Jan Serroyen

2.0k citations
44 papers · 1.2k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Jan Serroyen

42 papers receiving 1.2k citations

Hit Papers

A simple formula for the calculation of sample size in pilot studies 2015 · 361 citations
3612015202620182022100200300

Peers

Jan Serroyen
Comparison fields: 5 of 158
  • Rheumatology 177
  • Urology 58
  • Infectious Diseases 138
  • Cardiology and Cardiovascular Medicine 152
  • Epidemiology 219
Replace Handan Ankaralı with:
Handan Ankaralı Türkiye
Liang Du China
Muin J. Khoury United States
Aijing Shang Switzerland
Mojtaba Akbari Iran
Byung‐Soo Kim South Korea
Satish Kumar United States
Marleen M. H. J. van Gelder Netherlands
Esther J van Zuuren Netherlands
R. Hirsch United States
Jan Serroyen relative to Handan Ankaralı Türkiye Handan Ankaralı's profile →
Citations per field
00.5×1.5×1.9×
Handan Ankaralı · 1×
Citations per year

Countries citing papers authored by Jan Serroyen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Serroyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jan Serroyen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Serroyen Line = papers co-authored together Jan Serroyen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20241
4 202311
5 20231
6 202113
7 202020
8 20194
9 201919
10 201818
11 201814
12 201810
13 201546
14 201415
15 20133
16 20120
17 201158
18 201022
19 200944
20 200838

About Jan Serroyen

Jan Serroyen is a scholar working on Infectious Diseases, Developmental Biology, Statistics and Probability, Anesthesiology and Pain Medicine and Urology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Respiratory viral infections research (5 papers), Viral Infections and Outbreaks Research (4 papers), Pelvic floor disorders treatments (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Rheumatology (177 citations), Urology (58 citations), Infectious Diseases (138 citations), Cardiology and Cardiovascular Medicine (152 citations) and Epidemiology (219 citations). Jan Serroyen has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Luc Smits, Mark Spigt, Luc Budé, Daniel Kotz, Wolfgang Viechtbauer, Rik Crutzen, Mirjam Weemhoff, Frans J.M.E. Roumen, Geert Molenberghs and Roland Zahn. Their work appears in journals such as Vaccine, npj Vaccines, Vaccines, International Urogynecology Journal and The Journal of Urology.

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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