Michael A. Stravs

1.6k total citations
18 papers, 1.1k citations indexed

About

Michael A. Stravs is a scholar working on Molecular Biology, Spectroscopy and Pollution. According to data from OpenAlex, Michael A. Stravs has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Spectroscopy and 6 papers in Pollution. Recurrent topics in Michael A. Stravs's work include Metabolomics and Mass Spectrometry Studies (8 papers), Analytical Chemistry and Chromatography (5 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). Michael A. Stravs is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Analytical Chemistry and Chromatography (5 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). Michael A. Stravs collaborates with scholars based in Switzerland, Germany and Luxembourg. Michael A. Stravs's co-authors include Juliane Hollender, Emma Schymanski, Heinz Singer, Matthias Ruff, Martin Loos, Philipp Longrée, Sebastian Böcker, Nicola Zamboni, Kai Dührkop and Yixin Zhang and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and Nature Methods.

In The Last Decade

Michael A. Stravs

18 papers receiving 1.1k citations

Peers

Michael A. Stravs

POLLU

SPECT

HTM

Rieko Matsuda Japan

Dušan Žigon Slovenia

Andrei Florin Danet Romania

Jaanus Liigand Estonia

Josué Carinhanha Caldas Santos Brazil

Stephan Walker United States

Maarten Honing Netherlands

Ariadne C. Hogenboom Netherlands

James Harvey United Kingdom

Masahiko Numata Japan

Rieko Matsuda Japan

Michael A. Stravs

317 ×0.5

127 ×0.4

POLLU

390 ×1.5

SPECT

478 ×2.0

HTM

256 ×1.4

Citations per year, relative to Michael A. Stravs Michael A. Stravs (= 1×) peers Rieko Matsuda

Countries citing papers authored by Michael A. Stravs

Since Specialization

Citations

This map shows the geographic impact of Michael A. Stravs'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 Michael A. Stravs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Stravs more than expected).

Fields of papers citing papers by Michael A. Stravs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Stravs. 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 Michael A. Stravs. The network helps show where Michael A. Stravs may publish in the future.

Co-authorship network of co-authors of Michael A. Stravs

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Stravs. A scholar is included among the top collaborators of Michael A. Stravs 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 Michael A. Stravs. Michael A. Stravs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Neumann, Steffen, René Meier, Takaaki Nishioka, et al.. (2025). MassBank: an open and FAIR mass spectral data resource. Nucleic Acids Research. 54(D1). D601–D606. 1 indexed citations

Stravs, Michael A., et al.. (2024). How Wastewater Reflects Human Metabolism─Suspect Screening of Pharmaceutical Metabolites in Wastewater Influent. Environmental Science & Technology. 58(22). 9828–9839. 23 indexed citations

Stravs, Michael A., Kai Dührkop, Sebastian Böcker, & Nicola Zamboni. (2022). MSNovelist: de novo structure generation from mass spectra. Nature Methods. 19(7). 865–870. 107 indexed citations

Rainer, Johannes, Jan Stanstrup, Steffen Neumann, et al.. (2022). A Modular and Expandable Ecosystem for Metabolomics Data Annotation in R. Metabolites. 12(2). 173–173. 66 indexed citations

Stravs, Michael A., Christian Stamm, Christoph Ort, & Heinz Singer. (2021). Transportable Automated HRMS Platform “MS ² field” Enables Insights into Water-Quality Dynamics in Real Time. Environmental Science & Technology Letters. 8(5). 373–380. 35 indexed citations

Egli, Christine, Michael A. Stravs, & Elisabeth M.‐L. Janssen. (2020). Inactivation and Site-specific Oxidation of Aquatic Extracellular Bacterial Leucine Aminopeptidase by Singlet Oxygen. Environmental Science & Technology. 54(22). 14403–14412. 4 indexed citations

Cecilia, Daniele la, et al.. (2020). Continuous high-frequency pesticides monitoring reveals underestimated environmental threats and unique insights into transport patterns. 2 indexed citations

Stravs, Michael A., Francesco Pomati, & Juliane Hollender. (2019). Biodiversity Drives Micropollutant Biotransformation in Freshwater Phytoplankton Assemblages. Environmental Science & Technology. 53(8). 4265–4273. 14 indexed citations

Stanstrup, Jan, Corey D. Broeckling, Rick Helmus, et al.. (2019). The metaRbolomics Toolbox in Bioconductor and beyond. Metabolites. 9(10). 200–200. 60 indexed citations

10.

Huntscha, Sebastian, Michael A. Stravs, Andreas Bühlmann, et al.. (2018). Seasonal Dynamics of Glyphosate and AMPA in Lake Greifensee: Rapid Microbial Degradation in the Epilimnion During Summer. Environmental Science & Technology. 52(8). 4641–4649. 55 indexed citations

11.

Oberacher, Herbert, Vera Reinstadler, Marco Kreidl, et al.. (2018). Annotating Nontargeted LC-HRMS/MS Data with Two Complementary Tandem Mass Spectral Libraries. Metabolites. 9(1). 3–3. 29 indexed citations

12.

Stravs, Michael A., Francesco Pomati, & Juliane Hollender. (2017). Exploring micropollutant biotransformation in three freshwater phytoplankton species. Environmental Science Processes & Impacts. 19(6). 822–832. 41 indexed citations

13.

Schollée, Jennifer E., Emma Schymanski, Michael A. Stravs, et al.. (2017). Similarity of High-Resolution Tandem Mass Spectrometry Spectra of Structurally Related Micropollutants and Transformation Products. Journal of the American Society for Mass Spectrometry. 28(12). 2692–2704. 65 indexed citations

14.

Decurtins, Willy, Moreno Wichert, Raphael M. Franzini, et al.. (2016). Automated screening for small organic ligands using DNA-encoded chemical libraries. Nature Protocols. 11(4). 764–780. 108 indexed citations

15.

Stravs, Michael A., et al.. (2016). Microvolume trace environmental analysis using peak-focusing online solid-phase extraction–nano-liquid chromatography–high-resolution mass spectrometry. Analytical and Bioanalytical Chemistry. 408(7). 1879–1890. 15 indexed citations

16.

Schymanski, Emma, Heinz Singer, Philipp Longrée, et al.. (2013). Strategies to Characterize Polar Organic Contamination in Wastewater: Exploring the Capability of High Resolution Mass Spectrometry. Environmental Science & Technology. 48(3). 1811–1818. 327 indexed citations

17.

Zhang, Yixin, Luca Mannocci, Michael A. Stravs, et al.. (2012). Discovery of Small‐Molecule Interleukin‐2 Inhibitors from a DNA‐Encoded Chemical Library. Chemistry - A European Journal. 18(25). 7729–7737. 83 indexed citations

18.

Stravs, Michael A., Emma Schymanski, Heinz Singer, & Juliane Hollender. (2012). Automatic recalibration and processing of tandem mass spectra using formula annotation. Journal of Mass Spectrometry. 48(1). 89–99. 81 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.

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