Benedict‐Tilman Berger
- Molecular Biology
- Organic Chemistry top 10%
- Oncology
- Computational Theory and Mathematics top 5%
- Hematology top 10%
- Co-authors
- Stefan KnappSusanne MüllerA. ChaikuadMatthew B. RobersStefan LauferThomas HankeJames D. VastaLena M. Berger
- Topics
- Protein Kinase Regulation and GTPase Signaling (8 papers)Ubiquitin and proteasome pathways (8 papers)Protein Degradation and Inhibitors (8 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Benedict‐Tilman Berger
47 papers receiving 885 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 590
- Organic Chemistry 207
- Oncology 197
- Computational Theory and Mathematics 121
- Hematology 79
Countries citing papers authored by Benedict‐Tilman Berger
This map shows the geographic impact of Benedict‐Tilman Berger'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 Benedict‐Tilman Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedict‐Tilman Berger more than expected).
Fields of papers citing papers by Benedict‐Tilman Berger
This network shows the impact of papers produced by Benedict‐Tilman Berger. 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 Benedict‐Tilman Berger. The network helps show where Benedict‐Tilman Berger may publish in the future.
Co-authorship network of co-authors of Benedict‐Tilman Berger
This figure shows the co-authorship network connecting the top 25 collaborators of Benedict‐Tilman Berger. A scholar is included among the top collaborators of Benedict‐Tilman Berger 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 Benedict‐Tilman Berger. Benedict‐Tilman Berger 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 | 8 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 35 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 43 | |
| 11 | 3 | |
| 12 | 40 | |
| 13 | 5 | |
| 14 | 50 | |
| 15 | 18 | |
| 16 | 14 | |
| 17 | 20 | |
| 18 | 38 | |
| 19 | 39 | |
| 20 | 19 |
About Benedict‐Tilman Berger
Benedict‐Tilman Berger is a scholar working on Immunology and Allergy, Molecular Biology and Oncology, having authored 50 papers that have together received 904 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Ubiquitin and proteasome pathways (8 papers) and Protein Degradation and Inhibitors (8 papers). The work is most often cited by research in Molecular Biology (590 citations), Computational Theory and Mathematics (121 citations) and Organic Chemistry (207 citations). Benedict‐Tilman Berger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Knapp, Susanne Müller, A. Chaikuad, Matthew B. Robers, Stefan Laufer, Thomas Hanke, James D. Vasta, Lena M. Berger, Martin Schröder and Andreas Krämer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.