Almut Dufner
Impact in
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
- Metabolism, Diabetes, and Cancer
- Polyamine Metabolism and Applications
- Muscle Physiology and Disorders
- Melanoma and MAPK Pathways
- Cell Biology top 10%
Papers in
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- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
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- Ubiquitin and proteasome pathways 4
- Protein Kinase Regulation and GTPase Signaling 3
- Inflammasome and immune disorders 2
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- George W. Thomas (1 shared paper)Brian A. Hemmings (2 shared papers)Mirjana Andjelković (2 shared papers)George Thomas (1 shared paper)Patrick B. Dennis (1 shared paper)Sara C. Kozma (1 shared paper)Nick Pullen (1 shared paper)Klaus‐Peter Knobeloch (5 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Cell Cycle (2 papers)Experimental Cell Research (1 paper)Science (1 paper)Nature Immunology (1 paper)
- Partner nations
- GermanySwitzerlandCanada
In The Last Decade
Almut Dufner
12 papers receiving 1.7k citations
Almut Dufner's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.3k
- Cell Biology 202
- Immunology 209
- Aging 18
- Cancer Research 132
Countries citing papers authored by Almut Dufner
This map shows the geographic impact of Almut Dufner'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 Almut Dufner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Almut Dufner more than expected).
Fields of papers citing papers by Almut Dufner
This network shows the impact of papers produced by Almut Dufner. 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 Almut Dufner. The network helps show where Almut Dufner may publish in the future.
Co-authors
The 25 scholars most cited alongside Almut Dufner, 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 | Phosphorylation and Activation of p70 s6k by PDK1 Hit paper breakdown → | 1998 | 742 |
| 2 | 1999 | 607 | |
| 3 | 1999 | 153 | |
| 4 | 2015 | 64 | |
| 5 | 2019 | 52 | |
| 6 | 2006 | 50 | |
| 7 | 2007 | 20 | |
| 8 | 2006 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2024 | 12 | |
| 11 | 2011 | 10 | |
| 12 | 2015 | 1 | |
| 13 | 2026 | 0 |
About Almut Dufner
Almut Dufner is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Genetics, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Immunotherapy and Immune Responses (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), NF-κB Signaling Pathways (2 papers), T-cell and B-cell Immunology (2 papers), Inflammasome and immune disorders (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (202 citations), Immunology (209 citations), Aging (18 citations) and Cancer Research (132 citations). Almut Dufner has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include George W. Thomas, Brian A. Hemmings, Mirjana Andjelković, George Thomas, Patrick B. Dennis, Sara C. Kozma, Nick Pullen, Klaus‐Peter Knobeloch, Boudewijn M.T. Burgering and George Thomas. Their work appears in journals such as Molecular and Cellular Biology, Cell Cycle, Experimental Cell Research, Science and Nature Immunology.
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.