Jan Y. Verbakel

12.0k citations
134 papers · 4.9k indexed · 4 hit papers · h-index 28
Topics
Antibiotic Use and Resistance (18 papers)Emergency and Acute Care Studies (16 papers)Sepsis Diagnosis and Treatment (16 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Jan Y. Verbakel

126 papers receiving 4.8k citations

Hit Papers

A systematic review shows no performance benefit of machi...201820262020202320192018202320222505007501000

Peers

Jan Y. Verbakel
Comparison fields: 5 of 182
  • Epidemiology 1.0k
  • Surgery 631
  • Pulmonary and Respiratory Medicine 612
  • Public Health, Environmental and Occupational Health 574
  • Cardiology and Cardiovascular Medicine 432
Replace Varda Shalev with:
Varda Shalev Israel
Justin Clark Australia
Maarten van Smeden Netherlands
Joris A. H. de Groot Netherlands
Thomas P. A. Debray Netherlands
Kym I E Snell United Kingdom
Lucas M. Bachmann Switzerland
Nirav R. Shah United States
Emmanuel Lesaffre Belgium
Benjamin Littenberg United States
Jan Y. Verbakel relative to Varda Shalev Israel Varda Shalev's profile →
Citations per field
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Varda Shalev · 1×
Citations per year

Countries citing papers authored by Jan Y. Verbakel

Since Specialization
Citations

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

Fields of papers citing papers by Jan Y. Verbakel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Y. Verbakel. 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 Y. Verbakel. The network helps show where Jan Y. Verbakel may publish in the future.

Co-authorship network of co-authors of Jan Y. Verbakel

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Y. Verbakel. A scholar is included among the top collaborators of Jan Y. Verbakel 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 Y. Verbakel. Jan Y. Verbakel 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
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Reporting and Interpreting Decision Curve Analysis: A Guide for Investigatorsbreakdown →
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Super Audio CD Format
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About Jan Y. Verbakel

Jan Y. Verbakel is a scholar working on Applied Microbiology and Biotechnology, Family Practice and Reproductive Medicine, having authored 134 papers that have together received 4.9k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (18 papers), Emergency and Acute Care Studies (16 papers) and Sepsis Diagnosis and Treatment (16 papers). The work is most often cited by research in Health Informatics (170 citations), Applied Microbiology and Biotechnology (232 citations) and Obstetrics and Gynecology (431 citations). Jan Y. Verbakel has collaborated with scholars based in Belgium, United Kingdom and Netherlands. Frequent co-authors include Ben Van Calster, Ewout W. Steyerberg, Evangelia Christodoulou, Gary S. Collins, Jie Ma, Laure Wynants, Andrew J. Vickers, Jan Verbeek, Monique J. Roobol and Ann Van den Bruel. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

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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