Lorenz Waldmeier
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- RNA Research and Splicing 2
- Oncology 9
- Cancer Cells and Metastasis 4
- HER2/EGFR in Cancer Research 4
- CAR-T cell therapy research 3
- Co-authors
- Gerhard Christofori (5 shared papers)Phil Arnold (2 shared papers)Erik van Nimwegen (2 shared papers)Nathalie Meyer‐Schaller (2 shared papers)Neha Tiwari (2 shared papers)Piotr J. Balwierz (1 shared paper)Vijay Tiwari (1 shared paper)Mikhail Pachkov (1 shared paper)
- Journals
- PLoS ONE (2 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Traffic (1 paper)Cancer Cell (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Lorenz Waldmeier
16 papers receiving 898 citations
Lorenz Waldmeier's Hit Papers
Peers
Comparison fields: 5 of 66
- Cancer Research 268
- Oncology 330
- Molecular Biology 684
- Cell Biology 150
- Radiology, Nuclear Medicine and Imaging 100
Countries citing papers authored by Lorenz Waldmeier
This map shows the geographic impact of Lorenz Waldmeier'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 Lorenz Waldmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz Waldmeier more than expected).
Fields of papers citing papers by Lorenz Waldmeier
This network shows the impact of papers produced by Lorenz Waldmeier. 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 Lorenz Waldmeier. The network helps show where Lorenz Waldmeier may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorenz Waldmeier, 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 | Sox4 Is a Master Regulator of Epithelial-Mesenchymal Transition by Controlling Ezh2 Expression and Epigenetic Reprogramming Hit paper breakdown → | 2013 | 394 |
| 2 | 2013 | 126 | |
| 3 | 2014 | 116 | |
| 4 | 2017 | 62 | |
| 5 | 2012 | 58 | |
| 6 | 2011 | 48 | |
| 7 | 2016 | 30 | |
| 8 | 2009 | 22 | |
| 9 | 2018 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2019 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2017 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2024 | 0 |
About Lorenz Waldmeier
Lorenz Waldmeier is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 910 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer Cells and Metastasis (4 papers), HER2/EGFR in Cancer Research (4 papers), CAR-T cell therapy research (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers) and Metastasis and carcinoma case studies (2 papers). The work is most often cited by research in Cancer Research (268 citations), Oncology (330 citations), Molecular Biology (684 citations), Cell Biology (150 citations) and Radiology, Nuclear Medicine and Imaging (100 citations). Lorenz Waldmeier has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Gerhard Christofori, Phil Arnold, Erik van Nimwegen, Nathalie Meyer‐Schaller, Neha Tiwari, Piotr J. Balwierz, Vijay Tiwari, Mikhail Pachkov, Dirk Schübeler and Maren Diepenbruck. Their work appears in journals such as PLoS ONE, Cancer Research, Molecular Cancer Therapeutics, Traffic and Cancer Cell.
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.