Gerard C.M. van der Zon
- Molecular Biology
- Surgery
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Cell Biology top 10%
- Co-authors
- J. A. MaassenD. Margriet OuwensRené H. MedemaJohannes L. BosAlida M.M. de Vries-SmitsJ. Antonie MaassenBruno GuigasIngrid M. Jazet
- Topics
- Metabolism, Diabetes, and Cancer (18 papers)Protein Kinase Regulation and GTPase Signaling (11 papers)Pancreatic function and diabetes (9 papers)
- Journals
- Journal of Biological ChemistryMolecular and Cellular BiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- NetherlandsGermanyBelgium
In The Last Decade
Gerard C.M. van der Zon
32 papers receiving 948 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 648
- Surgery 162
- Physiology 152
- Endocrinology, Diabetes and Metabolism 116
- Cell Biology 116
Countries citing papers authored by Gerard C.M. van der Zon
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
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
| # | Work | Indexed 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.