Pleun de Groen

2.8k total citations
10 papers, 159 citations indexed

About

Pleun de Groen is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Pleun de Groen has authored 10 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 4 papers in Genetics. Recurrent topics in Pleun de Groen's work include Diabetes Management and Research (5 papers), Diabetes and associated disorders (4 papers) and Pancreatic function and diabetes (4 papers). Pleun de Groen is often cited by papers focused on Diabetes Management and Research (5 papers), Diabetes and associated disorders (4 papers) and Pancreatic function and diabetes (4 papers). Pleun de Groen collaborates with scholars based in Netherlands, United States and United Kingdom. Pleun de Groen's co-authors include Emil Jovanov, Steve Warren, Benny Johnson, Chris Otto, Aleksandar Milenković, Elena Rampanelli, Max Nieuwdorp, Nordin M.J. Hanssen, C. Bruce Verchere and Bart O. Roep and has published in prestigious journals such as Diabetes Care, Diabetes and International Journal of Molecular Sciences.

In The Last Decade

Pleun de Groen

10 papers receiving 145 citations

Peers

Pleun de Groen
Comparison fields: 5 of 39
  • Biomedical Engineering 107
  • Computer Networks and Communications 66
  • Computer Vision and Pattern Recognition 39
  • Electrical and Electronic Engineering 34
  • Endocrinology, Diabetes and Metabolism 20
Replace Baoshi Han with:
Baoshi Han China
David Turgis France
Jessica Sena Brazil
Tahia Tazin Bangladesh
Hang Yu China
Mahmood Khayatzadeh Singapore
Anne Julien‐Vergonjanne France
Hamideh Kerdegari Malaysia
Yoshiyuki Mochizuki Japan
Rohan Banerjee India
Baoshi Han China View profile →
Citations per field, relative to Pleun de Groen
Pleun de Groen · 1×
Citations per year, relative to Pleun de Groen
Pleun de Groen · 1×

Countries citing papers authored by Pleun de Groen

Since Specialization
Citations

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

Fields of papers citing papers by Pleun de Groen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pleun de Groen. 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 Pleun de Groen. The network helps show where Pleun de Groen may publish in the future.

Co-authorship network of co-authors of Pleun de Groen

This figure shows the co-authorship network connecting the top 25 collaborators of Pleun de Groen. A scholar is included among the top collaborators of Pleun de Groen 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 Pleun de Groen. Pleun de Groen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 3
3 1
4 2
5 4
6 14
7 1
8 1
9 131
10 1

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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