What is he best known for?
The fields of study he is best known for:
David R. Walt spends much of his time researching Optical fiber, Analyte, Nanotechnology, Fiber optic sensor and Optoelectronics.
His studies in Optical fiber integrate themes in fields like Fiber, Fluorescence, DNA, DNA microarray and Analytical chemistry.
His Fluorescence research incorporates elements of Photochemistry, Multiplexing and Molecule.
His Analyte research is multidisciplinary, relying on both Optic sensor, A fibers, Biological system, Sensor array and Signal.
His Nanotechnology study combines topics in areas such as Optical fiber bundle and Microsphere.
His work deals with themes such as Light energy and Sample, which intersect with Fiber optic sensor.
His most cited work include:
- Single-Molecule enzyme-linked immunosorbent assay detects serum proteins at subfemtomolar concentrations (1005 citations)
- Cross-reactive chemical sensor arrays. (976 citations)
- Phenotypic consequences of promoter-mediated transcriptional noise. (521 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Optical fiber, Nanotechnology, Analyte, Fluorescence and Optoelectronics.
His Optical fiber research is multidisciplinary, incorporating elements of Fiber, DNA microarray and Signal.
His Nanotechnology study frequently links to other fields, such as Microsphere.
David R. Walt interconnects Molecule, Sensor array and Sample in the investigation of issues within Analyte.
His Fluorescence research focuses on subjects like Polymer, which are linked to Polymer chemistry.
His Chromatography research is multidisciplinary, incorporating perspectives in Immunoassay and Enzyme.
He most often published in these fields:
- Optical fiber (23.65%)
- Nanotechnology (20.75%)
- Analyte (18.67%)
What were the highlights of his more recent work (between 2017-2021)?
- Antibody (14.94%)
- Molecule (12.66%)
- Serology (10.37%)
In recent papers he was focusing on the following fields of study:
David R. Walt mostly deals with Antibody, Molecule, Serology, Virology and Protein detection.
His biological study spans a wide range of topics, including Cohort and Antigen.
The Molecule study combines topics in areas such as Detection limit, Biophysics and Biochemistry, Small molecule, Enzyme.
His research investigates the link between Detection limit and topics such as Nanotechnology that cross with problems in Digital signal.
In his study, Outbreak is strongly linked to Seroconversion, which falls under the umbrella field of Serology.
His Cross-reactivity research includes elements of Multiplex and Analyte.
Between 2017 and 2021, his most popular works were:
- How many human proteoforms are there (219 citations)
- Highly Sensitive and Multiplexed Protein Measurements (50 citations)
- Finding useful biomarkers for Parkinson’s disease (43 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Antibody, Antigen, Serology, Seroconversion and Disease.
His study looks at the intersection of Antibody and topics like Cohort with Tuberculosis and Confidence interval.
His Serology study combines topics from a wide range of disciplines, such as Outbreak and Virology.
His Virology research integrates issues from Immunoglobulin G, Immune system and Reverse transcriptase.
His work on Disease progression and Parkinson's disease as part of general Disease study is frequently linked to Extramural and Reference standards, bridging the gap between disciplines.
His Immunoassay research incorporates themes from Low protein, Enzyme, Gold standard, Chromatography and Droplet microfluidics.
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