Markus Fleischauer

6.1k citations
9 papers · 2.0k indexed · 2 hit papers · h-index 7

Impact in

    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • Plant biochemistry and biosynthesis
    • Gut microbiota and health

Papers in

Markus Fleischauer

9 papers receiving 2.0k citations

Hit Papers

Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra 2020 · 467 citations
46720192026202120232505007501000

Peers

Markus Fleischauer
Comparison fields: 5 of 126
  • Spectroscopy 405
  • Molecular Biology 1.3k
  • Biochemistry 91
  • Pharmacology 243
  • Computational Theory and Mathematics 194
Replace Marcus Ludwig with:
Marcus Ludwig Germany
Marvin Meusel Germany
Alexey V. Melnik United States
Ricardo Silva Brazil
Alejandro Villar‐Briones Japan
Gert Wohlgemuth United States
Sandra Castillo Finland
Kai Dührkop Germany
Zhentian Lei United States
Madeleine Ernst Denmark
Markus Fleischauer relative to Marcus Ludwig Germany Marcus Ludwig's profile →
Citations per field
00.5×
Marcus Ludwig · 1×
Citations per year

Countries citing papers authored by Markus Fleischauer

Since Specialization
Citations

This map shows the geographic impact of Markus Fleischauer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Fleischauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Fleischauer more than expected).

Fields of papers citing papers by Markus Fleischauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Fleischauer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Fleischauer. The network helps show where Markus Fleischauer may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Fleischauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Fleischauer Line = papers co-authored together Markus Fleischauer links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information
Hit paper breakdown →
20191157
2
Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra
Hit paper breakdown →
2020467
3 2021161
4 2020134
5 202070
6 202025
7 20176
8 20165
9 20202

About Markus Fleischauer

Markus Fleischauer is a scholar working on Spectroscopy, Ecological Modeling, Paleontology, Molecular Biology and Genetics, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (4 papers), Genomics and Phylogenetic Studies (3 papers), Advanced Chemical Sensor Technologies (2 papers), Bioinformatics and Genomic Networks (2 papers), Genetic diversity and population structure (2 papers), Machine Learning in Bioinformatics (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Spectroscopy (405 citations), Molecular Biology (1.3k citations), Biochemistry (91 citations), Pharmacology (243 citations) and Computational Theory and Mathematics (194 citations). Markus Fleischauer has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Sebastian Böcker, Marcus Ludwig, Kai Dührkop, Pieter C. Dorrestein, Juho Rousu, Alexander A. Aksenov, Alexey V. Melnik, Marvin Meusel, Martin Hoffmann and Louis‐Félix Nothias. Their work appears in journals such as Nature Biotechnology, Nature Machine Intelligence, Nature Methods, Nature Chemical Biology and Molecular Biology and Evolution.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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