What is he best known for?
The fields of study he is best known for:
His main research concerns Proteome, Proteomics, Chromatography, Mass spectrometry and Computational biology.
His Proteome research incorporates themes from Blood proteins, Pathogen and Genome.
Joshua N. Adkins combines subjects such as Normalization, Data mining, Imputation, Genomics and Statistical model with his study of Proteomics.
His Chromatography study incorporates themes from Immunoassay, Antibody microarray and Molecular biology.
He has included themes like Peptide bond and Structural biology in his Mass spectrometry study.
The Systems biology research he does as part of his general Computational biology study is frequently linked to other disciplines of science, such as Cooperative behavior, therefore creating a link between diverse domains of science.
His most cited work include:
- The Human Plasma Proteome A Nonredundant List Developed by Combination of Four Separate Sources (877 citations)
- Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database. (707 citations)
- Toward a Human Blood Serum Proteome Analysis By Multidimensional Separation Coupled With Mass Spectrometry (667 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Proteomics, Proteome, Computational biology, Mass spectrometry and Chromatography.
The various areas that Joshua N. Adkins examines in his Proteomics study include Sample preparation, Bioinformatics and Virulence.
His Proteome research includes themes of Pathogen, Microbiology and Salmonella enterica, Salmonella.
His study in Genome extends to Computational biology with its themes.
The concepts of his Mass spectrometry study are interwoven with issues in Biological system and Resolution.
His research in Chromatography intersects with topics in Blood proteins, Tandem mass tag, Accuracy and precision and Peptide.
He most often published in these fields:
- Proteomics (34.52%)
- Proteome (23.81%)
- Computational biology (19.05%)
What were the highlights of his more recent work (between 2016-2021)?
- Proteomics (34.52%)
- Microbiology (16.07%)
- Computational biology (19.05%)
In recent papers he was focusing on the following fields of study:
Joshua N. Adkins mainly focuses on Proteomics, Microbiology, Computational biology, Biochemistry and Virulence.
The study incorporates disciplines such as Proteome, Transcriptome and Protein expression in addition to Proteomics.
He interconnects Proteomic Profile, Blood plasma and Opioid use in the investigation of issues within Proteome.
His Microbiology research integrates issues from Inflammation and Staphylococcus aureus, Bacteria.
Joshua N. Adkins has researched Computational biology in several fields, including Laser capture microdissection and Retrospective analysis.
His work deals with themes such as Amino acid, Ubiquitin, Ubiquitin ligase, Campylobacter jejuni and Sequence analysis, which intersect with Virulence.
Between 2016 and 2021, his most popular works were:
- Comprehensive computational design of ordered peptide macrocycles. (64 citations)
- High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform (55 citations)
- Stochastic Variation in Expression of the Tricarboxylic Acid Cycle Produces Persister Cells (35 citations)
In his most recent research, the most cited papers focused on:
Joshua N. Adkins mainly investigates Proteomics, Staphylococcus aureus, Microbiology, Antibiotics and Transcription.
His Proteomics research is multidisciplinary, incorporating perspectives in Omics and Mass spectrometry.
The Staphylococcus aureus study combines topics in areas such as Pseudomonas aeruginosa, Fumarase, Multidrug tolerance and Citric acid cycle.
His Microbiology study integrates concerns from other disciplines, such as Staphylococcal infections and Methicillin-resistant Staphylococcus aureus.
His research ties Virulence and Antibiotics together.
His Transcription research incorporates elements of Microbial ecology and Ecosystem.
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