Christa M. Cobbaert

7.9k citations
221 papers · 4.1k indexed · h-index 35

Christa M. Cobbaert

213 papers receiving 4.0k citations

Peers

Christa M. Cobbaert
Comparison fields: 5 of 153
  • Nephrology 396
  • Endocrinology, Diabetes and Metabolism 819
  • Statistics, Probability and Uncertainty 302
  • Physiology 872
  • Cardiology and Cardiovascular Medicine 659
Replace Cas Weykamp with:
Cas Weykamp Netherlands
Linda M. Thienpont Belgium
Ken Sikaris Australia
Martina Zaninotto Italy
Kjell Grankvist Sweden
Elisa Danese Italy
Vladimír Palička Czechia
Peter E. Hickman Australia
Michael Laposata United States
Joseph P. McConnell United States
Christa M. Cobbaert relative to Cas Weykamp Netherlands Cas Weykamp's profile →
Citations per field
00.5×
Cas Weykamp · 1×
Citations per year

Countries citing papers authored by Christa M. Cobbaert

Since Specialization
Citations

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

Fields of papers citing papers by Christa M. Cobbaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christa M. Cobbaert. 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 Christa M. Cobbaert. The network helps show where Christa M. Cobbaert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
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19
Serum lipid levels in a Pygmy and Bantu population sample from Cameroon
19976
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Extra myoglobin peaks corroborate the diagnosis of stuttering infarction
19931

About Christa M. Cobbaert

Christa M. Cobbaert is a scholar working on Statistics, Probability and Uncertainty, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 221 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (46 papers), Clinical Laboratory Practices and Quality Control (38 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers), Advanced Proteomics Techniques and Applications (20 papers), Health Systems, Economic Evaluations, Quality of Life (18 papers), Meta-analysis and systematic reviews (18 papers), Acute Kidney Injury Research (15 papers) and Acute Myocardial Infarction Research (15 papers). The work is most often cited by research in Nephrology (396 citations), Endocrinology, Diabetes and Metabolism (819 citations) and Statistics, Probability and Uncertainty (302 citations). Christa M. Cobbaert has collaborated with scholars based in Netherlands, Belgium and Germany. Frequent co-authors include L. Renee Ruhaak, Cas Weykamp, Arnoud van der Laarse, Fred P.H.T.M. Romijn, Nico P.M. Smit, Yuri E. M. van der Burgt, J. Wouter Jukema, Hugo Kesteloot, Rob Jansen and H Baadenhuijsen. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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