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Chemistry

D-Index
46
Citations
17656
World Ranking
15836
National Ranking
3961

Overview

Tobias Kind is affiliated with the University of California, Davis in the United States. Their research primarily focuses on the fields of chemistry and biochemistry, genetics, and molecular biology, with a significant volume of work related to metabolomics and mass spectrometry studies.

Their published work covers a range of topics in analytical chemistry, chromatography, mass spectrometry techniques, and computational drug discovery methods. The scientist's research spans subfields including spectroscopy, molecular biology, computational theory and mathematics, radiation, and physical and theoretical chemistry.

Recent papers authored or co-authored by Tobias Kind include:

  • "Retip: Retention Time Prediction for Compound Annotation in Untargeted Metabolomics," 2020, Analytical Chemistry
  • "Spectral entropy outperforms MS/MS dot product similarity for small-molecule compound identification," 2021, Nature Methods
  • "Quantum Chemistry Calculations for Metabolomics," 2021, Chemical Reviews
  • "Age and sex are associated with the plasma lipidome: findings from the GOLDN study," 2021, Lipids in Health and Disease
  • "Predicting in silico electron ionization mass spectra using quantum chemistry," 2020, Journal of Cheminformatics

The scientist has collaborated frequently with several co-authors, including Oliver Fiehn, Dean J. Tantillo, Shunyang Wang, Marguerite R. Irvin, and Dinesh Kumar Barupal.

Notable venues for Tobias Kind's publications include Zenodo (CERN European Organization for Nuclear Research), Analytical Chemistry, bioRxiv (Cold Spring Harbor Laboratory), Lipids in Health and Disease, and the Journal of Cheminformatics.

The research topics covered extensively in their publications are:

  • Metabolomics and Mass Spectrometry Studies
  • Analytical Chemistry and Chromatography
  • Mass Spectrometry Techniques and Applications
  • Computational Drug Discovery Methods
  • Ion-surface interactions and analysis
  • X-ray Spectroscopy and Fluorescence Analysis
  • Various Chemistry Research Topics

Best Publications

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

    Hiroshi Tsugawa;Tomas Cajka;Tobias Kind;Yan Ma

  • 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

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

    Tobias Kind;Oliver Fiehn

  • LipidBlast in silico tandem mass spectrometry database for lipid identification

    Tobias Kind;Kwang Hyeon Liu;Kwang Hyeon Liu;Do Yup Lee;Do Yup Lee;Brian Defelice

  • Metabolomic database annotations via query of elemental compositions: Mass accuracy is insufficient even at less than 1 ppm

    Tobias Kind;Oliver Fiehn

  • Quality control for plant metabolomics: reporting MSI‐compliant studies

    Oliver Fiehn;Gert Wohlgemuth;Martin Scholz;Tobias Kind

  • Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics.

    Ivana Blaženović;Tobias Kind;Jian Ji;Oliver Fiehn;Oliver Fiehn

  • Hydrogen Rearrangement Rules: Computational MS/MS Fragmentation and Structure Elucidation Using MS-FINDER Software

    Hiroshi Tsugawa;Tobias Kind;Ryo Nakabayashi;Daichi Yukihira

  • Advances in structure elucidation of small molecules using mass spectrometry

    Tobias Kind;Oliver Fiehn

  • Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics

    Zijuan Lai;Hiroshi Tsugawa;Gert Wohlgemuth;Sajjan Mehta

  • A comprehensive urinary metabolomic approach for identifying kidney cancerr.

    Tobias Kind;Vladimir Tolstikov;Oliver Fiehn;Robert H. Weiss;Robert H. Weiss

  • Identification of small molecules using accurate mass MS/MS search.

    Tobias Kind;Hiroshi Tsugawa;Tomas Cajka;Yan Ma

  • Mass spectrometry-based metabolic profiling reveals different metabolite patterns in invasive ovarian carcinomas and ovarian borderline tumors.

    Carsten Denkert;Jan Budczies;Tobias Kind;Wilko Weichert

  • Metabolite profiling of human colon carcinoma--deregulation of TCA cycle and amino acid turnover.

    Carsten Denkert;Jan Budczies;Wilko Weichert;Gert Wohlgemuth

  • Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data.

    Sili Fan;Tobias Kind;Tomas Cajka;Stanley L. Hazen

  • MetaMapp: mapping and visualizing metabolomic data by integrating information from biochemical pathways and chemical and mass spectral similarity.

    Dinesh K. Barupal;Pradeep Kumar Haldiya;Gert Wohlgemuth;Tobias Kind

  • MINEs: open access databases of computationally predicted enzyme promiscuity products for untargeted metabolomics

    James G Jeffryes;James G Jeffryes;Ricardo L Colastani;Mona Elbadawi-Sidhu;Tobias Kind

  • Retip: retention time prediction for compound annotation in untargeted metabolomics

    Paolo Bonini;Tobias Kind;Hiroshi Tsugawa;Dinesh Kumar Barupal

  • Critical Assessment of Small Molecule Identification 2016: automated methods

    Emma L. Schymanski;Christoph Ruttkies;Martin Krauss;Céline Brouard;Céline Brouard

  • Spectral entropy outperforms MS/MS dot product similarity for small-molecule compound identification.

    Yuanyue Li;Tobias Kind;Jacob Folz;Arpana Vaniya

  • Structure Annotation of All Mass Spectra in Untargeted Metabolomics

    Ivana Blaženović;Tobias Kind;Michael R. Sa;Jian Ji

Frequent Co-Authors

Oliver Fiehn
Oliver Fiehn University of California, Davis
Manfred Dietel
Manfred Dietel Charité - University Medicine Berlin
Werner Brack
Werner Brack Helmholtz Centre for Environmental Research
Carsten Denkert
Carsten Denkert Philipp University of Marburg
Tomas Cajka
Tomas Cajka Czech Academy of Sciences
Wilko Weichert
Wilko Weichert Technical University of Munich
Kazuki Saito
Kazuki Saito Chiba University
Vivian Hook
Vivian Hook University of California, San Diego
Henner Hollert
Henner Hollert Goethe University Frankfurt
Dieter Jahn
Dieter Jahn Technische Universität Braunschweig

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