Johan Frans

31 papers receiving 709 citations

Peers

Johan Frans
Comparison fields: 5 of 92
  • Critical Care and Intensive Care Medicine 105
  • Geriatrics and Gerontology 65
  • Clinical Biochemistry 91
  • Infectious Diseases 196
  • Health Informatics 13
Replace Enqiang Qin with:
Enqiang Qin China
Lewis McCurdy United States
Tomas Vikerfors Sweden
Mar Ortega Spain
Emily Godbout United States
Silvia Spoto Italy
Ahmet Çağkan İnkaya Türkiye
Menno M. van der Eerden Netherlands
Kentaro Iwata Japan
Joshua Wolf United States
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Citations per field
00.5×8.3×
Enqiang Qin · 1×
Citations per year

Countries citing papers authored by Johan Frans

Since Specialization
Citations

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

Fields of papers citing papers by Johan Frans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Johan Frans, 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 Johan Frans Line = papers co-authored together Johan Frans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014119
2 2020117
3 2020106
4 201240
5 201537
6 200932
7 200427
8 202027
9 202022
10 201820
11 202117
12 201017
13 200515
14 201815
15 202014
16 201914
17 201913
18 200312
19 200112
20 201210

About Johan Frans

Johan Frans is a scholar working on Epidemiology, Infectious Diseases, Oncology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 737 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (6 papers), Streptococcal Infections and Treatments (5 papers), COVID-19 diagnosis using AI (4 papers), Neonatal and Maternal Infections (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), COVID-19 and healthcare impacts (3 papers), S100 Proteins and Annexins (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (105 citations), Geriatrics and Gerontology (65 citations), Clinical Biochemistry (91 citations), Infectious Diseases (196 citations) and Health Informatics (13 citations). Johan Frans has collaborated with scholars based in Belgium, South Korea and Australia. Frequent co-authors include Annick Smismans, Rolf Symons, Michaël R. Laurent, Veerle Moons, Peter Bossuyt, Pieter‐Jan Cuyle, Jan Verhaegen, Erwin Ho, Reinoud Cartuyvels and Geert D’Haens. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Clinical Radiology, Radiology Cardiothoracic Imaging, Gastroenterology and Journal of Clinical Microbiology.

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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