Marc Thelen

61 papers receiving 935 citations

Peers

Marc Thelen
Comparison fields: 5 of 117
  • Statistics, Probability and Uncertainty 138
  • Medical Laboratory Technology 26
  • Physiology 364
  • Nephrology 86
  • Health Informatics 14
Replace Pika Meško Brguljan with:
Pika Meško Brguljan Slovenia
Sara Pasqualetti Italy
Fernándo Marqués-García Spain
Jill Tate Australia
Sheshadri Narayanan United States
Chris S. Jensen United States
Emma English United Kingdom
Onno W. van Assendelft Netherlands
J. David Bessman United States
Barbara De la Salle United Kingdom
Marc Thelen relative to Pika Meško Brguljan Slovenia Pika Meško Brguljan's profile →
Citations per field
00.5×3.6×
Pika Meško Brguljan · 1×
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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200193
2 201676
3 199753
4 201749
5 202343
6 202040
7 201538
8 201334
9 201728
10 202326
11 202025
12 201625
13 201625
14 201623
15 201822
16 201822
17 202221
18 202419
19 201718
20 199418

About Marc Thelen

Marc Thelen is a scholar working on Physiology, Statistics, Probability and Uncertainty, Surgery, Nephrology and Medical Laboratory Technology, having authored 65 papers that have together received 957 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 Statistics, Probability and Uncertainty (138 citations), Medical Laboratory Technology (26 citations), Physiology (364 citations), Nephrology (86 citations) and Health Informatics (14 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, Pika Meško Brguljan, Francisco A. Bernabéu-Andréu, Guilaine Boursier and Sjoerd A.A. van den Berg. 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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