What is he best known for?
The fields of study he is best known for:
Bo Li spends much of his time researching Computational biology, Inorganic chemistry, Immune system, Cancer research and RNA-Seq.
His Computational biology study combines topics in areas such as Genetics, Gene expression profiling, Transcriptome and Genome, Reference genome.
In Transcriptome, Bo Li works on issues like Sequence analysis, which are connected to Sequence assembly and De novo transcriptome assembly.
In the subject of general Immune system, his work in Immunotherapy and Cancer immunotherapy is often linked to Yolk sac, thereby combining diverse domains of study.
The study incorporates disciplines such as Cancer, Metastasis, T cell, Immunology and microRNA in addition to Cancer research.
Bo Li has researched RNA-Seq in several fields, including Data mining, Fusion gene, Fusion transcript, Whole genome sequencing and DNA microarray.
His most cited work include:
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (8572 citations)
- De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis (4247 citations)
- Strongly green-photoluminescent graphene quantum dots for bioimaging applications (1123 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Catalysis, Analytical chemistry, Computational biology, Cancer research and Chemical engineering.
The various areas that Bo Li examines in his Catalysis study include Inorganic chemistry, Photochemistry, Adsorption and Density functional theory.
His Analytical chemistry research is multidisciplinary, incorporating elements of Laser-induced fluorescence, Laser and Combustion.
The Computational biology study combines topics in areas such as RNA-Seq, Transcriptome and Genome, Gene.
His Cancer research research integrates issues from Cancer, Immune system, T cell and Immunotherapy.
Bo Li combines subjects such as Electrochemistry and Energy conversion efficiency with his study of Chemical engineering.
He most often published in these fields:
- Catalysis (10.29%)
- Analytical chemistry (9.52%)
- Computational biology (11.62%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (11.62%)
- Chemical engineering (8.00%)
- Cancer research (12.19%)
In recent papers he was focusing on the following fields of study:
Bo Li focuses on Computational biology, Chemical engineering, Cancer research, Catalysis and Internal medicine.
His Computational biology research is multidisciplinary, incorporating perspectives in RNA-Seq, Nucleus, Major histocompatibility complex, Antigen and Cancer immunotherapy.
As part of the same scientific family, Bo Li usually focuses on RNA-Seq, concentrating on RNA and intersecting with microRNA.
His Cancer research research includes elements of Cancer cell, Immune system, Immunotherapy and Carcinogenesis.
The study incorporates disciplines such as Transcriptome, Interactome and DNA mismatch repair in addition to Immunotherapy.
Bo Li combines topics linked to Genetics with his work on Internal medicine.
Between 2019 and 2021, his most popular works were:
- TIMER2.0 for analysis of tumor-infiltrating immune cells (115 citations)
- An In-Depth Study of Zn Metal Surface Chemistry for Advanced Aqueous Zn-Ion Batteries. (60 citations)
- A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors (51 citations)
In his most recent research, the most cited papers focused on:
Bo Li mainly investigates Computational biology, RNA-Seq, Cancer research, Chemical engineering and Nucleus.
His studies deal with areas such as Tumor microenvironment, Proteome and Major histocompatibility complex, Antigen as well as Computational biology.
The various areas that Bo Li examines in his RNA-Seq study include Test data generation, Scalability, Data mining, Sequencing data and RNA.
His Cancer research research is multidisciplinary, incorporating elements of Cancer, Immune system, Immunotherapy, DNA mismatch repair and T-cell receptor.
His Transcriptome research extends to the thematically linked field of Immune system.
His work carried out in the field of Chemical engineering brings together such families of science as Energy conversion efficiency, Anode, Catalysis, Reaction mechanism and Electrochemistry.
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