Xavier Bossuyt

15.7k total citations
269 papers, 7.4k citations indexed

About

Xavier Bossuyt is a scholar working on Immunology, Epidemiology and Rheumatology. According to data from OpenAlex, Xavier Bossuyt has authored 269 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Immunology, 81 papers in Epidemiology and 64 papers in Rheumatology. Recurrent topics in Xavier Bossuyt's work include Immunodeficiency and Autoimmune Disorders (52 papers), Monoclonal and Polyclonal Antibodies Research (49 papers) and Systemic Lupus Erythematosus Research (46 papers). Xavier Bossuyt is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (52 papers), Monoclonal and Polyclonal Antibodies Research (49 papers) and Systemic Lupus Erythematosus Research (46 papers). Xavier Bossuyt collaborates with scholars based in Belgium, United States and France. Xavier Bossuyt's co-authors include Norbert Blanckaert, Séverine Vermeire, Pieter Vermeersch, Godelieve Mariën, Sofie Joossens, René Westhovens, Patrick Verschueren, Daniël Blockmans, Paul Rutgeerts and Pier Luigi Meroni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Xavier Bossuyt

258 papers receiving 7.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xavier Bossuyt 2.4k 2.1k 1.6k 1.4k 1.3k 269 7.4k
Nicola Bizzaro 1.5k 0.6× 1.3k 0.6× 2.4k 1.5× 568 0.4× 763 0.6× 211 6.3k
Seymour Katz 4.1k 1.7× 2.5k 1.2× 1.1k 0.7× 3.0k 2.2× 1.3k 1.0× 248 11.0k
Renato C. Monteiro 4.6k 1.9× 928 0.4× 582 0.4× 617 0.5× 1.9k 1.5× 173 8.9k
Lennart Truedsson 4.3k 1.8× 907 0.4× 2.5k 1.6× 607 0.4× 1.1k 0.9× 186 7.6k
Rita Carsetti 4.5k 1.9× 1.7k 0.8× 417 0.3× 709 0.5× 1.5k 1.2× 165 8.3k
Anne Janin 3.1k 1.3× 1.1k 0.5× 1.2k 0.7× 714 0.5× 3.6k 2.8× 333 11.4k
Javier Martı́n 6.6k 2.7× 2.1k 1.0× 5.8k 3.6× 2.0k 1.5× 3.3k 2.6× 499 15.0k
Chester A. Alper 5.6k 2.3× 1.4k 0.6× 1.2k 0.8× 1.7k 1.3× 1.5k 1.2× 220 10.5k
Virginia Pascual 7.2k 3.0× 1.3k 0.6× 2.3k 1.4× 775 0.6× 2.3k 1.8× 98 10.7k
Michael M. Frank 3.6k 1.5× 1.1k 0.5× 1.6k 1.0× 764 0.6× 1.2k 1.0× 130 9.5k

Countries citing papers authored by Xavier Bossuyt

Since Specialization
Citations

This map shows the geographic impact of Xavier Bossuyt'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 Xavier Bossuyt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Bossuyt more than expected).

Fields of papers citing papers by Xavier Bossuyt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier Bossuyt. 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 Xavier Bossuyt. The network helps show where Xavier Bossuyt may publish in the future.

