Gerco Hassink

1.4k total citations
27 papers, 1.2k citations indexed

About

Gerco Hassink is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gerco Hassink has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Epidemiology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gerco Hassink's work include Ubiquitin and proteasome pathways (11 papers), Neuroscience and Neuropharmacology Research (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Gerco Hassink is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), Neuroscience and Neuropharmacology Research (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Gerco Hassink collaborates with scholars based in Netherlands, Italy and Sweden. Gerco Hassink's co-authors include Emmanuel J. H. J. Wiertz, Marjolein Kikkert, Sjaak van Voorden, Vincent Chau, Martine T. Barel, Rachel Avner, Joseph Roitelman, Min Dai, Ram Doolman and Kristina Lindsten and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Virology.

In The Last Decade

Gerco Hassink

27 papers receiving 1.1k citations

Peers

Gerco Hassink

MB

CB

EPIDE

IMMUN

ONCOL

Achim Werner United States

Marianne F. James United States

Christine Powers United States

Koichi Miki Japan

Cole Ferguson United States

Christoph S. Clemen Germany

Joseph Schober United States

Takahide Matsui Japan

Jean M. Wilson United States

Nuno Rocha United Kingdom

Achim Werner United States

Gerco Hassink

776 ×1.2

MB

218 ×0.5

CB

227 ×0.6

EPIDE

181 ×1.1

IMMUN

157 ×1.2

ONCOL

Citations per year, relative to Gerco Hassink Gerco Hassink (= 1×) peers Achim Werner

Countries citing papers authored by Gerco Hassink

Since Specialization

Citations

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

Fields of papers citing papers by Gerco Hassink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerco Hassink. 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 Gerco Hassink. The network helps show where Gerco Hassink may publish in the future.

Co-authorship network of co-authors of Gerco Hassink

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

All Works

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20 of 20 papers shown

1.

Hassink, Gerco, et al.. (2021). Consolidation of memory traces in cultured cortical networks requires low cholinergic tone, synchronized activity and high network excitability. Journal of Neural Engineering. 18(4). 46051–46051. 16 indexed citations

2.

Voogd, Eva J.H.F., Britt Mossink, Gerco Hassink, et al.. (2021). Neuroprotective effect of hypoxic preconditioning and neuronal activation in a in vitro human model of the ischemic penumbra. Journal of Neural Engineering. 18(3). 36016–36016. 24 indexed citations

3.

Strous, Ger J., et al.. (2020). Growth Hormone Receptor Regulation in Cancer and Chronic Diseases. Frontiers in Endocrinology. 11. 597573–597573. 36 indexed citations

4.

Hassink, Gerco, et al.. (2019). Mild stimulation improves neuronal survival in an in vitro model of the ischemic penumbra. Journal of Neural Engineering. 17(1). 16001–16001. 17 indexed citations

5.

Hassink, Gerco, Ine Segers‐Nolten, Richard van Wezel, et al.. (2018). Exogenous α-synuclein hinders synaptic communication in cultured cortical primary rat neurons. PLoS ONE. 13(3). e0193763–e0193763. 23 indexed citations

6.

Feber, Joost le, et al.. (2018). Evolution of Excitation–Inhibition Ratio in Cortical Cultures Exposed to Hypoxia. Frontiers in Cellular Neuroscience. 12. 183–183. 18 indexed citations

7.

Konings, Irene B. M., Heinrich Grabmayr, Gerco Hassink, et al.. (2016). Functionally different α-synuclein inclusions yield insight into Parkinson’s disease pathology. Scientific Reports. 6(1). 23116–23116. 29 indexed citations

8.

Altun, Mikael, Bin Zhao, Haiyin Liu, et al.. (2012). Ubiquitin-specific Protease 19 (USP19) Regulates Hypoxia-inducible Factor 1 alpha (HIF-1 alpha) during Hypoxia. Journal of Biological Chemistry. 287(3). 2 indexed citations

9.

Slotman, Johan A., Ana Carolina da Silva Almeida, Gerco Hassink, et al.. (2012). Ubc13 and COOH Terminus of Hsp70-interacting Protein (CHIP) Are Required for Growth Hormone Receptor Endocytosis. Journal of Biological Chemistry. 287(19). 15533–15543. 26 indexed citations

10.

Altun, Mikael, Bin Zhao, Haiyin Liu, et al.. (2011). Ubiquitin-specific Protease 19 (USP19) Regulates Hypoxia-inducible Factor 1α (HIF-1α) during Hypoxia. Journal of Biological Chemistry. 287(3). 1962–1969. 71 indexed citations

11.

Kerkhof, Peter van, et al.. (2010). SCFTrCP acts in endosomal sorting of the GH receptor. Experimental Cell Research. 317(7). 1071–1082. 10 indexed citations

12.

Hassink, Gerco, Bin Zhao, Ramakrishna Sompallae, et al.. (2009). The ER‐resident ubiquitin‐specific protease 19 participates in the UPR and rescues ERAD substrates. EMBO Reports. 10(7). 755–761. 128 indexed citations

13.

Hassink, Gerco, et al.. (2006). Ubiquitination of MHC Class I Heavy Chains Is Essential for Dislocation by Human Cytomegalovirus-encoded US2 but Not US11. Journal of Biological Chemistry. 281(40). 30063–30071. 38 indexed citations

14.

Kikkert, Marjolein, Gerco Hassink, & Emmanuel J. H. J. Wiertz. (2006). The Role of the Ubiquitination Machinery in Dislocation and Degradation of Endoplasmic Reticulum Proteins. Current topics in microbiology and immunology. 300. 57–93. 6 indexed citations

15.

Hassink, Gerco, Danijela Koppers‐Lalic, Daphne van Leeuwen, et al.. (2005). Rat Cytomegalovirus Induces a Temporal Downregulation of Major Histocompatibility Complex Class I Cell Surface Expression. Viral Immunology. 18(4). 607–615. 6 indexed citations

16.

Barel, Martine T., Gerco Hassink, Sjaak van Voorden, & Emmanuel J. H. J. Wiertz. (2005). Human cytomegalovirus-encoded US2 and US11 target unassembled MHC class I heavy chains for degradation. Molecular Immunology. 43(8). 1258–1266. 21 indexed citations

17.

Kikkert, Marjolein, Ram Doolman, Min Dai, et al.. (2004). Human HRD1 Is an E3 Ubiquitin Ligase Involved in Degradation of Proteins from the Endoplasmic Reticulum. Journal of Biological Chemistry. 279(5). 3525–3534. 315 indexed citations

18.

Kikkert, Marjolein, Gerco Hassink, Martine T. Barel, et al.. (2001). Ubiquitination is essential for human cytomegalovirus US11-mediated dislocation of MHC class I molecules from the endoplasmic reticulum to the cytosol. Biochemical Journal. 358(2). 369–377. 48 indexed citations

19.

Kikkert, Marjolein, Gerco Hassink, Martine T. Barel, et al.. (2001). Ubiquitination is essential for human cytomegalovirus US11-mediated dislocation of MHC class I molecules from the endoplasmic reticulum to the cytosol. Biochemical Journal. 358(2). 369–369. 78 indexed citations

20.

Hassink, Gerco, et al.. (1999). Ontogeny of neurotrophin receptor TrkC expression in the rat forebrain and anterior hypothalamus with emphasis on the suprachiasmatic nucleus. Neuroscience. 92(2). 705–712. 13 indexed citations

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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