What is he best known for?
The fields of study he is best known for:
Jacky L. Snoep mainly focuses on Biochemistry, Yeast, Glycolysis, Reuse and Saccharomyces cerevisiae.
Biochemistry connects with themes related to Lactococcus lactis in his study.
Microfluidic chamber and Sustained oscillations is closely connected to Cell biology in his research, which is encompassed under the umbrella topic of Yeast.
His Glycolysis study integrates concerns from other disciplines, such as Flux and Adenosine triphosphate.
His Reuse research is multidisciplinary, incorporating elements of Programming language, Set, User interface and Encoding.
His biological study spans a wide range of topics, including Software, Modeling language, Executable and Computational science.
His most cited work include:
- The Systems Biology Graphical Notation (670 citations)
- BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems (664 citations)
- Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry. (600 citations)
What are the main themes of his work throughout his whole career to date?
Jacky L. Snoep mainly investigates Biochemistry, Systems biology, Glycolysis, Yeast and Cell biology.
Jacky L. Snoep performs multidisciplinary study in Biochemistry and Plasmodium falciparum in his work.
His biological study deals with issues like Data science, which deal with fields such as Data integration, Component and Data management.
His work on Phosphofructokinase as part of general Glycolysis research is frequently linked to Limit cycle oscillation, thereby connecting diverse disciplines of science.
His research integrates issues of Biological system and Single-cell analysis in his study of Yeast.
His work on Signal transduction is typically connected to DNA supercoil as part of general Cell biology study, connecting several disciplines of science.
He most often published in these fields:
- Biochemistry (63.12%)
- Systems biology (36.50%)
- Glycolysis (32.70%)
What were the highlights of his more recent work (between 2014-2021)?
- Biochemistry (63.12%)
- Systems biology (36.50%)
- Data science (11.03%)
In recent papers he was focusing on the following fields of study:
Jacky L. Snoep mostly deals with Biochemistry, Systems biology, Data science, Plasmodium falciparum and Yeast.
His study in Systems biology is interdisciplinary in nature, drawing from both Management science and Systems engineering.
His Data science research incorporates elements of Data integration, Reuse, Component and Data management.
His Reuse study incorporates themes from Table and Bioinformatics.
In his study, Drug target is strongly linked to Biological system, which falls under the umbrella field of Yeast.
Within one scientific family, Jacky L. Snoep focuses on topics pertaining to Adenosine triphosphate under Flux, and may sometimes address concerns connected to Phosphofructokinase and Glycolysis.
Between 2014 and 2021, his most popular works were:
- Identifiers for the 21st century : How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data (56 citations)
- Identifiers for the 21st century : How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data (56 citations)
- SEEK: a systems biology data and model management platform (51 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Biochemistry, Systems biology, Data science, Plasmodium falciparum and Context.
The Biochemistry study combines topics in areas such as Organism and Pathogen.
The various areas that Jacky L. Snoep examines in his Systems biology study include Domain and Data management.
The concepts of his Data science study are interwoven with issues in Data integration, Reuse and Component.
His research in Reuse intersects with topics in Identifier, The Internet and Relevance.
His Component research includes elements of Table, Interoperability and Bioinformatics.
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