D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 98 Citations 41,120 391 World Ranking 738 National Ranking 49

Research.com Recognitions

Awards & Achievements

2012 - Fellow of the American Association for the Advancement of Science (AAAS)

2004 - Interdisciplinary Prize, Royal Society of Chemistry (UK)

Overview

What is he best known for?

The fields of study he is best known for:

  • Enzyme
  • Gene
  • Bacteria

Douglas B. Kell spends much of his time researching Metabolomics, Systems biology, Microbiology, Bioinformatics and Computational biology. His studies deal with areas such as Metabolite, Phenotype, Metabolic network and Artificial intelligence as well as Metabolomics. He has researched Metabolite in several fields, including Chromatography, Mass spectrometry and Disease.

His research in Systems biology intersects with topics in Theoretical computer science, BioModels Database, SBML, Transcriptome and Biological system. Douglas B. Kell has included themes like Micrococcus luteus, Escherichia coli, Autocrine signalling and Bacteria in his Microbiology study. His Bioinformatics study which covers Data science that intersects with Text mining.

His most cited work include:

  • Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry (1234 citations)
  • Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression (993 citations)
  • Metabolomics by numbers: acquiring and understanding global metabolite data. (991 citations)

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

The scientist’s investigation covers issues in Biochemistry, Computational biology, Artificial intelligence, Systems biology and Analytical chemistry. His Biochemistry study incorporates themes from Biophysics and Bacteria. Computational biology and Metabolomics are frequently intertwined in his study.

His study in Metabolomics focuses on Metabolome in particular. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition. His Systems biology study is concerned with the field of Bioinformatics as a whole.

He most often published in these fields:

  • Biochemistry (17.19%)
  • Computational biology (12.07%)
  • Artificial intelligence (8.10%)

What were the highlights of his more recent work (between 2017-2021)?

  • Fibrin (10.51%)
  • Immunology (10.23%)
  • Biochemistry (17.19%)

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

His main research concerns Fibrin, Immunology, Biochemistry, Amyloid and Transporter. His Fibrin study combines topics from a wide range of disciplines, such as Platelet-poor plasma, Inflammation, Fibrinogen, Coagulation and Platelet. His work in Immunology tackles topics such as Microbiome which are related to areas like Molecular mechanism, Alzheimer type dementia, LPS-binding protein and Programmed cell death.

His research integrates issues of Blood serum and Function in his study of Biochemistry. His study in Divergent evolution is interdisciplinary in nature, drawing from both Housekeeping gene and Computational biology. His studies in Internal medicine integrate themes in fields like Diabetes mellitus, Metabolomics and Text mining.

Between 2017 and 2021, his most popular works were:

  • An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals (84 citations)
  • Correlative Light-Electron Microscopy detects lipopolysaccharide and its association with fibrin fibres in Parkinson’s Disease, Alzheimer’s Disease and Type 2 Diabetes Mellitus (46 citations)
  • Correlative Light-Electron Microscopy detects lipopolysaccharide and its association with fibrin fibres in Parkinson’s Disease, Alzheimer’s Disease and Type 2 Diabetes Mellitus (46 citations)

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

  • Enzyme
  • Gene
  • Bacteria

Immunology, Amyloid, Fibrinogen, Fibrin and Computational biology are his primary areas of study. His work carried out in the field of Immunology brings together such families of science as Microbiome and Bacteroidetes. In his work, Parkinson's disease and Thioflavin is strongly intertwined with Lipopolysaccharide, which is a subfield of Amyloid.

His Fibrinogen research is multidisciplinary, incorporating elements of Platelet and Coagulation. His Computational biology research is multidisciplinary, relying on both Housekeeping gene, Gene and Selection. Douglas B. Kell interconnects Biochemistry and Bacteria in the investigation of issues within Staining.

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.

Best Publications

Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry

Warwick B Dunn;David Broadhurst;David Broadhurst;Paul Begley;Eva Zelena.
Nature Protocols (2011)

1568 Citations

Systematic functional analysis of the yeast genome

Stephen G. Oliver;Michael K. Winson;Douglas B. Kell;Frank Baganz.
Trends in Biotechnology (1998)

1422 Citations

Metabolomics by numbers: acquiring and understanding global metabolite data.

Royston Goodacre;Seetharaman Vaidyanathan;Warwick B. Dunn;George G. Harrigan.
Trends in Biotechnology (2004)

1363 Citations

Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression

D. E. Nelson;A. E. C. Ihekwaba;M. Elliott;J. R. Johnson.
Science (2004)

1328 Citations

A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations

Léonie M. Raamsdonk;Bas Teusink;David Broadhurst;Nianshu Zhang.
Nature Biotechnology (2001)

1230 Citations

Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

H M Davey;D B Kell.
Microbiological Research (1996)

1033 Citations

Computational cluster validation in post-genomic data analysis

Julia Handl;Joshua Knowles;Douglas B. Kell.
Bioinformatics (2005)

1021 Citations

A community-driven global reconstruction of human metabolism

Ines Thiele;Neil Swainston;Ronan M T Fleming;Andreas Hoppe.
Nature Biotechnology (2013)

996 Citations

The passive electrical properties of biological systems: their significance in physiology, biophysics and biotechnology

R Pethig;D B Kell.
Physics in Medicine and Biology (1987)

898 Citations

The Systems Biology Graphical Notation

Nicolas Le Novere;Michael Hucka;Huaiyu Mi;Stuart Moodie.
Nature Biotechnology (2009)

898 Citations

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