Philip J. de Groot

1.9k citations
16 papers · 1.6k indexed · h-index 15
Topics
Peroxisome Proliferator-Activated Receptors (5 papers)Adipose Tissue and Metabolism (5 papers)Bioinformatics and Genomic Networks (4 papers)

In The Last Decade

Philip J. de Groot

16 papers receiving 1.6k citations

Peers

Philip J. de Groot
Comparison fields: 5 of 112
  • Molecular Biology 996
  • Physiology 402
  • Epidemiology 229
  • Food Science 219
  • Nutrition and Dietetics 197
Replace Eunha Kim with:
Eunha Kim South Korea
Mark Fitch United States
Xiaotong Zhu China
S Fujimura Japan
Kimberly A. Krautkramer United States
Demin Cai China
Feng‐Qi Zhao United States
Candace M. Cham United States
Julián Ávila-Pacheco United States
Amanda Rabello Crisma Brazil
Philip J. de Groot relative to Eunha Kim South Korea Eunha Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philip J. de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. de Groot. 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 Philip J. de Groot. The network helps show where Philip J. de Groot may publish in the future.

Co-authorship network of co-authors of Philip J. de Groot

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 7
2 121
3 105
4 35
5 125
6 56
7 115
8 318
9 90
10 51
11 152
12 25
13 102
14 60
15 182
16 39

About Philip J. de Groot

Philip J. de Groot is a scholar working on Physiology, Molecular Biology and Clinical Biochemistry, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Adipose Tissue and Metabolism (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Physiology (402 citations), Molecular Biology (996 citations) and Nutrition and Dietetics (197 citations). Philip J. de Groot has collaborated with scholars based in Netherlands, United Kingdom and Finland. Frequent co-authors include Michael Müller, Guido Hooiveld, Sander Kersten, Linda M. Sanderson, Carsten Carlberg, Peter van Baarlen, Michiel Kleerebezem, Freddy J. Troost, Robert J. Brummer and Saskia van Hemert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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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