Sören‐Oliver Deininger
- Spectroscopy top 0.5%
- Molecular Biology top 10%
- Computational Mechanics top 5%
- Cell Biology top 10%
- Biophysics top 5%
- Co-authors
- Michael BeckerDetlev SuckauAxel WalchMatthias EbertSandra RauserChristoph RöckenCharles PineauMarianne Wiechers
- Topics
- Mass Spectrometry Techniques and Applications (23 papers)Advanced Proteomics Techniques and Applications (13 papers)Metabolomics and Mass Spectrometry Studies (9 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Sören‐Oliver Deininger
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Spectroscopy 1.1k
- Molecular Biology 1.1k
- Computational Mechanics 173
- Cell Biology 152
- Biophysics 96
Countries citing papers authored by Sören‐Oliver Deininger
This map shows the geographic impact of Sören‐Oliver Deininger'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 Sören‐Oliver Deininger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sören‐Oliver Deininger more than expected).
Fields of papers citing papers by Sören‐Oliver Deininger
This network shows the impact of papers produced by Sören‐Oliver Deininger. 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 Sören‐Oliver Deininger. The network helps show where Sören‐Oliver Deininger may publish in the future.
Co-authorship network of co-authors of Sören‐Oliver Deininger
This figure shows the co-authorship network connecting the top 25 collaborators of Sören‐Oliver Deininger. A scholar is included among the top collaborators of Sören‐Oliver Deininger 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 Sören‐Oliver Deininger. Sören‐Oliver Deininger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 29 | |
| 5 | 27 | |
| 6 | 31 | |
| 7 | 4 | |
| 8 | 63 | |
| 9 | 3 | |
| 10 | 112 | |
| 11 | 192 | |
| 12 | 31 | |
| 13 | 71 | |
| 14 | 44 | |
| 15 | P98-M Class Imaging—Multivariate Statistical Classification of MALDI Tissue Imaging Data | 1 |
| 16 | P110-M A New Preparation Technique for MALDI Tissue Imaging. | 1 |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 27 | |
| 20 | 191 |
About Sören‐Oliver Deininger
Sören‐Oliver Deininger is a scholar working on Spectroscopy, Molecular Biology and Internal Medicine, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (23 papers), Advanced Proteomics Techniques and Applications (13 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Biophysics (96 citations) and Molecular Biology (1.1k citations). Sören‐Oliver Deininger has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Michael Becker, Detlev Suckau, Axel Walch, Matthias Ebert, Sandra Rauser, Christoph Röcken, Charles Pineau, Marianne Wiechers, Rainer Paape and Helmut Plattner. Their work appears in journals such as Analytical Chemistry, Nature Methods and Molecular Biology of the Cell.
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.