Robin Schmid

3.8k total citations
35 papers, 1.0k citations indexed

About

Robin Schmid is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Robin Schmid has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Spectroscopy and 7 papers in Biomedical Engineering. Recurrent topics in Robin Schmid's work include Metabolomics and Mass Spectrometry Studies (21 papers), Analytical Chemistry and Chromatography (10 papers) and Mass Spectrometry Techniques and Applications (10 papers). Robin Schmid is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (21 papers), Analytical Chemistry and Chromatography (10 papers) and Mass Spectrometry Techniques and Applications (10 papers). Robin Schmid collaborates with scholars based in Germany, United States and Czechia. Robin Schmid's co-authors include Charles N. Reilley, Ansgar Korf, Pieter C. Dorrestein, Heiko Hayen, Mingxun Wang, Patrick O. Helmer, Uwe Kärst, Justin J. J. van der Hooft, Daniel Petras and Julia M. Gauglitz and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Environmental Science & Technology.

In The Last Decade

Robin Schmid

32 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Schmid Germany 17 326 231 222 193 137 35 1.0k
G. Weber Germany 25 533 1.6× 166 0.7× 208 0.9× 90 0.5× 270 2.0× 93 2.0k
Stanley R. Crouch United States 16 100 0.3× 168 0.7× 166 0.7× 160 0.8× 141 1.0× 47 872
A. Parczewski Poland 20 148 0.5× 290 1.3× 80 0.4× 89 0.5× 143 1.0× 70 1.2k
P. Mäder Czechia 22 334 1.0× 84 0.4× 296 1.3× 74 0.4× 78 0.6× 50 1.1k
Elida Nora Ferri Italy 20 510 1.6× 93 0.4× 101 0.5× 83 0.4× 274 2.0× 66 1.4k
Roger Galvé Spain 19 597 1.8× 105 0.5× 142 0.6× 77 0.4× 375 2.7× 34 1.2k
A. Townshend United Kingdom 18 226 0.7× 188 0.8× 153 0.7× 105 0.5× 188 1.4× 52 1.2k
Hideo Imai Japan 18 201 0.6× 280 1.2× 187 0.8× 111 0.6× 174 1.3× 85 873
Ugo Bussy United States 18 189 0.6× 191 0.8× 182 0.8× 46 0.2× 58 0.4× 56 902

Countries citing papers authored by Robin Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Robin Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin Schmid. 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 Robin Schmid. The network helps show where Robin Schmid may publish in the future.

Co-authorship network of co-authors of Robin Schmid

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

All Works

20 of 20 papers shown
1.
Brungs, Corinna, Robin Schmid, Steffen Heuckeroth, et al.. (2025). MSnLib: efficient generation of open multi-stage fragmentation mass spectral libraries. Nature Methods. 22(10). 2028–2031.
2.
Rudt, Edward, Steffen Heuckeroth, Robin Schmid, et al.. (2025). Rapid MALDI-MS/MS-Based Profiling of Lipid A Species from Gram-Negative Bacteria Utilizing Trapped Ion Mobility Spectrometry and mzmine. Analytical Chemistry. 97(14). 7781–7788. 1 indexed citations
3.
Vitale, Giovanni Andrea, Kai Dührkop, Heike Brötz‐Oesterhelt, et al.. (2025). Enhancing tandem mass spectrometry-based metabolite annotation with online chemical labeling. Nature Communications. 16(1). 6911–6911.
4.
Reitz, Zachary L., et al.. (2024). Native metabolomics for mass spectrometry-based siderophore discovery. Methods in enzymology on CD-ROM/Methods in enzymology. 702. 317–352.
5.
Mutabdžija, Lana, Tito Damiani, Robin Schmid, et al.. (2024). Studying Plant Specialized Metabolites Using Computational Metabolomics Strategies. Methods in molecular biology. 2788. 97–136. 1 indexed citations
6.
Heuckeroth, Steffen, Tito Damiani, Aleksandr Smirnov, et al.. (2024). Reproducible mass spectrometry data processing and compound annotation in MZmine 3. Nature Protocols. 19(9). 2597–2641. 48 indexed citations
7.
Nothias, Louis‐Félix, Robin Schmid, Valérie André, et al.. (2024). Functional metabolomics of the human scalp: a metabolic niche for Staphylococcus epidermidis. mSystems. 9(2). e0035623–e0035623. 1 indexed citations
8.
Heuckeroth, Steffen, Katharina Kronenberg, Corinna Brungs, et al.. (2023). On-tissue dataset-dependent MALDI-TIMS-MS2 bioimaging. Nature Communications. 14(1). 7495–7495. 23 indexed citations
9.
Stincone, Paolo, Robin Schmid, Allegra T. Aron, et al.. (2023). Evaluation of Data-Dependent MS/MS Acquisition Parameters for Non-Targeted Metabolomics and Molecular Networking of Environmental Samples: Focus on the Q Exactive Platform. Analytical Chemistry. 95(34). 12673–12682. 31 indexed citations
10.
West, Kiana, Robin Schmid, Julia M. Gauglitz, Mingxun Wang, & Pieter C. Dorrestein. (2022). foodMASST a mass spectrometry search tool for foods and beverages. npj Science of Food. 6(1). 22–22. 27 indexed citations
11.
12.
Schmid, Robin, et al.. (2021). Feature-based molecular networking for identification of organic micropollutants including metabolites by non-target analysis applied to riverbank filtration. Analytical and Bioanalytical Chemistry. 413(21). 5291–5300. 20 indexed citations
13.
Aron, Allegra T., Daniel Petras, Robin Schmid, et al.. (2021). Native mass spectrometry-based metabolomics identifies metal-binding compounds. Nature Chemistry. 14(1). 100–109. 48 indexed citations
14.
15.
Holtkamp, Michael, et al.. (2019). Multimodal imaging of hallucinogens 25C‐ and 25I‐NBOMe on blotter papers. Drug Testing and Analysis. 12(4). 465–471. 7 indexed citations
16.
Hövelmann, Yannick, Annika Jagels, Robin Schmid, Florian Hübner, & Hans‐Ulrich Humpf. (2019). Identification of potential human urinary biomarkers for tomato juice intake by mass spectrometry-based metabolomics. European Journal of Nutrition. 59(2). 685–697. 16 indexed citations
17.
Bishop, David, Lucas Blanes, Kevin Killeen, et al.. (2017). Microfluidic high performance liquid chromatography-chip hyphenation to inductively coupled plasma–mass spectrometry. Journal of Chromatography A. 1497. 64–69. 21 indexed citations
18.
Reilley, Charles N. & Robin Schmid. (1959). Principles of End Point Detection in Chelometric Titrations Using Metallochromic Indicators. Characterization of End Point Sharpness. Analytical Chemistry. 31(5). 887–897. 43 indexed citations
19.
Reilley, Charles N. & Robin Schmid. (1958). Chelometric Titrations with Potentiometric End Point Detection. Analytical Chemistry. 30(5). 947–953. 122 indexed citations
20.
Schmid, Robin & Charles N. Reilley. (1956). A SIMPLE, RAPID METHOD FOR DETERMINATION OF METAL CHELATE STABILITY CONSTANTS. Journal of the American Chemical Society. 78(12). 2910–2911. 6 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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