Martin Schwill
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Oncology 7
- HER2/EGFR in Cancer Research 5
- Cancer Immunotherapy and Biomarkers 1
- Cytokine Signaling Pathways and Interactions 1
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- Glycosylation and Glycoproteins Research 4
- RNA and protein synthesis mechanisms 1
- Biochemical and Structural Characterization 1
- Co-authors
- Andreas Plückthun (7 shared papers)Rastislav Tamaskovic (4 shared papers)Annemarie Honegger (3 shared papers)Christian Jöst (2 shared papers)Johannes Schilling (1 shared paper)Manuel Simon (1 shared paper)Gabriela Nagy‐Davidescu (2 shared papers)Aaron S. Gajadhar (1 shared paper)
- Journals
- Nature Communications (2 papers)Communications Biology (1 paper)Cell Reports (1 paper)Science Signaling (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Martin Schwill
8 papers receiving 363 citations
Peers
Comparison fields: 5 of 51
- Radiology, Nuclear Medicine and Imaging 196
- Oncology 137
- Molecular Biology 237
- Immunology and Allergy 14
- Immunology 34
Countries citing papers authored by Martin Schwill
This map shows the geographic impact of Martin Schwill'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 Martin Schwill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Schwill more than expected).
Fields of papers citing papers by Martin Schwill
This network shows the impact of papers produced by Martin Schwill. 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 Martin Schwill. The network helps show where Martin Schwill may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Schwill, 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 | 2013 | 114 | |
| 2 | 2012 | 97 | |
| 3 | 2021 | 48 | |
| 4 | 2016 | 46 | |
| 5 | 2019 | 37 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 9 | |
| 8 | 2025 | 4 |
About Martin Schwill
Martin Schwill is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Psychiatry and Mental health, having authored 8 papers that have together received 371 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), HER2/EGFR in Cancer Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), RNA and protein synthesis mechanisms (1 paper), Cell Adhesion Molecules Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (196 citations), Oncology (137 citations), Molecular Biology (237 citations), Immunology and Allergy (14 citations) and Immunology (34 citations). Martin Schwill has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Andreas Plückthun, Rastislav Tamaskovic, Annemarie Honegger, Christian Jöst, Johannes Schilling, Manuel Simon, Gabriela Nagy‐Davidescu, Aaron S. Gajadhar, Forest M. White and Jakob C. Stüber. Their work appears in journals such as Nature Communications, Communications Biology, Cell Reports, Science Signaling and Molecular Cancer Therapeutics.
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.