Stephan Wullschleger
Impact in
- Aging top 0.5%
- Molecular Biology top 0.5%
- PI3K/AKT/mTOR signaling in cancer
- Metabolism, Diabetes, and Cancer
- Protein Kinase Regulation and GTPase Signaling
- Fungal and yeast genetics research
- Polyamine Metabolism and Applications
Papers in
- Genetics 5
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Robbie LoewithMichael N. HallWolfgang OppligerEstela JacintoJosé L. CrespoDébora BonenfantPaul JenoeAnja Lorberg
- Journals
- Biochemical Journal (4 papers)British Journal of Cancer (3 papers)Cancer Immunology Research (2 papers)Molecular and Cellular Biology (2 papers)Cancer Discovery (2 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Stephan Wullschleger
26 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Aging 364
- Molecular Biology 6.3k
- Cell Biology 950
- Cancer Research 871
- Oncology 1.3k
Countries citing papers authored by Stephan Wullschleger
This map shows the geographic impact of Stephan Wullschleger'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 Stephan Wullschleger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Wullschleger more than expected).
Fields of papers citing papers by Stephan Wullschleger
This network shows the impact of papers produced by Stephan Wullschleger. 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 Stephan Wullschleger. The network helps show where Stephan Wullschleger may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Wullschleger, 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 | 2023 | 80 | |
| 2 | 2021 | 29 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 30 | |
| 5 | 2017 | 17 | |
| 6 | 2015 | 139 | |
| 7 | A colorectal cancer classification system that associates cellular phenotype and responses to therapy Hit paper breakdown → | 2013 | 721 |
| 8 | 2012 | 48 | |
| 9 | 2012 | 1 | |
| 10 | 2012 | 89 | |
| 11 | 2012 | 36 | |
| 12 | 2012 | 29 | |
| 13 | 2011 | 40 | |
| 14 | 2011 | 42 | |
| 15 | 2010 | 12 | |
| 16 | 2008 | 318 | |
| 17 | 2008 | 101 | |
| 18 | TOR Signaling in Growth and Metabolism Hit paper breakdown → | 2006 | 4654 |
| 19 | 2005 | 184 | |
| 20 | Two TOR Complexes, Only One of which Is Rapamycin Sensitive, Have Distinct Roles in Cell Growth Control Hit paper breakdown → | 2002 | 1519 |
About Stephan Wullschleger
Stephan Wullschleger is a scholar working on Genetics, Periodontics, Oncology, Toxicology and Molecular Biology, having authored 26 papers that have together received 8.8k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (12 papers), Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Aging (364 citations), Molecular Biology (6.3k citations), Cell Biology (950 citations), Cancer Research (871 citations) and Oncology (1.3k citations). Stephan Wullschleger has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Robbie Loewith, Michael N. Hall, Wolfgang Oppliger, Estela Jacinto, José L. Crespo, Débora Bonenfant, Paul Jenoe, Anja Lorberg, Dario R. Alessi and Kei Sakamoto. Their work appears in journals such as Biochemical Journal, British Journal of Cancer, Cancer Immunology Research, Molecular and Cellular Biology and Cancer Discovery.
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.