Michel Vierboom
- Immunology top 1%
- Immunotherapy and Immune Responses 21
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 7
- Immune Response and Inflammation 5
- Oncology top 5%
- Epidemiology top 5%
- Virology top 10%
- Infectious Diseases top 5%
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- Rheumatoid Arthritis Research and Therapies 11
- Systemic Lupus Erythematosus Research 9
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- Monoclonal and Polyclonal Antibodies Research 9
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- vaccines and immunoinformatics approaches 5
- Co-authors
- W. Martin KastCornelis J.M. MeliefMariet C.W. FeltkampJan W. DrijfhoutJan ter ScheggetHenk L. SmitsB. M. de JonghRené Minnaar
- Cited by
- ImmunologyOncologyEpidemiology
- Journals
- Nature Medicine (1 paper)The Journal of Experimental Medicine (2 papers)Circulation Research (1 paper)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Michel Vierboom
46 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 2.2k
- Oncology 642
- Epidemiology 657
- Virology 75
- Infectious Diseases 267
Countries citing papers authored by Michel Vierboom
This map shows the geographic impact of Michel Vierboom'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 Michel Vierboom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Vierboom more than expected).
Fields of papers citing papers by Michel Vierboom
This network shows the impact of papers produced by Michel Vierboom. 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 Michel Vierboom. The network helps show where Michel Vierboom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel Vierboom, 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 | 33 | |
| 2 | 2019 | 194 | |
| 3 | 2017 | 5 | |
| 4 | 2017 | 18 | |
| 5 | 2015 | 20 | |
| 6 | 2015 | 16 | |
| 7 | 2015 | 145 | |
| 8 | 2014 | 14 | |
| 9 | 2012 | 4 | |
| 10 | 2012 | 4 | |
| 11 | 2010 | 27 | |
| 12 | 2008 | 8 | |
| 13 | 2007 | 44 | |
| 14 | 2006 | 5 | |
| 15 | 2005 | 50 | |
| 16 | 2002 | 24 | |
| 17 | 2000 | 49 | |
| 18 | 2000 | 37 | |
| 19 | 1995 | 145 | |
| 20 | 1993 | 176 |
About Michel Vierboom
Michel Vierboom is a scholar working on Immunology, Rheumatology and Transplantation, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (21 papers), Rheumatoid Arthritis Research and Therapies (11 papers), T-cell and B-cell Immunology (10 papers), Systemic Lupus Erythematosus Research (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Immune Cell Function and Interaction (7 papers), vaccines and immunoinformatics approaches (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Immunology (2.2k citations), Oncology (642 citations) and Epidemiology (657 citations). Michel Vierboom has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include W. Martin Kast, Cornelis J.M. Melief, Mariet C.W. Feltkamp, Jan W. Drijfhout, Jan ter Schegget, Henk L. Smits, B. M. de Jongh, René Minnaar, Hans W. Nijman and Rienk Offringa. Their work appears in journals such as Nature Medicine, The Journal of Experimental Medicine and Circulation Research.
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.