Kai Dührkop
- Molecular Biology top 5%
- Spectroscopy top 1%
- Biomedical Engineering top 5%
- Computational Theory and Mathematics top 1%
- Plant Science top 5%
- Co-authors
- Sebastian BöckerJuho RousuMarvin MeuselPieter C. DorresteinMarcus LudwigMarkus FleischauerHuibin ShenAlexander A. Aksenov
- Topics
- Metabolomics and Mass Spectrometry Studies (28 papers)Analytical Chemistry and Chromatography (17 papers)Computational Drug Discovery Methods (9 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsEnvironmental Science & Technology
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Kai Dührkop
27 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.5k
- Spectroscopy 943
- Biomedical Engineering 510
- Computational Theory and Mathematics 454
- Plant Science 410
Countries citing papers authored by Kai Dührkop
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 107 | |
| 6 | 7 | |
| 7 | 161 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 134 | |
| 11 | 25 | |
| 12 | Systematic classification of unknown metabolites using high-resolution fragmentation mass spectrabreakdown → | 467 |
| 13 | 70 | |
| 14 | SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure informationbreakdown → | 1157 |
| 15 | 1 | |
| 16 | 123 | |
| 17 | 159 | |
| 18 | Searching molecular structure databases with tandem mass spectra using CSI:FingerIDbreakdown → | 774 |
| 19 | 19 | |
| 20 | 13 |
About Kai Dührkop
Kai Dührkop is a scholar working on Spectroscopy, Computational Theory and Mathematics and Molecular Biology, having authored 29 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (28 papers), Analytical Chemistry and Chromatography (17 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Spectroscopy (943 citations), Molecular Biology (2.5k citations) and Computational Theory and Mathematics (454 citations). Kai Dührkop has collaborated with scholars based in Germany, United States and Finland. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Environmental Science & Technology.
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.