Eke G. Gruppen

2.2k citations
53 papers · 1.5k indexed · h-index 22
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)Liver Disease Diagnosis and Treatment (14 papers)Lipoproteins and Cardiovascular Health (11 papers)

In The Last Decade

Eke G. Gruppen

51 papers receiving 1.5k citations

Peers

Eke G. Gruppen
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 549
  • Epidemiology 457
  • Molecular Biology 454
  • Physiology 378
  • Surgery 283
Replace Laura Schreier with:
Laura Schreier Argentina
Justyna Wolak-Dinsmore United States
Christina Kostara Greece
Aleksandra Klisić Montenegro
Francesca Pizzolo Italy
Valdis Pīrāgs Latvia
Jose L. Flores‐Guerrero Netherlands
Haoyong Yu China
Chiara Stranieri Italy
Sandra O. Hernández‐González Mexico
Eke G. Gruppen relative to Laura Schreier Argentina Laura Schreier's profile →
Citations per field
00.5×1.5×2.4×
Laura Schreier · 1×
Citations per year

Countries citing papers authored by Eke G. Gruppen

Since Specialization
Citations

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

Fields of papers citing papers by Eke G. Gruppen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eke G. Gruppen. 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 Eke G. Gruppen. The network helps show where Eke G. Gruppen may publish in the future.

Co-authorship network of co-authors of Eke G. Gruppen

This figure shows the co-authorship network connecting the top 25 collaborators of Eke G. Gruppen. A scholar is included among the top collaborators of Eke G. Gruppen 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 Eke G. Gruppen. Eke G. Gruppen 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 8
2 1
3 6
4 9
5 5
6 9
7 4
8 13
9 5
10 31
11 8
12 18
13 17
14 18
15 16
16 33
17 7
18 117
19 20
20 39

About Eke G. Gruppen

Eke G. Gruppen is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Nephrology, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Liver Disease Diagnosis and Treatment (14 papers) and Lipoproteins and Cardiovascular Health (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (549 citations), Clinical Biochemistry (116 citations) and Physiology (378 citations). Eke G. Gruppen has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Stephan J. L. Bakker, Margery A. Connelly, Robin P. F. Dullaart, James D. Otvos, Robin P.F. Dullaart, Uwe J.F. Tietge, Jose L. Flores‐Guerrero, Justyna Wolak-Dinsmore, Erwin Garcia and Irina Shalaurova. Their work appears in journals such as Circulation, PLoS ONE and American Journal of Clinical Nutrition.

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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