Willy Kueng
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Protease and Inhibitor Mechanisms
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
- Co-authors
- Urs Eppenberger (10 shared papers)Serenella Eppenberger‐Castori (7 shared papers)Christopher C. Benz (4 shared papers)Heinz Mueller (3 shared papers)Dan H. Moore (2 shared papers)H. Mueller (2 shared papers)Jean-Marc Schlaeppi (1 shared paper)Manfred Schmitt (1 shared paper)
- Journals
- International Journal of Cancer (2 papers)Journal of Clinical Oncology (2 papers)Analytical Biochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Willy Kueng
11 papers receiving 1.2k citations
Willy Kueng's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 303
- Oncology 391
- Immunology and Allergy 81
- Molecular Biology 555
- Genetics 178
Countries citing papers authored by Willy Kueng
This map shows the geographic impact of Willy Kueng'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 Willy Kueng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willy Kueng more than expected).
Fields of papers citing papers by Willy Kueng
This network shows the impact of papers produced by Willy Kueng. 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 Willy Kueng. The network helps show where Willy Kueng may publish in the future.
Co-authors
The 25 scholars most cited alongside Willy Kueng, 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 | Quantification of cells cultured on 96-well plates Hit paper breakdown → | 1989 | 579 |
| 2 | 1998 | 197 | |
| 3 | 2000 | 127 | |
| 4 | 2002 | 91 | |
| 5 | 2001 | 71 | |
| 6 | 2002 | 59 | |
| 7 | 1998 | 26 | |
| 8 | 1994 | 18 | |
| 9 | 1995 | 11 | |
| 10 | 2008 | 3 | |
| 11 | [Molecular factors determine primary and secondary therapy of breast carcinoma]. | 1997 | 2 |
About Willy Kueng
Willy Kueng is a scholar working on Genetics, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Social Psychology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Melanoma and MAPK Pathways (1 paper), Neuroendocrine regulation and behavior (1 paper), Retinoids in leukemia and cellular processes (1 paper), Breast Cancer Treatment Studies (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cancer Research (303 citations), Oncology (391 citations), Immunology and Allergy (81 citations), Molecular Biology (555 citations) and Genetics (178 citations). Willy Kueng has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Urs Eppenberger, Serenella Eppenberger‐Castori, Christopher C. Benz, Heinz Mueller, Dan H. Moore, H. Mueller, Jean-Marc Schlaeppi, Manfred Schmitt, Markus Zuber and Andrea Matter. Their work appears in journals such as International Journal of Cancer, Journal of Clinical Oncology, Analytical Biochemistry, Biochemical and Biophysical Research Communications and European Journal of Biochemistry.
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.