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 82 Citations 34,343 293 World Ranking 1543 National Ranking 902

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • Internal medicine

The scientist’s investigation covers issues in Metabolomics, Mass spectrometry, Metabolite, Chromatography and Computational biology. A large part of his Metabolomics studies is devoted to Metabolome. His research in the fields of Gas chromatography–mass spectrometry overlaps with other disciplines such as Extramural.

As a part of the same scientific study, Oliver Fiehn usually deals with the Metabolite, concentrating on Botany and frequently concerns with Arabidopsis and Arabidopsis thaliana. In his work, Chromatography liquid, Targeted metabolomics and Ionization mass spectrometry is strongly intertwined with Lipidomics, which is a subfield of Chromatography. He combines subjects such as Biotechnology, Genome, Genomics, Metabolite profiling and Pharmacometabolomics with his study of Computational biology.

His most cited work include:

  • Metabolomics - the link between genotypes and phenotypes (2818 citations)
  • Proposed minimum reporting standards for chemical analysis (2045 citations)
  • Metabolite profiling for plant functional genomics. (1698 citations)

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

Oliver Fiehn mainly investigates Metabolomics, Internal medicine, Biochemistry, Metabolite and Chromatography. Oliver Fiehn usually deals with Metabolomics and limits it to topics linked to Computational biology and Functional genomics. His biological study spans a wide range of topics, including Gastroenterology, Diabetes mellitus, Endocrinology and Oncology.

His Biochemistry study is mostly concerned with Enzyme, Metabolism, Amino acid and Yeast. His study in Mass spectrometry, Tandem mass spectrometry and Liquid chromatography–mass spectrometry is carried out as part of his Chromatography studies. His Mass spectrometry study is associated with Analytical chemistry.

He most often published in these fields:

  • Metabolomics (45.64%)
  • Internal medicine (21.88%)
  • Biochemistry (20.17%)

What were the highlights of his more recent work (between 2018-2021)?

  • Internal medicine (21.88%)
  • Metabolomics (45.64%)
  • Lipidomics (12.82%)

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

His main research concerns Internal medicine, Metabolomics, Lipidomics, Endocrinology and Computational biology. The various areas that Oliver Fiehn examines in his Internal medicine study include Gastroenterology and Polyunsaturated fatty acid. As a member of one scientific family, Oliver Fiehn mostly works in the field of Metabolomics, focusing on Metabolite and, on occasion, Islet.

His Lipidomics research includes themes of Lipid metabolism and Physiology. His Computational biology study incorporates themes from Text mining, Omics and Untargeted metabolomics. His study in Lipidome is interdisciplinary in nature, drawing from both Tandem mass spectrometry and Retention time.

Between 2018 and 2021, his most popular works were:

  • Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblasts (95 citations)
  • A Cardiovascular Disease-Linked Gut Microbial Metabolite Acts via Adrenergic Receptors. (58 citations)
  • Bacteria engineered to produce IL-22 in intestine induce expression of REG3G to reduce ethanol-induced liver disease in mice (58 citations)

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

  • Gene
  • Enzyme
  • Internal medicine

His primary areas of study are Metabolomics, Lipidomics, Computational biology, Internal medicine and Metabolome. His Metabolomics research is multidisciplinary, relying on both Antioxidant, Phenylacetylglutamine, Metabolite, Platelet and Pharmacology. His work deals with themes such as Chromatography, Retention time and Tandem mass spectrometry, which intersect with Lipidomics.

He has researched Computational biology in several fields, including Annotation, Targeted metabolomics, Resolution and Untargeted metabolomics. His Internal medicine research is multidisciplinary, incorporating perspectives in Bonferroni correction, Endocrinology and Oncology. His Metabolome research integrates issues from Catalase, Lipid peroxidation, Rotenone, Centella and Toxicity.

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

Metabolomics - the link between genotypes and phenotypes

Oliver Fiehn.
Plant Molecular Biology (2002)

4219 Citations

Proposed minimum reporting standards for chemical analysis

Lloyd W. Sumner;Alexander Amberg;Dave Barrett;Michael H. Beale.
Metabolomics (2007)

2515 Citations

Metabolite profiling for plant functional genomics.

Oliver Fiehn;Joachim Kopka;Peter Dörmann;Thomas Altmann.
Nature Biotechnology (2000)

2425 Citations

Metabolic Profiling Allows Comprehensive Phenotyping of Genetically or Environmentally Modified Plant Systems

Ute Roessner;Alexander Luedemann;Doreen Brust;Oliver Fiehn.
The Plant Cell (2001)

1104 Citations

Combining Genomics, Metabolome Analysis, and Biochemical Modelling to Understand Metabolic Networks

Oliver Fiehn.
Comparative and Functional Genomics (2001)

1050 Citations

FiehnLib: Mass Spectral and Retention Index Libraries for Metabolomics Based on Quadrupole and Time-of-Flight Gas Chromatography/Mass Spectrometry

Tobias Kind;Gert Wohlgemuth;Do Yup Lee;Yun Lu.
Analytical Chemistry (2009)

983 Citations

Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry

Tobias Kind;Oliver Fiehn.
BMC Bioinformatics (2007)

979 Citations

Potential of metabolomics as a functional genomics tool

Raoul J. Bino;Robert D. Hall;Oliver Fiehn;Joachim Kopka.
Trends in Plant Science (2004)

837 Citations

MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis.

Hiroshi Tsugawa;Tomas Cajka;Tobias Kind;Yan Ma.
Nature Methods (2015)

807 Citations

A prominent role for the CBF cold response pathway in configuring the low-temperature metabolome of Arabidopsis

Daniel Cook;Sarah Fowler;Oliver Fiehn;Michael F. Thomashow.
Proceedings of the National Academy of Sciences of the United States of America (2004)

729 Citations

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