Raphael Trenker
Impact in
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- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
Papers in
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- Lipid Membrane Structure and Behavior 4
- Receptor Mechanisms and Signaling 3
- Protein Structure and Dynamics 3
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Natalia Jura (6 shared papers)Melissa Call (7 shared papers)Matthew E. Call (6 shared papers)Tarjani Thaker (2 shared papers)Devan Diwanji (4 shared papers)Kliment A. Verba (4 shared papers)David A. Agard (1 shared paper)Ioannis Vakonakis (1 shared paper)
- Journals
- eLife (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)Current Opinion in Cell Biology (1 paper)PLoS Pathogens (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Raphael Trenker
15 papers receiving 421 citations
Peers
Comparison fields: 5 of 82
- Structural Biology 7
- Oncology 116
- Molecular Biology 267
- Radiology, Nuclear Medicine and Imaging 86
- Immunology 56
Countries citing papers authored by Raphael Trenker
This map shows the geographic impact of Raphael Trenker'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 Raphael Trenker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Trenker more than expected).
Fields of papers citing papers by Raphael Trenker
This network shows the impact of papers produced by Raphael Trenker. 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 Raphael Trenker. The network helps show where Raphael Trenker may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Trenker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 139 | |
| 2 | 2021 | 71 | |
| 3 | 2015 | 40 | |
| 4 | 2019 | 34 | |
| 5 | 2022 | 34 | |
| 6 | 2017 | 25 | |
| 7 | 2019 | 19 | |
| 8 | 2016 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2015 | 4 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 0 |
About Raphael Trenker
Raphael Trenker is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Materials Chemistry, having authored 16 papers that have together received 428 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Lipid Membrane Structure and Behavior (4 papers), HER2/EGFR in Cancer Research (3 papers), Enzyme Structure and Function (3 papers), Receptor Mechanisms and Signaling (3 papers), Immune Cell Function and Interaction (3 papers), Protein Structure and Dynamics (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Structural Biology (7 citations), Oncology (116 citations), Molecular Biology (267 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Immunology (56 citations). Raphael Trenker has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Natalia Jura, Melissa Call, Matthew E. Call, Tarjani Thaker, Devan Diwanji, Kliment A. Verba, David A. Agard, Ioannis Vakonakis, Erin Cutts and Phillip J. Stansfeld. Their work appears in journals such as eLife, Methods in enzymology on CD-ROM/Methods in enzymology, Current Opinion in Cell Biology, PLoS Pathogens 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.