What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Biochemistry, Heparan sulfate, Heparin, Glycosaminoglycan and Extracellular matrix.
His research links Computational biology with Biochemistry.
His Heparan sulfate study integrates concerns from other disciplines, such as Endothelial stem cell, Molecular biology, Oligosaccharide and Cell biology.
The concepts of his Heparin study are interwoven with issues in Clinical events, Ligand, Anticoagulant, Anaphylatoxin and Chondroitin sulfate.
He works mostly in the field of Glycosaminoglycan, limiting it down to topics relating to Cell signaling and, in certain cases, Biosynthesis and Heparan Sulfate Biosynthesis.
His Extracellular matrix research incorporates themes from Mouse mammary tumor virus, Signal transduction and Primary tumor.
His most cited work include:
- Temporal targeting of tumour cells and neovasculature with a nanoscale delivery system (763 citations)
- Transmission and Pathogenesis of Swine-Origin 2009 A(H1N1) Influenza Viruses in Ferrets and Mice (571 citations)
- Roles of heparan-sulphate glycosaminoglycans in cancer (511 citations)
What are the main themes of his work throughout his whole career to date?
Ram Sasisekharan mostly deals with Biochemistry, Virology, Glycosaminoglycan, Heparan sulfate and Glycan.
His works in Heparin, Enzyme, Binding site, Chondroitin sulfate and Active site are all subjects of inquiry into Biochemistry.
Ram Sasisekharan has included themes like Anticoagulant and Chromatography in his Heparin study.
His research investigates the link between Virology and topics such as Antibody that cross with problems in Dengue virus and Dengue fever.
His research investigates the connection between Heparan sulfate and topics such as Cell biology that intersect with problems in Fibroblast growth factor receptor.
His work deals with themes such as Mutation and Receptor, which intersect with Hemagglutinin.
He most often published in these fields:
- Biochemistry (37.35%)
- Virology (33.95%)
- Glycosaminoglycan (18.52%)
What were the highlights of his more recent work (between 2013-2021)?
- Virology (33.95%)
- Antibody (11.73%)
- Virus (14.20%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Virology, Antibody, Virus, Monoclonal antibody and Epitope.
His study in the fields of Dengue virus, Influenza A virus, Hemagglutinin and Influenza A virus subtype H5N1 under the domain of Virology overlaps with other disciplines such as Pandemic.
Ram Sasisekharan interconnects Viral replication, Pathogenesis and Recombinant DNA in the investigation of issues within Hemagglutinin.
His biological study spans a wide range of topics, including Monoclonal and Glycan.
He has researched Glycan in several fields, including Receptor, Viral entry into host cell and Molecular dynamics.
His Molecular dynamics research includes elements of Cell surface receptor, Biochemistry and Hemagglutinin.
Between 2013 and 2021, his most popular works were:
- The soft palate is an important site of adaptation for transmissible influenza viruses (85 citations)
- Structure-Guided Design of an Anti-dengue Antibody Directed to a Non-immunodominant Epitope (71 citations)
- Structure-Guided Design of an Anti-dengue Antibody Directed to a Non-immunodominant Epitope (71 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Virology, Virus, Antibody, Hemagglutinin and Influenza A virus.
Ram Sasisekharan is interested in Viral protein, which is a field of Virology.
His work in Virus covers topics such as Glycan which are related to areas like Viral replication.
His Hemagglutinin study combines topics in areas such as Influenza A virus subtype H5N1, Receptor, Fragment crystallizable region and Immune complex.
His study in Influenza A virus subtype H5N1 is interdisciplinary in nature, drawing from both Plasma protein binding and Microbiology.
In most of his Influenza A virus studies, his work intersects topics such as Epitope mapping.
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