Marc Thelen

62 papers receiving 959 citations

Peers

Marc Thelen
Comparison fields: 5 of 120
  • Medical Laboratory Technology 30
  • Statistics, Probability and Uncertainty 142
  • Physiology 370
  • Nephrology 87
  • Health Informatics 15
Replace Elena Guerra with:
Elena Guerra Italy
Sara Pasqualetti Italy
Chris S. Jensen United States
Jill Tate Australia
Onno W. van Assendelft Netherlands
Barbara De la Salle United Kingdom
J. David Bessman United States
Mauro Buttarello Italy
Ruth M Ayling United Kingdom
Sherry Woodhouse United States
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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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200196
2 201677
3 199754
4 201751
5 202343
6 202043
7 201538
8 201334
9 201728
10 202327
11 201627
12 201626
13 202025
14 201823
15 201623
16 201822
17 202221
18 199419
19 202419
20 201718

About Marc Thelen

Marc Thelen is a scholar working on Physiology, Statistics, Probability and Uncertainty, Surgery, Nephrology and Medical Laboratory Technology, having authored 66 papers that have together received 984 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (22 papers), Quality and Safety in Healthcare (8 papers), Meta-analysis and systematic reviews (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Hemodynamic Monitoring and Therapy (6 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Muscle Physiology and Disorders (3 papers) and Gestational Diabetes Research and Management (3 papers). The work is most often cited by research in Medical Laboratory Technology (30 citations), Statistics, Probability and Uncertainty (142 citations), Physiology (370 citations), Nephrology (87 citations) and Health Informatics (15 citations). Marc Thelen has collaborated with scholars based in Netherlands, Spain and Italy. Frequent co-authors include Cornelis van Hardeveld, Christa M. Cobbaert, Alice Muller, Warner S. Simonides, C. Gerard van der Linden, Cas Weykamp, Florent Vanstapel, Francisco A. Bernabéu-Andréu, Pika Meško Brguljan and Guilaine Boursier. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Clinical Chemistry and Biochemical Journal.

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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