Steven Thijsen

90 papers receiving 2.8k citations

Peers

Steven Thijsen
Comparison fields: 5 of 115
  • Applied Microbiology and Biotechnology 152
  • Infectious Diseases 1.1k
  • Critical Care and Intensive Care Medicine 242
  • Molecular Medicine 229
  • Epidemiology 1.1k
Replace Carlos Cervera with:
Carlos Cervera Spain
Vicente Pintado Spain
Royce H. Johnson United States
Hasan S. Jafri United States
Florence Ader France
Carmen Quereda Spain
Stefan Reuter Germany
Young Keun Kim South Korea
Paola Di Carlo Italy
Hannu Syrjälä Finland
Steven Thijsen relative to Carlos Cervera Spain Carlos Cervera's profile →
Citations per field
00.5×2.9×
Carlos Cervera · 1×
Citations per year

Countries citing papers authored by Steven Thijsen

Since Specialization
Citations

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

Fields of papers citing papers by Steven Thijsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001285
2 2015247
3 2006207
4 2005153
5 2007122
6 2009122
7 2011112
8 201393
9 200991
10 200682
11 202078
12 200171
13 201071
14 201367
15 200346
16 201742
17 201640
18 201338
19 201437
20 200535

About Steven Thijsen

Steven Thijsen is a scholar working on Infectious Diseases, Epidemiology, Parasitology, Surgery and Public Health, Environmental and Occupational Health, having authored 95 papers that have together received 2.9k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (15 papers), Tuberculosis Research and Epidemiology (13 papers), Infectious Diseases and Tuberculosis (9 papers), Viral Infections and Vectors (9 papers), Antibiotic Resistance in Bacteria (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Respiratory viral infections research (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (152 citations), Infectious Diseases (1.1k citations), Critical Care and Intensive Care Medicine (242 citations), Molecular Medicine (229 citations) and Epidemiology (1.1k citations). Steven Thijsen has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Marc J. M. Bonten, Anton M. van Loon, Jan Jelrik Oosterheert, Andy I. M. Hoepelman, Leontine J. R. van Elden, John J. M. Bouwman, Jan Kluytmans, Ailko Bossink, Hubert G.M. Niesters and Aik Bossink. Their work appears in journals such as Clinical Microbiology and Infection, Clinical and Vaccine Immunology, Eurosurveillance, European Journal of Clinical Microbiology & Infectious Diseases and American Journal of Respiratory and Critical Care Medicine.

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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