What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Cell biology, Autophagy, Programmed cell death, Cancer research and Chaperone-mediated autophagy.
His Cell biology research integrates issues from Carcinogenesis, Regulation of gene expression, Cyclin D1 and Anoikis.
Jayanta Debnath studies Mitophagy which is a part of Autophagy.
His research investigates the connection between Programmed cell death and topics such as Vacuole that intersect with issues in ATG5.
His Chaperone-mediated autophagy research is multidisciplinary, incorporating perspectives in Autophagy database and Autolysosome.
His work deals with themes such as MAP1LC3B, Computational biology and BECN1, which intersect with 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)
- Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes (1951 citations)
What are the main themes of his work throughout his whole career to date?
Jayanta Debnath mostly deals with Autophagy, Cell biology, Cancer research, Programmed cell death and Cancer.
His Autophagy study incorporates themes from Cancer cell, Immunology and Carcinogenesis.
His biological study spans a wide range of topics, including Cell, Secretion and Anoikis.
His studies deal with areas such as T cell, PI3K/AKT/mTOR pathway and Metastasis as well as Cancer research.
His study in Programmed cell death is interdisciplinary in nature, drawing from both Epithelium and Chaperone-mediated autophagy.
His work in the fields of Cancer, such as Tumor microenvironment, overlaps with other areas such as Mechanism.
He most often published in these fields:
- Autophagy (70.31%)
- Cell biology (71.09%)
- Cancer research (24.22%)
What were the highlights of his more recent work (between 2015-2021)?
- Autophagy (70.31%)
- Cell biology (71.09%)
- Cell (10.94%)
In recent papers he was focusing on the following fields of study:
Autophagy, Cell biology, Cell, Cancer research and Cancer are his primary areas of study.
Jayanta Debnath has researched Autophagy in several fields, including Tumor microenvironment and Programmed cell death.
Jayanta Debnath focuses mostly in the field of Programmed cell death, narrowing it down to topics relating to Chaperone-mediated autophagy and, in certain cases, Autolysosome, Computational biology, Neuroscience and Autophagy database.
Jayanta Debnath interconnects BECN1 and Multicellular organism in the investigation of issues within Autolysosome.
Jayanta Debnath has included themes like MAP1LC3B, Sequestosome 1 and Physiology in his Computational biology study.
His Cell biology research incorporates elements of Secretion, Biogenesis and Cellular homeostasis.
Between 2015 and 2021, his most popular works were:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- Molecular definitions of autophagy and related processes (637 citations)
- Beige Adipocyte Maintenance Is Regulated by Autophagy-Induced Mitochondrial Clearance (151 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Autophagy, Cell biology, Cancer research, Motility and Cell migration.
The various areas that Jayanta Debnath examines in his Autophagy study include Tumor microenvironment, Immune system, Secretion, HEK 293 cells and Signal transduction.
Within one scientific family, Jayanta Debnath focuses on topics pertaining to Mitophagy under Cell biology, and may sometimes address concerns connected to Autophagy database, Xenophagy, Microautophagy and ATG5.
Jayanta Debnath usually deals with Ectopic expression and limits it to topics linked to Autophagosome and Physiology, Sequestosome 1, MAP1LC3B and Computational biology.
His Physiology research is multidisciplinary, incorporating elements of Chaperone-mediated autophagy and Programmed cell death.
His research in Chaperone-mediated autophagy intersects with topics in BECN1 and Neuroscience.
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