Emma Schymanski

17.5k total citations · 8 hit papers
109 papers, 10.2k citations indexed

About

Emma Schymanski is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Spectroscopy. According to data from OpenAlex, Emma Schymanski has authored 109 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 35 papers in Health, Toxicology and Mutagenesis and 35 papers in Spectroscopy. Recurrent topics in Emma Schymanski's work include Metabolomics and Mass Spectrometry Studies (63 papers), Advanced Chemical Sensor Technologies (29 papers) and Analytical Chemistry and Chromatography (25 papers). Emma Schymanski is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (63 papers), Advanced Chemical Sensor Technologies (29 papers) and Analytical Chemistry and Chromatography (25 papers). Emma Schymanski collaborates with scholars based in Luxembourg, Germany and Switzerland. Emma Schymanski's co-authors include Juliane Hollender, Heinz Singer, Matthias Ruff, Rebekka Gulde, Kathrin Fenner, Junho Jeon, Steffen Neumann, Christoph Ruttkies, Beate I. Escher and Heather M. Stapleton and has published in prestigious journals such as Science, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Emma Schymanski

105 papers receiving 10.1k citations

Hit Papers

Identifying Small Molecules via High Resolution Mass Spec... 2014 2026 2018 2022 2014 2016 2020 2017 2020 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identifying Small Molecules via High Resolution Mass Spectrometry: Communicating Confidence
    2014 3.0k citations Emma Schymanski, Kathrin Fenner et al. Environmental Science & Technology profile →
  2. MetFrag relaunched: incorporating strategies beyond in silico fragmentation
    2016 769 citations Christoph Ruttkies, Emma Schymanski et al. Journal of Cheminformatics profile →
  3. The exposome and health: Where chemistry meets biology
    2020 609 citations Emma Schymanski et al. Science profile →
  4. Nontarget Screening with High Resolution Mass Spectrometry in the Environment: Ready to Go?
    2017 533 citations Juliane Hollender, Emma Schymanski et al. Environmental Science & Technology profile →
  5. Tracking complex mixtures of chemicals in our changing environment
    2020 527 citations Beate I. Escher, Heather M. Stapleton et al. Science profile →
  6. Mass spectral databases for LC/MS- and GC/MS-based metabolomics: State of the field and future prospects
    2015 390 citations Emma Schymanski et al. TrAC Trends in Analytical Chemistry profile →
  7. Communicating Confidence of Per- and Polyfluoroalkyl Substance Identification via High-Resolution Mass Spectrometry
    2022 158 citations Joseph A. Charbonnet, Carrie A. McDonough et al. Environmental Science & Technology Letters profile →
  8. Per- and Polyfluoroalkyl Substances (PFAS) in PubChem: 7 Million and Growing
    2023 146 citations Emma Schymanski, Jian Zhang et al. Environmental Science & Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma Schymanski Luxembourg 41 4.1k 3.9k 2.5k 2.1k 1.6k 109 10.2k
Yuan Zhang China 49 2.1k 0.5× 2.2k 0.6× 2.1k 0.8× 790 0.4× 923 0.6× 408 9.8k
Kathrin Fenner Switzerland 46 1.9k 0.5× 4.8k 1.2× 6.4k 2.5× 882 0.4× 1.3k 0.8× 130 12.5k
Walter Vetter Germany 49 2.4k 0.6× 4.1k 1.1× 959 0.4× 2.2k 1.1× 742 0.5× 496 11.4k
Bruno Le Bizec France 59 3.0k 0.7× 4.8k 1.2× 1.4k 0.5× 2.3k 1.1× 875 0.6× 404 13.4k
Heinz Singer Switzerland 52 2.4k 0.6× 5.4k 1.4× 8.2k 3.2× 1.4k 0.7× 1.4k 0.9× 113 14.3k
Νikolaos S. Τhomaidis Greece 71 1.9k 0.5× 5.1k 1.3× 6.1k 2.4× 1.2k 0.6× 2.0k 1.3× 387 14.9k
Martin Krauß Germany 54 1.4k 0.3× 4.7k 1.2× 4.6k 1.8× 698 0.3× 730 0.5× 223 9.3k
Emilio Benfenati Italy 53 2.2k 0.5× 3.2k 0.8× 1.8k 0.7× 1.1k 0.5× 718 0.5× 511 11.5k
Juliane Hollender Switzerland 71 3.9k 1.0× 7.9k 2.0× 9.6k 3.8× 2.2k 1.0× 2.4k 1.5× 267 19.6k
Sı́lvia Lacorte Spain 68 1.1k 0.3× 7.3k 1.9× 6.2k 2.4× 1.4k 0.7× 1.2k 0.8× 278 13.8k

Countries citing papers authored by Emma Schymanski

Since Specialization
Citations

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

Fields of papers citing papers by Emma Schymanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Schymanski

