Ton J. Cleophas

3.5k citations
149 papers · 1.6k indexed · h-index 22
Topics
Statistical Methods in Clinical Trials (32 papers)Blood Pressure and Hypertension Studies (23 papers)Health Systems, Economic Evaluations, Quality of Life (22 papers)

In The Last Decade

Ton J. Cleophas

138 papers receiving 1.4k citations

Peers

Ton J. Cleophas
Comparison fields: 5 of 191
  • Cardiology and Cardiovascular Medicine 391
  • Surgery 193
  • Physiology 171
  • Pathology and Forensic Medicine 153
  • Epidemiology 131
Replace Xiaofeng Wang with:
Xiaofeng Wang United States
Mitchell Levine Canada
Danh V. Nguyen United States
Alok Dwivedi United States
Chirag J. Patel United States
Amand F. Schmidt United Kingdom
Ulrich Grouven Germany
D Spiegelhalter United Kingdom
Timothy Collier United Kingdom
Jennifer Ng United States
Ton J. Cleophas relative to Xiaofeng Wang United States Xiaofeng Wang's profile →
Citations per field
00.5×1.5×
Xiaofeng Wang · 1×
Citations per year

Countries citing papers authored by Ton J. Cleophas

Since Specialization
Citations

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

Fields of papers citing papers by Ton J. Cleophas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ton J. Cleophas. 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 Ton J. Cleophas. The network helps show where Ton J. Cleophas may publish in the future.

Co-authorship network of co-authors of Ton J. Cleophas

This figure shows the co-authorship network connecting the top 25 collaborators of Ton J. Cleophas. A scholar is included among the top collaborators of Ton J. Cleophas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ton J. Cleophas. Ton J. Cleophas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 0
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5 8
6 16
7 8
8 4
9 1
10 19
11 1
12 5
13 9
14 16
15 3
16 12
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18 11
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20 25

About Ton J. Cleophas

Ton J. Cleophas is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Cardiology and Cardiovascular Medicine, having authored 149 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (32 papers), Blood Pressure and Hypertension Studies (23 papers) and Health Systems, Economic Evaluations, Quality of Life (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (391 citations), Health Informatics (20 citations) and Statistics and Probability (113 citations). Ton J. Cleophas has collaborated with scholars based in Netherlands, Gabon and United States. Frequent co-authors include Aeilko H. Zwinderman, Menco G. Niemeyer, Jan van der Meulen, Ernst E. van der Wall, Rob J. van Marum, Frans Kauw, Masoor Kamalesh, A. H. Zwinderman, Gerard Stapper and Henk J.J. van Lier. Their work appears in journals such as JAMA, Circulation and Blood.

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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