Tobias Kind
Molecular Biology · 2006–2018
A researcher in the Science corpus: 8 papers; trusts 6 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 86 citations into it; #1,667 of 17,773 by trust here, #5,189 by citations
- Spectroscopy — 44 citations into it; #1,370 of 1,674 by trust here, #582 by citations
- Computational Theory and Mathematics — 27 citations into it; #1,781 of 12,182 by trust here, #2,489 by citations
- Computational Chemistry & Drug Discovery — 11 citations into it
- Ecology — 10 citations into it; #2,024 of 10,717 by trust here, #4,354 by citations
- Pharmacology — 7 citations into it; #174 of 1,112 by trust here, #688 by citations
- Physical and Theoretical Chemistry — 6 citations into it
Whom Tobias Kind trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Oliver Fiehn
- Christoph Steinbeck
- W. L. Jorgensen
- David S. Wishart
- A. Makarov
- Chun Wei Yap
- Rovshan G. Sadygov
- John J. Irwin
- Alessio Ceroni
- Felicity Allen
Who trusts Tobias Kind overall
- Sebastian Böcker
- Kerstin Scheubert
- Oliver Fiehn
- Masahiro Sugimoto
- I. Blaženović
- Franziska Hufsky
- Rima Kaddurah-Daouk
- Kazuki Saito
- Matthias C. Letzel
- David T. W. Wong
Papers from Tobias Kind's perspective
Ordered by how strongly the researchers Tobias Kind trusts endorse each paper. Same corpus, a different order for every researcher.
- From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
- LMSD: LIPID MAPS structure database (Nucleic Acids Res.)
- The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
- DrugBank: a comprehensive resource for in silico drug discovery and exploration
- ChEBI: a database and ontology for chemical entities of biological interest
- Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry (BMC Bioinformatics)
- HMDB 3.0—The Human Metabolome Database in 2013
- Proposed minimum reporting standards for data analysis in metabolomics (Metabolomics)
- PubChem: Integrated Platform of Small Molecules and Biological Activities
- Sharing and community curation of mass spectrometry data with GNPS (Nature Biotechnology)
Their papers
- Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry (2007) — 1,109 citations
- Metabolomic database annotations via query of elemental compositions: Mass accuracy is insufficient even at less than 1 ppm (2006) — 605 citations
- MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis (2015) — 2,851 citations
- Identifying epimetabolites by integrating metabolome databases with mass spectrometry cheminformatics (2017) — 483 citations
- FiehnLib – mass spectral and retention index libraries for metabolomics based on quadrupole and time-of-flight gas chromatography/mass spectrometry (2009) — 1,372 citations
- LipidBlast - in-silico tandem mass spectrometry database for lipid identification (2013) — 905 citations
- Quality control for plant metabolomics: reporting MSI-compliant studies. (2008) — 631 citations
- Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics (2018) — 630 citations