Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A decrease of the butyrate-producing species Roseburia hominis and Faecalibacterium prausnitzii defines dysbiosis in patients with ulcerative colitis
20131.4k citationsKathleen Machiels, Marie Joossens et al.Gutprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Jan Verhaegen'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 Jan Verhaegen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Verhaegen more than expected).
This network shows the impact of papers produced by Jan Verhaegen. 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 Jan Verhaegen. The network helps show where Jan Verhaegen may publish in the future.
Co-authorship network of co-authors of Jan Verhaegen
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Verhaegen.
A scholar is included among the top collaborators of Jan Verhaegen 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 Jan Verhaegen. Jan Verhaegen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Machiels, Kathleen, Marie Joossens, João Sabino, et al.. (2013). A decrease of the butyrate-producing species Roseburia hominis and Faecalibacterium prausnitzii defines dysbiosis in patients with ulcerative colitis. Gut. 63(8). 1275–1283.1423 indexed citations breakdown →
12.
Vanassche, Thomas, Marijke Peetermans, Jan Verhaegen, et al.. (2011). Inhibition of staphylothrombin by dabigatran reduces Staphylococcus aureus adhesion to catheter and other foreign surfaces in vitro and abscess volume in vivo. Journal of Thrombosis and Haemostasis. 9. 505–505.2 indexed citations
Saegeman, Veroniek, et al.. (2010). GRAM STAINING AND RECOVERY CAPACITY OF METHICILLIN RESISTANT STAPHYLOCOCCUS AUREUS BY THE COPAN ESWABTM SYSTEM VERSUS THE COPAN DRY SWAB SYSTEM. Acta Clinica Belgica. 66(2). 166–166.1 indexed citations
16.
Schutter, Iris De, et al.. (2009). MICROBIOLOGICAL RESULTS IN BELGIAN CHILDREN WITH NON-RESPONDING OR RECURRENT COMMUNITY ACQUIRED LOWER RESPIRATORY TRACT INFECTION (CA-LRTI).. The Pediatric Infectious Disease Journal. 28. 142–142.1 indexed citations
17.
Verhaegen, Jan, et al.. (2006). Evaluation of the Giardia-strip: an in vitro immunochromatographic test for the detection of Giardia lamblia cysts in faecal specimens. Clinical Microbiology and Infection. 12. 1–1.1 indexed citations
18.
Peetermans, Willy, et al.. (2002). Breakthrough pneumococcal bacteremia in patients being treated with clarithromycin or amoxicillin/cClavulanate. Clinical Microbiology and Infection. 8. 77.1 indexed citations
19.
Lagrou, Katrien, Johan Van Eldere, Jan Verhaegen, & Willy Peetermans. (1999). Macrolide Resistance Phenotypes and Genotypes in Clinical Streptococcus pneumoniae isolates. Clinical Microbiology and Infection.1 indexed citations
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.