On the public citation graph

Lipid Quant 2.1: Open-Source Software for Identification and Quantification of Lipids Measured by Lipid Class Separation High-Resolution Mass Spectrometry Methods

0 signed · 19 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/mas.21492openalex-extracted

Selection of internal standards for accurate quantification of complex lipid species in biological extracts by electrospray ionization mass spectrometry—What, how and why?

inferredcites →https://doi.org/10.1002/nav.3800020109openalex-extracted

The Hungarian method for the assignment problem

inferredcites →https://doi.org/10.1007/s00216-020-02473-3openalex-extracted

Validation of lipidomic analysis of human plasma and serum by supercritical fluid chromatography–mass spectrometry and hydrophilic interaction liquid chromatography–mass spectrometry

inferredcites →https://doi.org/10.1016/j.cell.2010.11.033openalex-extracted

Lipidomics: New Tools and Applications

inferredcites →https://doi.org/10.1016/j.chroma.2014.12.023openalex-extracted

Determination of nonpolar and polar lipid classes in human plasma, erythrocytes and plasma lipoprotein fractions using ultrahigh-performance liquid chromatography-mass spectrometry

inferredcites →https://doi.org/10.1016/j.jchromb.2015.07.011openalex-extracted

Lipidomic differentiation between human kidney tumors and surrounding normal tissues using HILIC-HPLC/ESI–MS and multivariate data analysis

inferredcites →https://doi.org/10.1021/ac00111a031openalex-extracted

Rapid Calculation of Isotope Distributions

inferredcites →https://doi.org/10.1021/acs.analchem.5b01054openalex-extracted

High-Throughput and Comprehensive Lipidomic Analysis Using Ultrahigh-Performance Supercritical Fluid Chromatography–Mass Spectrometry

inferredcites →https://doi.org/10.1021/acs.jproteome.5b00841openalex-extracted

Adaptation of Skyline for Targeted Lipidomics

inferredcites →https://doi.org/10.1038/s41467-020-15960-zopenalex-extracted

LipidCreator workbench to probe the lipidomic landscape

inferredcites →https://doi.org/10.1038/s41467-021-27765-9openalex-extracted

Lipidomic profiling of human serum enables detection of pancreatic cancer

inferredcites →https://doi.org/10.1038/s41587-023-01690-2openalex-extracted

Integrative analysis of multimodal mass spectrometry data in MZmine 3

inferredcites →https://doi.org/10.1038/s42255-019-0094-zopenalex-extracted

Lipidomics needs more standardization

inferredcites →https://doi.org/10.1093/bioinformatics/btab644openalex-extracted

LipidQuant 1.0: automated data processing in lipid class separation–mass spectrometry quantitative workflows

inferredcites →https://doi.org/10.1093/bioinformatics/btq699openalex-extracted

Lipid Data Analyzer: unattended identification and quantitation of lipids in LC-MS data

inferredcites →https://doi.org/10.1093/bioinformatics/btx046openalex-extracted

LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data

inferredcites →https://doi.org/10.1186/s12859-017-1744-3openalex-extracted

LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data

inferredcites →https://doi.org/10.1371/journal.pone.0079736openalex-extracted

Analysis of Lipid Experiments (ALEX): A Software Framework for Analysis of High-Resolution Shotgun Lipidomics Data

inferredcites →https://doi.org/10.2307/2286501openalex-extracted

Solving Least Squares Problems.

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.