Daniel Schramek
Impact in
- Oncology top 5%
- Bone health and treatments
- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- Cancer Research top 5%
Papers in
-
- CRISPR and Genetic Engineering 9
- Bone Metabolism and Diseases 5
- Ubiquitin and proteasome pathways 4
- PI3K/AKT/mTOR signaling in cancer 4
- Oncology 17
- Cancer-related Molecular Pathways 5
- Bone health and treatments 4
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Josef Penninger (14 shared papers)Verena Sigl (4 shared papers)Elaine Fuchs (3 shared papers)Reiko Hanada (2 shared papers)J. Andrew Pospisilik (3 shared papers)Ataman Sendoel (3 shared papers)Andreas Leibbrandt (2 shared papers)Roger J. Daly (6 shared papers)
- Journals
- Science (4 papers)Nature (4 papers)Nature Communications (4 papers)Cancer Research (3 papers)Nature Methods (2 papers)
- Partner nations
- CanadaUnited StatesAustria
In The Last Decade
Daniel Schramek
51 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 122
- Oncology 855
- Cancer Research 430
- Aging 51
- Molecular Biology 1.8k
- Immunology 392
Countries citing papers authored by Daniel Schramek
This map shows the geographic impact of Daniel Schramek'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 Daniel Schramek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schramek more than expected).
Fields of papers citing papers by Daniel Schramek
This network shows the impact of papers produced by Daniel Schramek. 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 Daniel Schramek. The network helps show where Daniel Schramek may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schramek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 442 | |
| 2 | 2009 | 259 | |
| 3 | 2017 | 235 | |
| 4 | 2014 | 214 | |
| 5 | 2020 | 206 | |
| 6 | 2020 | 193 | |
| 7 | 2011 | 187 | |
| 8 | 2011 | 117 | |
| 9 | 2005 | 102 | |
| 10 | 2017 | 87 | |
| 11 | 2022 | 81 | |
| 12 | 2013 | 80 | |
| 13 | 2011 | 77 | |
| 14 | 2005 | 71 | |
| 15 | 2015 | 68 | |
| 16 | 2020 | 55 | |
| 17 | 2011 | 48 | |
| 18 | 2008 | 47 | |
| 19 | 2009 | 47 | |
| 20 | 2012 | 43 |
About Daniel Schramek
Daniel Schramek is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 3.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Cancer Genomics and Diagnostics (6 papers), Bone Metabolism and Diseases (5 papers), Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers), Bone health and treatments (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Oncology (855 citations), Cancer Research (430 citations), Aging (51 citations), Molecular Biology (1.8k citations) and Immunology (392 citations). Daniel Schramek has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Josef Penninger, Verena Sigl, Elaine Fuchs, Reiko Hanada, J. Andrew Pospisilik, Ataman Sendoel, Andreas Leibbrandt, Roger J. Daly, Rama Khokha and Christopher J. Ormandy. Their work appears in journals such as Science, Nature, Nature Communications, Cancer Research and Nature Methods.
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.