Gerard C.M. van der Zon

1.2k citations
32 papers · 972 indexed · h-index 15
Topics
Metabolism, Diabetes, and Cancer (18 papers)Protein Kinase Regulation and GTPase Signaling (11 papers)Pancreatic function and diabetes (9 papers)

In The Last Decade

Gerard C.M. van der Zon

32 papers receiving 948 citations

Peers

Gerard C.M. van der Zon
Comparison fields: 5 of 82
  • Molecular Biology 648
  • Surgery 162
  • Physiology 152
  • Endocrinology, Diabetes and Metabolism 116
  • Cell Biology 116
Replace Chin K. Sung with:
Chin K. Sung United States
Sebastian Brachs Germany
Monique Agrapart France
Virginie M.S. Betin United Kingdom
Ingrid Espinoza United States
B Dieckmann United States
Robert E. Corin United States
Hisashi Hashimoto Japan
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Gerard C.M. van der Zon relative to Chin K. Sung United States Chin K. Sung's profile →
Citations per field
00.5×6.4×
Chin K. Sung · 1×
Citations per year

Countries citing papers authored by Gerard C.M. van der Zon

Since Specialization
Citations

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

Fields of papers citing papers by Gerard C.M. van der Zon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard C.M. van der Zon. 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 Gerard C.M. van der Zon. The network helps show where Gerard C.M. van der Zon may publish in the future.

Co-authorship network of co-authors of Gerard C.M. van der Zon

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard C.M. van der Zon. A scholar is included among the top collaborators of Gerard C.M. van der Zon 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 Gerard C.M. van der Zon. Gerard C.M. van der Zon 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 6
2 4
3 11
4 32
5 5
6
Sustained activation of the mTOR nutrient sensing pathway associates with hepatic insulin resistance but not with steatosis per se in mice
1
7 48
8 9
9 29
10 5
11 6
12 64
13 20
14 8
15 13
16 40
17 6
18 13
19 21
20 24

About Gerard C.M. van der Zon

Gerard C.M. van der Zon is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 32 papers that have together received 972 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (18 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Pancreatic function and diabetes (9 papers). The work is most often cited by research in Parasitology (78 citations), Molecular Biology (648 citations) and Cell Biology (116 citations). Gerard C.M. van der Zon has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include J. A. Maassen, D. Margriet Ouwens, René H. Medema, Johannes L. Bos, Alida M.M. de Vries-Smits, J. Antonie Maassen, Bruno Guigas, Ingrid M. Jazet, W. Möller and Leonie Hussaarts. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and The Journal of Clinical Endocrinology & Metabolism.

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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