Tim Snoek

2.2k total citations
10 papers, 1.4k citations indexed

About

Tim Snoek is a scholar working on Molecular Biology, Food Science and Biomedical Engineering. According to data from OpenAlex, Tim Snoek has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Food Science and 2 papers in Biomedical Engineering. Recurrent topics in Tim Snoek's work include Fungal and yeast genetics research (6 papers), Fermentation and Sensory Analysis (5 papers) and CRISPR and Genetic Engineering (4 papers). Tim Snoek is often cited by papers focused on Fungal and yeast genetics research (6 papers), Fermentation and Sensory Analysis (5 papers) and CRISPR and Genetic Engineering (4 papers). Tim Snoek collaborates with scholars based in Belgium, Denmark and United States. Tim Snoek's co-authors include Kevin J. Verstrepen, Jan Steensels, Karin Voordeckers, Esther Meersman, Martina Picca Nicolino, Karel Bezstarosti, Raymond A. Poot, Nicholas P. Mullin, Adam Yates and Debbie L. C. van den Berg and has published in prestigious journals such as Nucleic Acids Research, Applied and Environmental Microbiology and Cell stem cell.

In The Last Decade

Tim Snoek

10 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tim Snoek Belgium	10	1.2k	368	249	208	108	10	1.4k
M. Aigle France	20	1.0k 0.9×	446 1.2×	173 0.7×	468 2.3×	71 0.7×	27	1.3k
Arthur L. Kruckeberg Netherlands	17	1.2k 1.0×	230 0.6×	363 1.5×	401 1.9×	93 0.9×	24	1.3k
Steen Holmberg Denmark	27	1.6k 1.4×	390 1.1×	162 0.7×	371 1.8×	103 1.0×	44	1.8k
M C Brandriss United States	28	1.5k 1.3×	220 0.6×	176 0.7×	322 1.5×	128 1.2×	44	1.7k
Hans‐Joachim Schüller Germany	23	1.7k 1.5×	118 0.3×	391 1.6×	217 1.0×	34 0.3×	41	1.9k
Marta Rubio‐Texeira Belgium	16	926 0.8×	155 0.4×	223 0.9×	232 1.1×	85 0.8×	20	1.1k
Laura Frontali Italy	26	1.7k 1.5×	94 0.3×	229 0.9×	165 0.8×	107 1.0×	82	1.9k
Vivien Measday Canada	17	1.1k 0.9×	128 0.3×	54 0.2×	317 1.5×	56 0.5×	37	1.2k
Odile Ozier-Kalogéropoulos France	12	1.9k 1.6×	111 0.3×	130 0.5×	294 1.4×	132 1.2×	17	2.1k
Luca Brambilla Italy	15	566 0.5×	69 0.2×	242 1.0×	65 0.3×	18 0.2×	26	678

Countries citing papers authored by Tim Snoek

Since Specialization

Citations

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

Fields of papers citing papers by Tim Snoek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Snoek

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

All Works

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10 of 10 papers shown

Snoek, Tim, Stefan Kol, Sara Petersen Bjørn, et al.. (2019). Evolution-guided engineering of small-molecule biosensors. Nucleic Acids Research. 48(1). e3–e3. 98 indexed citations

Snoek, Tim, Jie Zhang, M. Skjoedt, et al.. (2018). An Orthogonal and pH-Tunable Sensor-Selector for Muconic Acid Biosynthesis in Yeast. ACS Synthetic Biology. 7(4). 995–1003. 54 indexed citations

Snoek, Tim, et al.. (2017). Design, Engineering, and Characterization of Prokaryotic Ligand-Binding Transcriptional Activators as Biosensors in Yeast. Methods in molecular biology. 1671. 269–290. 10 indexed citations

Skjoedt, M., Tim Snoek, Kanchana Rueksomtawin Kildegaard, et al.. (2016). Engineering prokaryotic transcriptional activators as metabolite biosensors in yeast. Nature Chemical Biology. 12(11). 951–958. 167 indexed citations

Snoek, Tim, Kevin J. Verstrepen, & Karin Voordeckers. (2016). How do yeast cells become tolerant to high ethanol concentrations?. Current Genetics. 62(3). 475–480. 65 indexed citations

Snoek, Tim, Martina Picca Nicolino, Stefanie Van den Bremt, et al.. (2015). Large-scale robot-assisted genome shuffling yields industrial Saccharomyces cerevisiae yeasts with increased ethanol tolerance. Biotechnology for Biofuels. 8(1). 32–32. 75 indexed citations

Steensels, Jan, Tim Snoek, Esther Meersman, et al.. (2014). Improving industrial yeast strains: exploiting natural and artificial diversity. FEMS Microbiology Reviews. 38(5). 947–995. 332 indexed citations

Steensels, Jan, Esther Meersman, Tim Snoek, Veerle Saels, & Kevin J. Verstrepen. (2014). Large-Scale Selection and Breeding To Generate Industrial Yeasts with Superior Aroma Production. Applied and Environmental Microbiology. 80(22). 6965–6975. 106 indexed citations

Steensels, Jan, Tim Snoek, Esther Meersman, et al.. (2012). Selecting and generating superior yeasts for the brewing industry. 37(2). 63–67. 10 indexed citations

10.

Berg, Debbie L. C. van den, Tim Snoek, Nicholas P. Mullin, et al.. (2010). An Oct4-Centered Protein Interaction Network in Embryonic Stem Cells. Cell stem cell. 6(4). 369–381. 445 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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