Kai Dührkop

9.2k total citations · 3 hit papers
29 papers, 3.6k citations indexed

About

Kai Dührkop is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Kai Dührkop has authored 29 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Spectroscopy and 9 papers in Computational Theory and Mathematics. Recurrent topics in Kai Dührkop's work include Metabolomics and Mass Spectrometry Studies (28 papers), Analytical Chemistry and Chromatography (17 papers) and Computational Drug Discovery Methods (9 papers). Kai Dührkop is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (28 papers), Analytical Chemistry and Chromatography (17 papers) and Computational Drug Discovery Methods (9 papers). Kai Dührkop collaborates with scholars based in Germany, United States and Finland. Kai Dührkop's co-authors include Sebastian Böcker, Juho Rousu, Marvin Meusel, Pieter C. Dorrestein, Marcus Ludwig, Markus Fleischauer, Huibin Shen, Alexander A. Aksenov, Alexey V. Melnik and Louis‐Félix Nothias and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Environmental Science & Technology.

In The Last Decade

Kai Dührkop

27 papers receiving 3.6k citations

Hit Papers

align trajectories

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.

SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information

2019 1.2k citations Kai Dührkop, Markus Fleischauer et al. Nature Methods profile →
Searching molecular structure databases with tandem mass spectra using CSI:FingerID

2015 774 citations Kai Dührkop, Huibin Shen et al. Proceedings of the National Academy of Sciences profile →
Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra

2020 467 citations Kai Dührkop, Louis‐Félix Nothias et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Dührkop Germany	18	2.5k	943	510	454	410	29	3.6k
Tomáš Pluskal United States	25	3.4k 1.4×	836 0.9×	482 0.9×	334 0.7×	794 1.9×	45	5.0k
Justin J. J. van der Hooft Netherlands	41	3.6k 1.5×	919 1.0×	440 0.9×	498 1.1×	634 1.5×	98	5.2k
Mingxun Wang United States	25	2.6k 1.0×	642 0.7×	200 0.4×	304 0.7×	331 0.8×	66	3.7k
H. Paul Benton United States	25	2.6k 1.1×	959 1.0×	565 1.1×	179 0.4×	241 0.6×	33	3.6k
Louis‐Félix Nothias United States	29	2.8k 1.1×	536 0.6×	213 0.4×	433 1.0×	594 1.4×	59	4.1k
Sandra Castillo Finland	15	2.7k 1.1×	843 0.9×	500 1.0×	95 0.2×	456 1.1×	27	3.9k
Julien Boccard Switzerland	37	2.1k 0.8×	1.1k 1.2×	512 1.0×	142 0.3×	483 1.2×	129	4.0k
Hiroshi Tsugawa Japan	31	4.6k 1.9×	1.6k 1.7×	838 1.6×	254 0.6×	867 2.1×	71	6.6k
Alejandro Villar‐Briones Japan	17	2.5k 1.0×	650 0.7×	367 0.7×	83 0.2×	495 1.2×	23	3.7k
Marcus Ludwig Germany	10	1.4k 0.6×	432 0.5×	235 0.5×	214 0.5×	291 0.7×	16	2.1k

Countries citing papers authored by Kai Dührkop

Since Specialization

Citations

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

Fields of papers citing papers by Kai Dührkop

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Dührkop

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tang, Wei, et al.. (2025). Enhancing Chimeric Fragmentation Spectra Deconvolution Using Direct Infusion–Tandem Mass Spectrometry Across High‐Resolution Mass Spectrometric Platforms. Rapid Communications in Mass Spectrometry. 40(3). e10170–e10170.

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.

Peets, Pilleriin, et al.. (2025). Chemical characteristics vectors map the chemical space of natural biomes from untargeted mass spectrometry data. Journal of Cheminformatics. 17(1). 82–82. 1 indexed citations

Hill, Dennis W., et al.. (2023). Combining Experimental with Computational Infrared and Mass Spectra for High-Throughput Nontargeted Chemical Structure Identification. Analytical Chemistry. 95(32). 11901–11907. 3 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

Dührkop, Kai. (2022). Deep kernel learning improves molecular fingerprint prediction from tandem mass spectra. Bioinformatics. 38(Supplement_1). i342–i349. 7 indexed citations

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

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

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

10.

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

11.

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

12.

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 →

13.

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

14.

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 →

15.

Dührkop, Kai, et al.. (2018). Heuristic Algorithms for the Maximum Colorful Subtree Problem. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

16.

Scheubert, Kerstin, Franziska Hufsky, Daniel Petras, et al.. (2017). Significance estimation for large scale metabolomics annotations by spectral matching. Nature Communications. 8(1). 1494–1494. 123 indexed citations

17.

Böcker, Sebastian & Kai Dührkop. (2016). Fragmentation trees reloaded. Journal of Cheminformatics. 8(1). 5–5. 159 indexed citations

18.

Dührkop, Kai, Huibin Shen, Marvin Meusel, Juho Rousu, & Sebastian Böcker. (2015). Searching molecular structure databases with tandem mass spectra using CSI:FingerID. Proceedings of the National Academy of Sciences. 112(41). 12580–12585. 774 indexed citations breakdown →

19.

Dührkop, Kai, Franziska Hufsky, & Sebastian Böcker. (2014). Molecular Formula Identification Using Isotope Pattern Analysis and Calculation of Fragmentation Trees. Mass Spectrometry. 3(Special_Issue_2). S0037–S0037. 19 indexed citations

20.

Hufsky, Franziska, Kai Dührkop, Florian Rasche, Markus Chimani, & Sebastian Böcker. (2012). Fast alignment of fragmentation trees. Bioinformatics. 28(12). i265–i273. 13 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