What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Internal medicine
Manoj Bhasin mostly deals with Support vector machine, Epitope, Bioinformatics, Regulation of gene expression and Computational biology.
His Support vector machine study combines topics in areas such as Amino acid, Dipeptide, Biological system and Subcellular localization.
His Bioinformatics research is multidisciplinary, incorporating perspectives in Inflammation, Cancer stem cell, Carcinogenesis, Progenitor cell and Signal transduction.
His work deals with themes such as Kidney and Mitochondrial biogenesis, which intersect with Inflammation.
His Signal transduction study incorporates themes from Transcriptome, Downregulation and upregulation, Upstream and downstream, Insulin and Mitochondrion.
His Regulation of gene expression research is multidisciplinary, incorporating elements of Gene expression profiling, T-cell leukemia and CpG site.
His most cited work include:
- PGC-1α promotes recovery after acute kidney injury during systemic inflammation in mice (264 citations)
- ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST (263 citations)
- Prediction of CTL epitopes using QM, SVM and ANN techniques. (254 citations)
What are the main themes of his work throughout his whole career to date?
Cancer research, Immunology, Internal medicine, Transcriptome and Cell biology are his primary areas of study.
His research in Cancer research intersects with topics in Carcinogenesis, Cancer, Prostate cancer, Downregulation and upregulation and Leukemia.
His research in Downregulation and upregulation tackles topics such as Inflammation which are related to areas like Insulin.
His research on Immunology often connects related topics like Gene expression profiling.
His Internal medicine research integrates issues from Endocrinology, Gene, Oncology and Pathology.
His Transcriptome study integrates concerns from other disciplines, such as Meta-analysis, Microarray, Signal transduction, Regulation of gene expression and Cell type.
He most often published in these fields:
- Cancer research (27.27%)
- Immunology (16.58%)
- Internal medicine (14.97%)
What were the highlights of his more recent work (between 2018-2021)?
- Cancer research (27.27%)
- Transcriptome (18.72%)
- Cell (5.35%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cancer research, Transcriptome, Cell, Cell biology and Proteomics.
His Cancer research research incorporates themes from Cancer, Blockade, Immune system, Immune microenvironment and Leukemia.
His Transcriptome research includes themes of Tyrosine kinase, Gene signature, Renal cell carcinoma and Fibroblast growth factor.
His Diabetic foot study also includes fields such as
- Fibroblast together with Inflammation,
- Mast cell together with Downregulation and upregulation.
His studies in Inflammation integrate themes in fields like Bioinformatics, Sepsis, RNA, Diabetes mellitus and Thromboxane A2.
His Wound healing study introduces a deeper knowledge of Immunology.
Between 2018 and 2021, his most popular works were:
- Preoperative stimulation of resolution and inflammation blockade eradicates micrometastases (27 citations)
- TFEB-driven lysosomal biogenesis is pivotal for PGC1α-dependent renal stress resistance (16 citations)
- Chemotherapy-generated cell debris stimulates colon carcinoma tumor growth via osteopontin. (16 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Manoj Bhasin spends much of his time researching Cancer research, Inflammation, Cell, Cell biology and Myeloid.
His Cancer research study combines topics in areas such as Cancer, Blockade, Autacoid, Proinflammatory cytokine and Thromboxane A2.
His research in Cancer focuses on subjects like Renal cell carcinoma, which are connected to Downregulation and upregulation.
His work blends Inflammation and Ketorolac studies together.
His work carried out in the field of Cell brings together such families of science as Endothelial stem cell, Cytotoxic T cell, Angiogenesis, Immunology and Fibroblast.
His research in Cell biology is mostly concerned with Mitochondrion.
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.
