What is he best known for?
The fields of study he is best known for:
Gábor Juhász spends much of his time researching Autophagy, Cell biology, Programmed cell death, Neuroscience and Endosome.
His Autophagy study incorporates themes from Cell growth, Function, Signal transduction, Gene and Kinase.
His Cell biology study combines topics from a wide range of disciplines, such as Endocytic cycle, Biochemistry, Autophagosome and BAG3.
His research investigates the link between Programmed cell death and topics such as Effector that cross with problems in PI3K/AKT/mTOR pathway and Ecdysone.
His Neuroscience research incorporates elements of Chaperone-mediated autophagy, Phagocytosis, Autophagy database and Compartment.
The Chaperone-mediated autophagy study combines topics in areas such as MAP1LC3B, BECN1 and Autolysosome.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- Guidelines for the use and interpretation of assays for monitoring autophagy (3242 citations)
- Direct induction of autophagy by Atg1 inhibits cell growth and induces apoptotic cell death (710 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cell biology, Autophagy, Neuroscience, Biochemistry and Endosome.
His Cell biology research includes themes of Endocytic cycle, Endocytosis, Lysosome and Drosophila Protein.
His work carried out in the field of Autophagy brings together such families of science as Mutant and Programmed cell death.
His work in Electroencephalography, Electrophysiology, Premovement neuronal activity, Wakefulness and Prefrontal cortex are all subfields of Neuroscience research.
His studies in Endosome integrate themes in fields like Phagosome, Small GTPase and UVRAG.
His Nucleoside study also includes
- Inosine which intersects with area such as Guanosine,
- Pharmacology and related Epilepsy.
He most often published in these fields:
- Cell biology (68.11%)
- Autophagy (58.27%)
- Neuroscience (21.26%)
What were the highlights of his more recent work (between 2018-2021)?
- Cell biology (68.11%)
- Autophagy (58.27%)
- Endosome (24.02%)
In recent papers he was focusing on the following fields of study:
Cell biology, Autophagy, Endosome, Lysosome and Neurodegeneration are his primary areas of study.
His research integrates issues of Immune system, Mitophagy and Longevity in his study of Cell biology.
His work in Autophagosome and Microautophagy is related to Autophagy.
The study incorporates disciplines such as Endocytic cycle, Endocytosis, Salivary gland and Protein subunit in addition to Endosome.
His Lysosome research is multidisciplinary, relying on both Regulator, Disease, Small GTPase and Motility.
His studies deal with areas such as Synapse, Neuroscience and Synaptosome as well as Neurodegeneration.
Between 2018 and 2021, his most popular works were:
- Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) (38 citations)
- Autophagosome-Lysosome Fusion. (35 citations)
- Autophagosome-Lysosome Fusion. (35 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Cell biology, Autophagy, Neurodegeneration, Lysosome and Longevity.
His Cell biology research is multidisciplinary, incorporating perspectives in Heat shock protein, Endocytic cycle, Endocytosis and Biogenesis.
His study of Microautophagy is a part of Autophagy.
Gábor Juhász has included themes like Cancer, Synapse, Inflammatory bowel disease and Pathogenesis in his Neurodegeneration study.
His research in Lysosome intersects with topics in Vesicle tethering, Catabolic Process, Autophagosome formation and Autophagosome lysosome fusion, Autophagosome.
His Longevity study integrates concerns from other disciplines, such as Function, Stem cell, Intracellular, Spermidine and Metabolism.
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.
