daniel c liebler

What is he best known for?

The fields of study he is best known for:

• Enzyme
• Gene
• Biochemistry

His primary areas of study are Biochemistry, Proteomics, Antioxidant, Proteome and Chromatography. When carried out as part of a general Biochemistry research project, his work on Cysteine, KEAP1, Glutathione and Biotinylation is frequently linked to work in Electrophile, therefore connecting diverse disciplines of study. His research integrates issues of Peptide, Tandem mass spectrometry and Bioinformatics in his study of Proteomics.

Daniel C. Liebler interconnects Photochemistry, Adduct and Liposome in the investigation of issues within Antioxidant. His studies deal with areas such as Peptide sequence, Gene, Proteogenomics and CpG site as well as Proteome. His work on Mass spectrometry, Repeatability and Digestion as part of general Chromatography research is frequently linked to Ammonium bicarbonate, thereby connecting diverse disciplines of science.

His most cited work include:

• Skyline: an open source document editor for creating and analyzing targeted proteomics experiments (2583 citations)
• Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma (859 citations)
• Proteogenomic characterization of human colon and rectal cancer (831 citations)

What are the main themes of his work throughout his whole career to date?

Daniel C. Liebler spends much of his time researching Cosmetics, Cosmetic ingredient, Proteomics, Biochemistry and Organic chemistry. His biological study spans a wide range of topics, including Ingredient, Food science, Alkyl, Traditional medicine and Pharmacology. His research in Proteomics intersects with topics in Proteome, Bioinformatics, Tandem mass spectrometry, Mass spectrometry and Computational biology.

His studies in Proteome integrate themes in fields like Peptide and Shotgun proteomics. His work on Cysteine, Antioxidant, Lipid peroxidation and Peptide sequence as part of general Biochemistry research is frequently linked to Electrophile, bridging the gap between disciplines. The study incorporates disciplines such as Photochemistry and Radical in addition to Antioxidant.

He most often published in these fields:

• Cosmetics (28.18%)
• Cosmetic ingredient (20.45%)
• Proteomics (18.45%)

What were the highlights of his more recent work (between 2015-2020)?

• Cosmetics (28.18%)
• Cosmetic ingredient (20.45%)
• Proteomics (18.45%)

In recent papers he was focusing on the following fields of study:

Daniel C. Liebler mostly deals with Cosmetics, Cosmetic ingredient, Proteomics, Proteome and Organic chemistry. His research investigates the link between Cosmetics and topics such as Food science that cross with problems in Fatty acid. His Cosmetic ingredient research includes themes of Dermatology and Ingredient.

His Proteomics study combines topics from a wide range of disciplines, such as Proteogenomics, Cancer research, Colorectal cancer, Computational biology and Adenocarcinoma. His Computational biology research is multidisciplinary, relying on both Bioinformatics, Gene expression profiling, Quantitative proteomics, Gene and Mass spectrometry. His study on Proteome is covered under Biochemistry.

Between 2015 and 2020, his most popular works were:

• Reassessment of Exosome Composition (571 citations)
• Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer (446 citations)
• Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities. (142 citations)

In his most recent research, the most cited papers focused on:

• Enzyme
• Gene
• Organic chemistry

His primary scientific interests are in Proteome, Proteomics, Computational biology, Biochemistry and Bioinformatics. His Proteome research incorporates elements of Transcriptome, Shotgun proteomics, Flux, Lung cancer and Cell type. His research in Proteomics intersects with topics in Cancer research, Wild type, Mutant, Pentose phosphate pathway and Colorectal cancer.

His Computational biology research includes elements of Gene expression profiling, Quantitative proteomics, Mass spectrometry, Targeted mass spectrometry and Gene regulatory network. Biochemistry connects with themes related to Redox in his study. Daniel C. Liebler has included themes like Proteogenomics, Phenotype, Tumor microenvironment, Genome and DNA mismatch repair in his Bioinformatics study.