Gerry T. Snoek
- Cell Biology top 2%
- Cellular transport and secretion 19
- Endoplasmic Reticulum Stress and Disease 5
- Physiology top 5%
- Erythrocyte Function and Pathophysiology 4
- Calcium signaling and nucleotide metabolism 4
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling 11
- Lipid Membrane Structure and Behavior 11
- Biochemistry top 10%
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- Erythrocyte Function and Pathophysiology 4
- Calcium signaling and nucleotide metabolism 4
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- Pancreatic function and diabetes 9
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- Cannabis and Cannabinoid Research 5
- Co-authors
- K.W.A. WirtzAntony J. DurstonC. H. KosterJan WestermanKlaas Jan de VriesA.J.M. van den Eijnden-van RaaijClaudia M. van TielDanny Huylebroeck
- Journals
- Biochemical Journal (6 papers)Journal of Biological Chemistry (4 papers)Experimental Cell Research (4 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Gerry T. Snoek
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Cell Biology 580
- Physiology 71
- Molecular Biology 1.0k
- Biochemistry 81
- Physiology 174
Countries citing papers authored by Gerry T. Snoek
This map shows the geographic impact of Gerry T. Snoek'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 Gerry T. Snoek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerry T. Snoek more than expected).
Fields of papers citing papers by Gerry T. Snoek
This network shows the impact of papers produced by Gerry T. Snoek. 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 Gerry T. Snoek. The network helps show where Gerry T. Snoek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerry T. Snoek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 30 | |
| 2 | 2008 | 4 | |
| 3 | 2007 | 1 | |
| 4 | 2006 | 10 | |
| 5 | 2004 | 9 | |
| 6 | 2004 | 2 | |
| 7 | 2004 | 18 | |
| 8 | 2004 | 12 | |
| 9 | 2002 | 13 | |
| 10 | 2002 | 25 | |
| 11 | 2000 | 30 | |
| 12 | 2000 | 29 | |
| 13 | 1996 | 79 | |
| 14 | 1995 | 36 | |
| 15 | 1992 | 31 | |
| 16 | 1990 | 208 | |
| 17 | 1990 | 4 | |
| 18 | 1990 | 5 | |
| 19 | 1986 | 9 | |
| 20 | 1986 | 18 |
About Gerry T. Snoek
Gerry T. Snoek is a scholar working on Cell Biology, Physiology and Biochemistry, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (19 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Lipid Membrane Structure and Behavior (11 papers), Pancreatic function and diabetes (9 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Cannabis and Cannabinoid Research (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Calcium signaling and nucleotide metabolism (4 papers). The work is most often cited by research in Cell Biology (580 citations), Physiology (71 citations) and Molecular Biology (1.0k citations). Gerry T. Snoek has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include K.W.A. Wirtz, Antony J. Durston, C. H. Koster, Jan Westerman, Klaas Jan de Vries, A.J.M. van den Eijnden-van Raaij, Claudia M. van Tiel, Danny Huylebroeck, Arie P. Otte and Vytas A. Bankaitis. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Experimental Cell Research, FEBS Letters and Nature.
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.