Markus Fleischauer

6.1k total citations · 2 hit papers
9 papers, 2.0k citations indexed

About

Markus Fleischauer is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Markus Fleischauer has authored 9 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Genetics. Recurrent topics in Markus Fleischauer's work include Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (4 papers) and Genomics and Phylogenetic Studies (3 papers). Markus Fleischauer is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (4 papers) and Genomics and Phylogenetic Studies (3 papers). Markus Fleischauer collaborates with scholars based in Germany, United States and Finland. Markus Fleischauer's co-authors include Sebastian Böcker, Marcus Ludwig, Kai Dührkop, Pieter C. Dorrestein, Juho Rousu, Marvin Meusel, Alexey V. Melnik, Alexander A. Aksenov, Martin Hoffmann and Louis‐Félix Nothias and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Molecular Biology and Evolution.

In The Last Decade

Markus Fleischauer

9 papers receiving 2.0k citations

Hit Papers

SIRIUS 4: a rapid tool for turning tandem mass spectra in... 2019 2026 2021 2023 2019 2020 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Fleischauer Germany 7 1.3k 405 288 243 219 9 2.0k
Marcus Ludwig Germany 10 1.4k 1.1× 432 1.1× 291 1.0× 248 1.0× 235 1.1× 16 2.1k
Marvin Meusel Germany 5 1.3k 1.0× 474 1.2× 247 0.9× 216 0.9× 278 1.3× 6 2.0k
Alexey V. Melnik United States 22 1.5k 1.2× 313 0.8× 255 0.9× 387 1.6× 195 0.9× 36 2.5k
Ricardo Silva Brazil 24 1.3k 1.0× 280 0.7× 278 1.0× 336 1.4× 160 0.7× 67 2.2k
Alejandro Villar‐Briones Japan 17 2.5k 1.9× 650 1.6× 495 1.7× 349 1.4× 367 1.7× 23 3.7k
Michael Witting Germany 27 1.3k 1.0× 423 1.0× 270 0.9× 65 0.3× 223 1.0× 80 2.1k
Duane Rinehart United States 12 1.5k 1.1× 462 1.1× 224 0.8× 108 0.4× 310 1.4× 14 2.0k
Sandra Castillo Finland 15 2.7k 2.0× 843 2.1× 456 1.6× 343 1.4× 500 2.3× 27 3.9k
Mitsuhiro Kanazawa Japan 5 1.7k 1.3× 519 1.3× 337 1.2× 118 0.5× 303 1.4× 6 2.5k
Kai Dührkop Germany 18 2.5k 1.9× 943 2.3× 410 1.4× 379 1.6× 510 2.3× 29 3.6k

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-authorship network of co-authors of Markus Fleischauer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Fleischauer. A scholar is included among the top collaborators of Markus Fleischauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Fleischauer. Markus Fleischauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hoffmann, Martin, Louis‐Félix Nothias, Marcus Ludwig, et al.. (2021). High-confidence structural annotation of metabolites absent from spectral libraries. Nature Biotechnology. 40(3). 411–421. 161 indexed citations
2.
Ludwig, Marcus, Louis‐Félix Nothias, Kai Dührkop, et al.. (2020). Publisher Correction: Database-independent molecular formula annotation using Gibbs sampling through ZODIAC. Nature Machine Intelligence. 2(11). 727–727. 2 indexed citations
3.
Ludwig, Marcus, Louis‐Félix Nothias, Kai Dührkop, et al.. (2020). Database-independent molecular formula annotation using Gibbs sampling through ZODIAC. Nature Machine Intelligence. 2(10). 629–641. 134 indexed citations
4.
Ludwig, Marcus, Markus Fleischauer, Kai Dührkop, Martin Hoffmann, & Sebastian Böcker. (2020). De Novo Molecular Formula Annotation and Structure Elucidation Using SIRIUS 4. Methods in molecular biology. 2104. 185–207. 25 indexed citations
5.
Dührkop, Kai, Louis‐Félix Nothias, Markus Fleischauer, et al.. (2020). Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra. Nature Biotechnology. 39(4). 462–471. 467 indexed citations breakdown →
6.
Tripathi, Anupriya, Yoshiki Vázquez‐Baeza, Julia M. Gauglitz, et al.. (2020). Chemically informed analyses of metabolomics mass spectrometry data with Qemistree. Nature Chemical Biology. 17(2). 146–151. 70 indexed citations
7.
Dührkop, Kai, Markus Fleischauer, Marcus Ludwig, et al.. (2019). SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information. Nature Methods. 16(4). 299–302. 1157 indexed citations breakdown →
8.
Fleischauer, Markus & Sebastian Böcker. (2017). Bad Clade Deletion Supertrees: A Fast and Accurate Supertree Algorithm. Molecular Biology and Evolution. 34(9). 2408–2421. 6 indexed citations
9.
Fleischauer, Markus & Sebastian Böcker. (2016). Collecting reliable clades using the Greedy Strict Consensus Merger. PeerJ. 4. e2172–e2172. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026