epidemiology (84 citations). R. E. Esveldt has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Niek de Vries, Marieke E. Doorenspleet, Antoine H. C. van Kampen, Frank Baas, Barbera D. C. van Schaik, Daniëlle M. Gerlag, Paul P. Tak, Maria J. H. de Hair, P. L. Klarenbeek and Paul L. Klarenbeek. Their work appears in journals such as Annals of the Rheumatic Diseases, The Journal of Immunology, PLoS Pathogens, Frontiers in Immunology and Arthritis Research & Therapy.
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.