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
- Protein Structure and Dynamics 3
- Receptor Mechanisms and Signaling 3
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Natalia Jura (6 shared papers)Melissa Call (7 shared papers)Matthew E. Call (6 shared papers)Tarjani Thaker (2 shared papers)Kliment A. Verba (4 shared papers)Devan Diwanji (4 shared papers)Feng Wang (1 shared paper)David A. Agard (1 shared paper)
- Journals
- Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)eLife (2 papers)Nature Communications (1 paper)Langmuir (1 paper)Crystal Growth & Design (1 paper)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Raphael Trenker
15 papers receiving 440 citations
Peers
Comparison fields: 5 of 78
- Structural Biology 7
- Oncology 117
- Radiology, Nuclear Medicine and Imaging 86
- Molecular Biology 264
- Immunology 54
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 | 146 | |
| 2 | 2021 | 77 | |
| 3 | 2015 | 40 | |
| 4 | 2022 | 36 | |
| 5 | 2019 | 35 | |
| 6 | 2017 | 27 | |
| 7 | 2019 | 19 | |
| 8 | 2016 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2023 | 11 | |
| 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 447 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Lipid Membrane Structure and Behavior (4 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), Receptor Mechanisms and Signaling (3 papers), HER2/EGFR in Cancer Research (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Structural Biology (7 citations), Oncology (117 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Molecular Biology (264 citations) and Immunology (54 citations). Raphael Trenker has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Natalia Jura, Melissa Call, Matthew E. Call, Tarjani Thaker, Kliment A. Verba, Devan Diwanji, Feng Wang, David A. Agard, Dirk M. Reiter and Adam Frost. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, eLife, Nature Communications, Langmuir and Crystal Growth & Design.
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.