Marc Thelen

77 papers receiving 1.2k citations

Peers

Marc Thelen
Comparison fields: 5 of 125
  • Statistics, Probability and Uncertainty 178
  • Medical Laboratory Technology 33
  • Physiology 452
  • Nephrology 102
  • Health Informatics 17
Replace Sara Pasqualetti with:
Sara Pasqualetti Italy
Ana K. Stanković United States
Pål Rustad Norway
Barbara De la Salle United Kingdom
Jean-Claude Libeer Belgium
Charles D. Hawker United States
Fernándo Marqués-García Spain
P H Petersen Denmark
Ari Lahti Norway
Graham White Australia
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Citations per field
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Citations per year

Countries citing papers authored by Marc Thelen

Since Specialization
Citations

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

Fields of papers citing papers by Marc Thelen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200194
2 201687
3 201762
4 202055
5 202354
6 199754
7 201543
8 201339
9 202336
10 201632
11 202030
12 201629
13 201728
14 201626
15 202224
16 201824
17 202423
18 201823
19 201720
20 202320

About Marc Thelen

Marc Thelen is a scholar working on Physiology, Statistics, Probability and Uncertainty, Medical Laboratory Technology, Nephrology and Obstetrics and Gynecology, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (33 papers), Meta-analysis and systematic reviews (10 papers), Hemodynamic Monitoring and Therapy (8 papers), Quality and Safety in Healthcare (8 papers), Chronic Kidney Disease and Diabetes (6 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Gestational Diabetes Research and Management (4 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (178 citations), Medical Laboratory Technology (33 citations), Physiology (452 citations), Nephrology (102 citations) and Health Informatics (17 citations). Marc Thelen has collaborated with scholars based in Netherlands, Italy and Belgium. Frequent co-authors include Cornelis van Hardeveld, Christa M. Cobbaert, Alice Muller, Warner S. Simonides, C. Gerard van der Linden, Cas W. Weykamp, Francisco A. Bernabéu-Andréu, Pika Meško Brguljan, Sjoerd A.A. van den Berg and Florent J.L.A. Vanstapel. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Chemistry, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 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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