Coert J. Zuurbier

118 papers receiving 5.4k citations

Hit Papers

Empagliflozin decreases myocardial cytoplasmic Na+ throug...2016202620192022201620172022100200300400

Peers

Coert J. Zuurbier
Comparison fields: 5 of 127
  • Molecular Biology 2.1k
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Cardiology and Cardiovascular Medicine 1.5k
  • Surgery 1.4k
  • Pathology and Forensic Medicine 874
Replace Motoaki Sano with:
Motoaki Sano Japan
Katsuo Kanmatsuse Japan
Nina C. Weber Netherlands
Takayuki Miki Japan
Xinliang Ma United States
Carl S. Apstein United States
Fabio A. Recchia United States
Hartmut Oßwald Germany
Cesare Orlandi United States
Theodore J. Kalogeris United States
Coert J. Zuurbier relative to Motoaki Sano Japan Motoaki Sano's profile →
Citations per field
00.5×1.5×1.8×
Motoaki Sano · 1×
Citations per year

Countries citing papers authored by Coert J. Zuurbier

Since Specialization
Citations

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

Fields of papers citing papers by Coert J. Zuurbier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Coert J. Zuurbier

This figure shows the co-authorship network connecting the top 25 collaborators of Coert J. Zuurbier. A scholar is included among the top collaborators of Coert J. Zuurbier 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 Coert J. Zuurbier. Coert J. Zuurbier 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
1 0
2 6
3 0
4 7
5 15
6 1
7 81
8 53
9 146
10 54
11 68
12 14
13 12
14 56
15 44
16 25
17 8
18 80
19 105
20 50

About Coert J. Zuurbier

Coert J. Zuurbier is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 122 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (44 papers), Diabetes Treatment and Management (29 papers) and Pancreatic function and diabetes (23 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Developmental Neuroscience (290 citations) and Cardiology and Cardiovascular Medicine (1.5k citations). Coert J. Zuurbier has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Markus W. Hollmann, Ruben Coronel, Nina C. Weber, Cees A. Schumacher, Antonius Baartscheer, Anneke Koeman, Jan W.T. Fiolet, Peter A. Huijing, Can İnce and Otto Eerbeek. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine 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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