ReviewAngewandte Chemie (International ed. in English)2025
Advancing Organic Chemistry Using High-Throughput Experimentation.
Review in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Chiral Analysis for High-Throughput Reaction Screening: Recent Advances in Accelerating Asymmetric Catalysis Discovery.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Review
- Evaluation of Machine Learning Models for Condition Optimization in Diverse Amide Coupling Reactions.ACS omega · 2026Article
- Generalized Analysis of Electrophilic Small Molecules.Angewandte Chemie (International ed. in English) · 2026Article
- Development of a High-Throughput Experimentation Workflow for Photochemical Reaction Screening.ACS medicinal chemistry letters · 2026Article
- Early-stage drug discovery in a new-generation ultrahigh-throughput mass spectrometry platform.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Direct Quantum Yield Measurement of a Ligand-to-Metal Charge Transfer Photocatalyst via Cyclic Voltammetry.Journal of the American Chemical Society · 2026Article
- Frugal Sampling Strategies for Navigating Complex Reaction Spaces.Organic process research & development · 2026Article
- Yield Prediction of Organic Reactions in Biased Data Sets via Positive-Unlabeled Learning.Journal of the American Chemical Society · 2026Article
- The Impact of Continuous Flow Technology and Collaboration between Academia and Industry.JACS Au · 2026Review
- Flash Communication: Probing Fe Complex Assembly via Thermogravimetric Analysis.Organometallics · 2026Article
- Advancing Organic Chemistry Using High-Throughput Experimentation.Angewandte Chemie (International ed. in English) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
High-throughput experimentation (HTE), the miniaturization and parallelization of reactions, is a valuable tool for accelerating diverse compound library generation, optimizing reaction conditions, and enabling data collection for machine learning (ML) applications. When applied to organic synthesis and methodology, HTE still poses various challenges due to the diverse workflows and reagents required, motivating advancements in reaction design, execution, analysis, and data management. To address these limitations, cutting-edge technologies, automation, and artificial intelligence (AI) have been implemented to standardize protocols, enhance reproducibility, and improve efficiency. Additionally, strategies to reduce bias and promote serendipitous discoveries have further strengthened HTE's impact. This review highlights recent advances at every stage of the HTE workflow, including the development of customized workflows, diverse analysis, and improved data management practices for greater accessibility and shareability. Furthermore, we examine the current state of the field, outstanding challenges, and future directions toward transforming HTE into a fully integrated, flexible, and democratized platform that drives innovation in organic synthesis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.