Moritz Widmaier
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Skin and Cellular Biology Research
- Caveolin-1 and cellular processes
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 5
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- Skin and Cellular Biology Research 2
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Reinhard Fässler (5 shared papers)Emanuel Rognoni (4 shared papers)Ralph T. Böttcher (3 shared papers)Siegfried Ussar (2 shared papers)Alexander Meves (1 shared paper)Christopher Stremmel (1 shared paper)Orsolya Genzel‐Boroviczény (1 shared paper)Markus Moser (1 shared paper)
- Journals
- Journal for ImmunoTherapy of Cancer (2 papers)Journal of Clinical Oncology (1 paper)Nature Medicine (1 paper)eLife (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Moritz Widmaier
10 papers receiving 899 citations
Peers
Comparison fields: 5 of 63
- Immunology and Allergy 391
- Cell Biology 413
- Oncology 185
- Immunology 130
- Cancer Research 69
Countries citing papers authored by Moritz Widmaier
This map shows the geographic impact of Moritz Widmaier'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 Moritz Widmaier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Widmaier more than expected).
Fields of papers citing papers by Moritz Widmaier
This network shows the impact of papers produced by Moritz Widmaier. 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 Moritz Widmaier. The network helps show where Moritz Widmaier may publish in the future.
Co-authors
The 25 scholars most cited alongside Moritz Widmaier, 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 | 2016 | 203 | |
| 2 | 2008 | 171 | |
| 3 | 2012 | 169 | |
| 4 | 2014 | 104 | |
| 5 | 2019 | 78 | |
| 6 | 2018 | 69 | |
| 7 | 2012 | 57 | |
| 8 | 2019 | 40 | |
| 9 | 2017 | 12 | |
| 10 | 2019 | 2 | |
| 11 | 2024 | 0 |
About Moritz Widmaier
Moritz Widmaier is a scholar working on Oncology, Cell Biology, Immunology and Allergy, Molecular Biology and Surgery, having authored 11 papers that have together received 905 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Cell Adhesion Molecules Research (4 papers), Skin and Cellular Biology Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Cancer Genomics and Diagnostics (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology and Allergy (391 citations), Cell Biology (413 citations), Oncology (185 citations), Immunology (130 citations) and Cancer Research (69 citations). Moritz Widmaier has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Reinhard Fässler, Emanuel Rognoni, Ralph T. Böttcher, Siegfried Ussar, Alexander Meves, Christopher Stremmel, Orsolya Genzel‐Boroviczény, Markus Moser, Hannelore Meyer and Armin Lambacher. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Journal of Clinical Oncology, Nature Medicine, eLife and Journal of Cell Science.
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.