What is he best known for?
The fields of study he is best known for:
- Enzyme
- Biochemistry
- Polymer
His primary areas of study are Trichoderma reesei, Hydrophobin, Nanotechnology, Cellulose and Biochemistry.
His Trichoderma reesei research is multidisciplinary, incorporating perspectives in Fungal Structures and Plasma protein binding.
His biological study spans a wide range of topics, including Nanocellulose, Protein engineering and Surface modification.
Markus Linder is studying Microcrystalline cellulose, which is a component of Cellulose.
The Biochemistry study combines topics in areas such as Polymer science and Fusion protein.
As a member of one scientific family, he mostly works in the field of Cellulose binding, focusing on Binding site and, on occasion, Clostridium thermocellum.
His most cited work include:
- Hydrophobins: the protein-amphiphiles of filamentous fungi. (463 citations)
- The roles and function of cellulose-binding domains (313 citations)
- Trichoderma reesei cellobiohydrolases: why so efficient on crystalline cellulose? (310 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Hydrophobin, Nanotechnology, Cellulose, Trichoderma reesei and Biochemistry.
His Hydrophobin study spans across into areas like Fungal protein, Amphiphile, Crystallography, Fusion protein and Biophysics.
His Biophysics study combines topics from a wide range of disciplines, such as Adhesion and Plasma protein binding.
Markus Linder frequently studies issues relating to Surface modification and Nanotechnology.
His research in the fields of Cellulose binding and Nanocellulose overlaps with other disciplines such as Chitin.
His study in Trichoderma reesei is interdisciplinary in nature, drawing from both Protein structure and Microbiology.
He most often published in these fields:
- Hydrophobin (44.03%)
- Nanotechnology (25.10%)
- Cellulose (25.10%)
What were the highlights of his more recent work (between 2015-2021)?
- Cellulose (25.10%)
- Biophysics (15.64%)
- Nanocellulose (9.05%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cellulose, Biophysics, Nanocellulose, Hydrophobin and Nanotechnology.
His work on Cellulose binding as part of general Cellulose study is frequently connected to Molecular dynamics, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Biophysics research integrates issues from Adhesion, Heterologous expression, Fusion protein and Organelle.
The concepts of his Nanocellulose study are interwoven with issues in Protein engineering, Nanomaterials, Polymer and Spider silk.
His Fungal protein research incorporates themes from Trichoderma reesei and Protein purification.
His Trichoderma reesei study necessitates a more in-depth grasp of Cellulase.
Between 2015 and 2021, his most popular works were:
- Advanced Materials through Assembly of Nanocelluloses. (190 citations)
- Ten years of CAZypedia: a living encyclopedia of carbohydrate-active enzymes (79 citations)
- Aligning cellulose nanofibril dispersions for tougher fibers. (34 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Cellulose, Spider silk, Nanoparticle, Surface modification and SILK.
His research in Cellulose is mostly concerned with Nanocellulose.
His study on Spider silk also encompasses disciplines like
- Spidroin, Molecule, Isothermal titration calorimetry, Biopolymer and Polymer most often made with reference to Coacervate,
- Biophysics, Sequence, Adhesion and Aqueous solution most often made with reference to Fiber.
His studies deal with areas such as Trichoderma reesei, Cellulase, Biochemistry, Bacterial cellulose and Fungal protein as well as Biophysics.
Markus Linder has included themes like Xyloglucan, Dispersion and Nanometre in his Nanoparticle study.
Markus Linder has researched Protein engineering in several fields, including Nanotechnology and Fusion protein.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
