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 69 Citations 15,849 167 World Ranking 4703 National Ranking 2327

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • Amino acid

David G. Camp mainly focuses on Proteome, Proteomics, Chromatography, Mass spectrometry and Blood proteins. His Proteome study contributes to a more complete understanding of Biochemistry. His Proteomics study combines topics from a wide range of disciplines, such as Messenger RNA and Bioinformatics.

His Chromatography study frequently links to adjacent areas such as Analytical chemistry. His study of Electrospray ionization is a part of Mass spectrometry. His Blood proteins study combines topics in areas such as Analyte and Blood plasma.

His most cited work include:

  • A genomic storm in critically injured humans (701 citations)
  • Identification of Proteins in Human Cytomegalovirus (HCMV) Particles: the HCMV Proteome (494 citations)
  • Comparative Analysis of Proteome and Transcriptome Variation in Mouse (426 citations)

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

David G. Camp spends much of his time researching Proteomics, Proteome, Chromatography, Mass spectrometry and Biochemistry. His research in Proteomics focuses on subjects like Transcriptome, which are connected to Gene expression profiling. David G. Camp interconnects Molecular biology, Gene, Biomarker discovery, Cell biology and Computational biology in the investigation of issues within Proteome.

His Chromatography study frequently draws connections to other fields, such as Peptide. His work carried out in the field of Peptide brings together such families of science as Amino acid, Reversed-phase chromatography, Quantitative analysis and Elution. His Mass spectrometry research is classified as research in Analytical chemistry.

He most often published in these fields:

  • Proteomics (46.20%)
  • Proteome (45.65%)
  • Chromatography (36.41%)

What were the highlights of his more recent work (between 2013-2017)?

  • Proteomics (46.20%)
  • Chromatography (36.41%)
  • Proteome (45.65%)

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

David G. Camp focuses on Proteomics, Chromatography, Proteome, Biochemistry and Prostate cancer. A large part of his Proteomics studies is devoted to Quantitative proteomics. His Sample preparation, Mass spectrometry, Selected reaction monitoring, Reproducibility and Tandem mass spectrometry investigations are all subjects of Chromatography research.

His research investigates the connection between Proteome and topics such as Biomarker discovery that intersect with issues in Transplant rejection, Systems biology and Liquid chromatography–mass spectrometry. His Prostate cancer research is multidisciplinary, relying on both Molecular biology, SPOP and Mutant. His study looks at the intersection of Bioinformatics and topics like Innate immune system with Cell biology.

Between 2013 and 2017, his most popular works were:

  • Resin-assisted enrichment of thiols as a general strategy for proteomic profiling of cysteine-based reversible modifications (94 citations)
  • Proteomic identification and quantification of S-glutathionylation in mouse macrophages using resin-assisted enrichment and isobaric labeling (69 citations)
  • The proteome and phosphoproteome of Neurospora crassa in response to cellulose, sucrose and carbon starvation (60 citations)

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

  • Gene
  • Enzyme
  • Biochemistry

His main research concerns Biochemistry, Proteome, Urinary system, Isobaric labeling and Proteomics. His studies examine the connections between Proteome and genetics, as well as such issues in Enzyme, with regards to Downregulation and upregulation. His Urinary system research integrates issues from Mass spectrometry, Urine and BK virus, Kidney transplantation.

His work deals with themes such as Cancer, Detection limit, Chromatography, Reproducibility and AGR2, which intersect with Urine. His studies in Isobaric labeling integrate themes in fields like Cysteine metabolism, Cysteine, Biotinylation and Sepharose. His Proteomics study incorporates themes from S-Glutathionylation, Glutathione, Cell culture and Thiol.

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

A genomic storm in critically injured humans

Wenzhong Xiao;Wenzhong Xiao;Michael N. Mindrinos;Junhee Seok;Joseph Cuschieri.
(2011)

1063 Citations

Identification of Proteins in Human Cytomegalovirus (HCMV) Particles: the HCMV Proteome

Susan M. Varnum;Daniel N. Streblow;Matthew E. Monroe;Patricia Smith.
Journal of Virology (2004)

743 Citations

Comparative Analysis of Proteome and Transcriptome Variation in Mouse

Anatole Ghazalpour;Brian Bennett;Vladislav A. Petyuk;Luz Orozco.
PLOS Genetics (2011)

640 Citations

Reversed‐phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells

Yuexi Wang;Feng Yang;Marina A. Gritsenko;Yingchun Wang.
Proteomics (2011)

485 Citations

Human Plasma N-Glycoproteome Analysis by Immunoaffinity Subtraction, Hydrazide Chemistry, and Mass Spectrometry

Tao Liu;Wei Jun Qian;Marina A. Gritsenko;David G. Camp.
Journal of Proteome Research (2005)

472 Citations

DAnTE: a statistical tool for quantitative analysis of -omics data

Ashoka D. Polpitiya;Wei-Jun Qian;Navdeep Jaitly;Vladislav A. Petyuk.
Bioinformatics (2008)

432 Citations

Temporal proteome and lipidome profiles reveal hepatitis C virus-associated reprogramming of hepatocellular metabolism and bioenergetics.

Deborah L. Diamond;Andrew J. Syder;Jon M. Jacobs;Christina M. Sorensen.
PLOS Pathogens (2010)

416 Citations

Advances and Challenges in Liquid Chromatography-Mass Spectrometry-based Proteomics Profiling for Clinical Applications

Wei Jun Qian;Jon M. Jacobs;Tao Liu;David G. Camp.
Molecular & Cellular Proteomics (2006)

395 Citations

Probability-based evaluation of peptide and protein identifications from tandem mass spectrometry and SEQUEST analysis: the human proteome.

Wei Jun Qian;Tao Liu;Matthew E. Monroe;Eric F. Strittmatter.
Journal of Proteome Research (2005)

392 Citations

Utilizing Human Blood Plasma for Proteomic Biomarker Discovery

Jon M. Jacobs;Joshua N. Adkins;Wei Jun Qian;Tao Liu.
Journal of Proteome Research (2005)

367 Citations

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