Marlene Dallmayer
Impact in
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- Cancer-related molecular mechanisms research
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- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- DNA Repair Mechanisms 1
- PI3K/AKT/mTOR signaling in cancer 1
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- Genetic factors in colorectal cancer 1
- Co-authors
- Thomas G. P. Grünewald (4 shared papers)Julian Musa (4 shared papers)Thomas Kirchner (4 shared papers)Michaela C. Baldauf (3 shared papers)Martin F. Orth (3 shared papers)Catia Lo Pardo (1 shared paper)Barak Rotblat (1 shared paper)Gabriel Leprivier (1 shared paper)
- Journals
- Trends in cancer (1 paper)American Journal of Medical Genetics Part C Seminars in Medical Genetics (1 paper)Cell Death and Disease (1 paper)Oncotarget (1 paper)Oncogene (1 paper)
- Partner nations
- GermanySwitzerlandTürkiye
In The Last Decade
Marlene Dallmayer
5 papers receiving 299 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 51
- Molecular Biology 188
- Pulmonary and Respiratory Medicine 69
- Cell Biology 30
- Oncology 44
Countries citing papers authored by Marlene Dallmayer
This map shows the geographic impact of Marlene Dallmayer'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 Marlene Dallmayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlene Dallmayer more than expected).
Fields of papers citing papers by Marlene Dallmayer
This network shows the impact of papers produced by Marlene Dallmayer. 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 Marlene Dallmayer. The network helps show where Marlene Dallmayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Marlene Dallmayer, 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 | 132 | |
| 2 | 2017 | 51 | |
| 3 | 2019 | 50 | |
| 4 | 2017 | 47 | |
| 5 | 2022 | 22 |
About Marlene Dallmayer
Marlene Dallmayer is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 5 papers that have together received 302 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), DNA Repair Mechanisms (1 paper), Cardiac tumors and thrombi (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Genetic factors in colorectal cancer (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Cancer Research (51 citations), Molecular Biology (188 citations), Pulmonary and Respiratory Medicine (69 citations), Cell Biology (30 citations) and Oncology (44 citations). Marlene Dallmayer has collaborated with scholars based in Germany, Switzerland and Türkiye. Frequent co-authors include Thomas G. P. Grünewald, Julian Musa, Thomas Kirchner, Michaela C. Baldauf, Martin F. Orth, Catia Lo Pardo, Barak Rotblat, Gabriel Leprivier, Jing Li and Heymut Omran. Their work appears in journals such as Trends in cancer, American Journal of Medical Genetics Part C Seminars in Medical Genetics, Cell Death and Disease, Oncotarget and Oncogene.
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.