Co-authorship network of co-authors of Xavier Bossuyt

This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Bossuyt. A scholar is included among the top collaborators of Xavier Bossuyt 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 Xavier Bossuyt. Xavier Bossuyt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bossuyt, Xavier & Lieve Van Hoovels. (2024). Reporting Likelihood Ratio in Autoimmune Serology: Just a Theory or Feasible in Practice?. Clinical Chemistry. 70(3). 482–485. 4 indexed citations
2.
Geukens, Nick, et al.. (2024). Long-term follow-up of anti-IFN-α2 autoantibody levels in hospitalized individuals with COVID-19. SHILAP Revista de lepidopterología. 6. 26–30. 1 indexed citations
3.
Elslande, Jan Van, Pieter Vermeersch, Glynis Frans, et al.. (2024). IFN-α2 Autoantibody Screening and Functional Evaluation in Viral and Bacterial Infections. The Journal of Applied Laboratory Medicine. 9(6). 977–989. 1 indexed citations
4.
Vulsteke, Jean‐Baptiste, Frédéric Coutant, David Gonçalves, et al.. (2023). Detection of anti-eIF2B autoantibodies in systemic sclerosis by immunoprecipitation-mass spectrometry. Lara D. Veeken. 62(7). e216–e218. 5 indexed citations
5.
Bossuyt, Xavier, Jean‐Baptiste Vulsteke, Jan Van Elslande, et al.. (2023). Antinuclear antibodies in individuals with COVID-19 reflect underlying disease: Identification of new autoantibodies in systemic sclerosis (CDK9) and malignancy (RNF20, RCC1, TRIP13). Autoimmunity Reviews. 22(4). 103288–103288. 4 indexed citations
6.
Vulsteke, Jean‐Baptiste, Vanessa Smith, Carolien Bonroy, et al.. (2023). Autoantibodies against the NineTeen complex and U5 RNP in systemic sclerosis. Journal of Autoimmunity. 139. 103056–103056. 1 indexed citations
7.
Proesmans, Marijke, et al.. (2022). Laboratory biomarkers in the diagnosis and follow-up of treatment of allergic bronchopulmonary aspergillosis in cystic fibrosis. Critical Reviews in Clinical Laboratory Sciences. 60(1). 1–24. 3 indexed citations
8.
Elslande, Jan Van, et al.. (2022). IgG anti-spike antibody levels in healthcare workers with and without prior COVID-19 up to 3 months after BNT162b2 vaccination. Diagnostic Microbiology and Infectious Disease. 102(4). 115638–115638. 6 indexed citations
10.
Hoovels, Lieve Van, Xavier Bossuyt, Mariangela Manfredi, et al.. (2021). Integrating quality assurance in autoimmunity: the changing face of the automated ANA IIF test. Clinical Chemistry and Laboratory Medicine (CCLM). 59(7). 1247–1255. 9 indexed citations
11.
Poesen, Koen, et al.. (2019). Clinical spectrum of the anti-GQ1b antibody syndrome: a case series of eight patients. Acta Neurologica Belgica. 119(1). 29–36. 12 indexed citations
12.
Bossuyt, Xavier, Koen Poesen, Kristl G. Claeys, et al.. (2017). FRI0393 Prevalence of myositis-specific antibodies in idiopathic inflammatory myopathy compared to disease and healthy controls. Annals of the Rheumatic Diseases. 76. 636–637. 1 indexed citations
13.
Frans, Glynis, Leen Moens, Heidi Schaballie, et al.. (2014). Identification of two new gain-of-function STAT1 mutations in the DNA-binding domain. Lirias (KU Leuven). 1 indexed citations
14.
Bossuyt, Xavier, et al.. (2013). The phenotype and genotype of rheumatoid arthritis in the Democratic Republic of Congo. Clinical Rheumatology. 32. 1 indexed citations
15.
Meyts, Isabelle, et al.. (2012). HEMATOPOIETIC STEM CELL TRANSPLANTATION IN A PATIENT WITH WHIM SYNDROME AND PANCYTOPENIA. Journal of Clinical Immunology. 32. 92–92. 1 indexed citations
16.
Ferrante, Marc, Séverine Vermeire, Maja Noman, et al.. (2006). Short-term response to infliximab in ulcerative colitis and pouchitis: Results from a single-center experience. Gastroenterology. 130(4). 1 indexed citations
17.
Mariën, Godelieve, et al.. (2002). Evaluation of the Paragon 2000 CZE® system with software version 1.6 for detection of monoclonal proteins. Clinical Chemistry. 48. 1 indexed citations
18.
Bossuyt, Xavier, Gerald E. Marti, & Thomas A. Fleisher. (1997). Comparative analysis of whole blood lysis methods for flow cytometry. Cytometry. 30(3). 124–133. 10 indexed citations
19.
Bossuyt, Xavier, Gerald E. Marti, & Thomas A. Fleisher. (1997). Comparative analysis of whole blood lysis methods for flow cytometry. Cytometry. 30(3). 124–133. 83 indexed citations
20.
Bossuyt, Xavier. (1996). Clinical Applications of Cytometry. Cytometry. 26. 345.

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.

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