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Schymanski. A scholar is included among the top collaborators of Emma Schymanski 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 Emma Schymanski. Emma Schymanski 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.
Schymanski, Emma, et al.. (2025). In Silico Frontiers Shaping the Next Generation of Transformation Product Prediction and Toxicological Assessment. Environmental Science & Technology. 59(36). 19095–19106.
2.
Kirkwood‐Donelson, Kaylie I., et al.. (2025). Updated Guidance for Communicating PFAS Identification Confidence with Ion Mobility Spectrometry. Environmental Science & Technology. 59(33). 17711–17721. 3 indexed citations
3.
Zahn, Daniel, Hans Peter H. Arp, Kathrin Fenner, et al.. (2024). Should Transformation Products Change the Way We Manage Chemicals?. Environmental Science & Technology. 58(18). 7710–7718. 36 indexed citations
4.
Alygizakis, ‪Nikiforos, François Lestremau, Pablo Gago-Ferrero, et al.. (2023). Towards a harmonized identification scoring system in LC-HRMS/MS based non-target screening (NTS) of emerging contaminants. TrAC Trends in Analytical Chemistry. 159. 116944–116944. 47 indexed citations
5.
Kondić, Todor, Randolph R. Singh, Benjamin A. Shoemaker, et al.. (2023). Adding open spectral data to MassBank and PubChem using open source tools to support non-targeted exposomics of mixtures. Environmental Science Processes & Impacts. 25(11). 1788–1801. 15 indexed citations
6.
Bach, Eric, Emma Schymanski, & Juho Rousu. (2022). Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data. Nature Machine Intelligence. 4(12). 1224–1237. 25 indexed citations
7.
Charbonnet, Joseph A., Carrie A. McDonough, Feng Xiao, et al.. (2022). Communicating Confidence of Per- and Polyfluoroalkyl Substance Identification via High-Resolution Mass Spectrometry. Environmental Science & Technology Letters. 9(6). 473–481. 158 indexed citations breakdown →
8.
Lai, Adelene, Alex M. Clark, Beate I. Escher, et al.. (2022). The Next Frontier of Environmental Unknowns: Substances of Unknown or Variable Composition, Complex Reaction Products, or Biological Materials (UVCBs). Environmental Science & Technology. 56(12). 7448–7466. 40 indexed citations
9.
10.
Helmus, Rick, Thomas L. ter Laak, Annemarie P. van Wezel, Pim de Voogt, & Emma Schymanski. (2021). patRoon: open source software platform for environmental mass spectrometry based non-target screening. Journal of Cheminformatics. 13(1). 1–1. 137 indexed citations
11.
Aalizadeh, Reza, ‪Nikiforos Alygizakis, Emma Schymanski, et al.. (2021). Development and Application of Liquid Chromatographic Retention Time Indices in HRMS-Based Suspect and Nontarget Screening. Analytical Chemistry. 93(33). 11601–11611. 103 indexed citations
12.
Celma, Alberto, Juan V. Sancho, Emma Schymanski, et al.. (2020). Improving Target and Suspect Screening High-Resolution Mass Spectrometry Workflows in Environmental Analysis by Ion Mobility Separation. Environmental Science & Technology. 54(23). 15120–15131. 91 indexed citations
13.
Ludwig, Marcus, Corey D. Broeckling, Pieter C. Dorrestein, et al.. (2020). Studying Charge Migration Fragmentation of Sodiated Precursor Ions in Collision-Induced Dissociation at the Library Scale. Journal of the American Society for Mass Spectrometry. 32(1). 180–186. 4 indexed citations
14.
Escher, Beate I., Heather M. Stapleton, & Emma Schymanski. (2020). Tracking complex mixtures of chemicals in our changing environment. Science. 367(6476). 388–392. 527 indexed citations breakdown →
15.
Schymanski, Emma, Nancy Baker, Antony Williams, et al.. (2019). Connecting environmental exposure and neurodegeneration using cheminformatics and high resolution mass spectrometry: potential and challenges. Environmental Science Processes & Impacts. 21(9). 1426–1445. 16 indexed citations
16.
Albergamo, Vittorio, Jennifer E. Schollée, Emma Schymanski, et al.. (2019). Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System. Environmental Science & Technology. 53(13). 7584–7594. 80 indexed citations
17.
Albergamo, Vittorio, Beate I. Escher, Emma Schymanski, et al.. (2019). Evaluation of reverse osmosis drinking water treatment of riverbank filtrate using bioanalytical tools and non-target screening. Environmental Science Water Research & Technology. 6(1). 103–116. 28 indexed citations
18.
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
19.
Alygizakis, ‪Nikiforos, Saer Samanipour, Juliane Hollender, et al.. (2018). Exploring the Potential of a Global Emerging Contaminant Early Warning Network through the Use of Retrospective Suspect Screening with High-Resolution Mass Spectrometry. Environmental Science & Technology. 52(9). 5135–5144. 91 indexed citations
20.
Schymanski, Emma, et al.. (2014). Solving CASMI 2013 with MetFrag, MetFusion and MOLGEN-MS/MS (Mass Spectrometry) -- (Special Issue : Critical Assessment of Small Molecule Identification (CASMI 2013)). Journal of the Mass Spectrometry Society of Japan. 62(5). 1–10.

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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