Christian M. Beusch
- Molecular Biology
- Spectroscopy top 10%
- Computational Theory and Mathematics top 10%
- Cell Biology
- Oncology
- Co-authors
- Roman A. ZubarevPierre SabatierAmir Ata SaeiMassimiliano GaetaniSusanna L. LundströmZhe YangElias S.J. ArnérQing Cheng
- Topics
- Advanced Proteomics Techniques and Applications (8 papers)Mass Spectrometry Techniques and Applications (5 papers)Redox biology and oxidative stress (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- SwedenRussiaUnited States
In The Last Decade
Christian M. Beusch
17 papers receiving 489 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 355
- Spectroscopy 139
- Computational Theory and Mathematics 47
- Cell Biology 44
- Oncology 43
Countries citing papers authored by Christian M. Beusch
This map shows the geographic impact of Christian M. Beusch'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 Christian M. Beusch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian M. Beusch more than expected).
Fields of papers citing papers by Christian M. Beusch
This network shows the impact of papers produced by Christian M. Beusch. 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 Christian M. Beusch. The network helps show where Christian M. Beusch may publish in the future.
Co-authorship network of co-authors of Christian M. Beusch
This figure shows the co-authorship network connecting the top 25 collaborators of Christian M. Beusch. A scholar is included among the top collaborators of Christian M. Beusch 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 Christian M. Beusch. Christian M. Beusch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 23 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 21 | |
| 15 | 37 | |
| 16 | 48 | |
| 17 | 73 | |
| 18 | 46 | |
| 19 | 161 | |
| 20 | 35 |
About Christian M. Beusch
Christian M. Beusch is a scholar working on Spectroscopy, Pharmaceutical Science and Molecular Biology, having authored 20 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (5 papers) and Redox biology and oxidative stress (4 papers). The work is most often cited by research in Spectroscopy (139 citations), Molecular Biology (355 citations) and Computational Theory and Mathematics (47 citations). Christian M. Beusch has collaborated with scholars based in Sweden, Russia and United States. Frequent co-authors include Roman A. Zubarev, Pierre Sabatier, Amir Ata Saei, Massimiliano Gaetani, Susanna L. Lundström, Zhe Yang, Elias S.J. Arnér, Qing Cheng, Ákos Végvári and Per I. Arvidsson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.