D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 74 Citations 14,631 213 World Ranking 3597 National Ranking 256

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • DNA

His main research concerns Chondrocyte, Biophysics, Mechanotransduction, Anatomy and Glycosaminoglycan. His Chondrocyte research integrates issues from Tissue engineering, Cell biology and Agarose. His studies deal with areas such as Phenotype and Cell as well as Cell biology.

His research integrates issues of Proteoglycan, Compressive strength and Deformation in his study of Biophysics. His Mechanotransduction research is multidisciplinary, incorporating perspectives in Self-healing hydrogels, Nucleus and Cytoskeleton. The various areas that David A. Lee examines in his Anatomy study include Confocal microscopy, Compression, Cell membrane and Deformation.

His most cited work include:

  • Predicting protein function from sequence and structure (390 citations)
  • Compressive strains at physiological frequencies influence the metabolism of chondrocytes seeded in agarose. (346 citations)
  • CATH: comprehensive structural and functional annotations for genome sequences (324 citations)

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

David A. Lee mainly investigates Cell biology, Chondrocyte, Mechanotransduction, Biophysics and Anatomy. His Cell biology research includes themes of Cell, In vitro and Cellular differentiation. His study in Chondrocyte is interdisciplinary in nature, drawing from both Deformation, Glycosaminoglycan and Agarose.

His studies in Mechanotransduction integrate themes in fields like Cell growth, Stimulation, Cytoskeleton, Extracellular matrix and Biomedical engineering. David A. Lee has included themes like Fibroblast, Self-healing hydrogels and Nanotechnology in his Biophysics study. His work investigates the relationship between Anatomy and topics such as Confocal microscopy that intersect with problems in Confocal.

He most often published in these fields:

  • Cell biology (26.78%)
  • Chondrocyte (26.23%)
  • Mechanotransduction (25.68%)

What were the highlights of his more recent work (between 2014-2020)?

  • Cell biology (26.78%)
  • Computational biology (12.57%)
  • Mechanotransduction (25.68%)

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

David A. Lee focuses on Cell biology, Computational biology, Mechanotransduction, Annotation and GPER. His work in Cell biology addresses issues such as Chromatin, which are connected to fields such as Purinergic receptor. His Computational biology research incorporates elements of Bioinformatics, Protein domain, UniProt, Protein function and Molecular Sequence Annotation.

Bioinformatics is closely attributed to Genome in his research. His biological study spans a wide range of topics, including Surgery, Chondrocyte, Stimulation and Matrix metalloproteinase. Chondrocyte and Poisson's ratio are two areas of study in which David A. Lee engages in interdisciplinary research.

Between 2014 and 2020, his most popular works were:

  • CATH: comprehensive structural and functional annotations for genome sequences (324 citations)
  • CATH: an expanded resource to predict protein function through structure and sequence. (258 citations)
  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy (241 citations)

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

  • Gene
  • Enzyme
  • DNA

David A. Lee mostly deals with Computational biology, Bioinformatics, Molecular Sequence Annotation, Annotation and Cell biology. His Computational biology research is multidisciplinary, relying on both Protein structure and Protein function. His Bioinformatics study integrates concerns from other disciplines, such as Protein domain and Genome.

The concepts of his Annotation study are interwoven with issues in Machine learning and Data set. His Cell biology study frequently intersects with other fields, such as Collagen receptor. His Mesenchymal stem cell study incorporates themes from Lamin, Mechanotransduction, Stem cell and Cellular differentiation.

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

Predicting protein function from sequence and structure

David Lee;Oliver Redfern;Christine Orengo.
Nature Reviews Molecular Cell Biology (2007)

612 Citations

Compressive strains at physiological frequencies influence the metabolism of chondrocytes seeded in agarose.

David A. Lee;Dan L. Bader.
Journal of Orthopaedic Research (1997)

491 Citations

CATH: comprehensive structural and functional annotations for genome sequences

Ian Sillitoe;Tony E. Lewis;Alison L. Cuff;Sayoni Das.
Nucleic Acids Research (2015)

447 Citations

The CATH Domain Structure Database and related resources Gene3D and DHS provide comprehensive domain family information for genome analysis

Frances M. G. Pearl;Annabel E. Todd;Ian Sillitoe;Mark Dibley.
Nucleic Acids Research (2004)

345 Citations

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur.
Genome Biology (2016)

334 Citations

Quantification of Sulfated Glycosaminoglycans in Chondrocyte/Alginate Cultures, by Use of 1,9-Dimethylmethylene Blue

Brian O. Enobakhare;Dan L. Bader;David A. Lee.
Analytical Biochemistry (1996)

329 Citations

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur.
arXiv: Quantitative Methods (2016)

302 Citations

Crosslinking density influences chondrocyte metabolism in dynamically loaded photocrosslinked poly(ethylene glycol) hydrogels.

Stephanie J. Bryant;Tina T. Chowdhury;David A. Lee;Dan L. Bader.
Annals of Biomedical Engineering (2004)

296 Citations

CATH: an expanded resource to predict protein function through structure and sequence.

Natalie L. Dawson;Tony E. Lewis;Sayoni Das;Jonathan G. Lees.
Nucleic Acids Research (2017)

290 Citations

The metabolism of human mesenchymal stem cells during proliferation and differentiation.

Girish Pattappa;Hannah K. Heywood;Joost D. de Bruijn;David A. Lee.
Journal of Cellular Physiology (2011)

262 Citations

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