Daniel J. Schramek
Impact in
- Aging top 2%
- Cancer Research top 2%
Papers in
- Oncology 24
- Cancer-related Molecular Pathways 9
- Bone health and treatments 5
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- CRISPR and Genetic Engineering 11
- Ubiquitin and proteasome pathways 5
- Epigenetics and DNA Methylation 5
- Single-cell and spatial transcriptomics 4
- Co-authors
- Josef Martin Penninger (13 shared papers)Verena Sigl (4 shared papers)Elaine V. Fuchs (3 shared papers)Reiko Hanada (2 shared papers)John Andrew Pospisilik (3 shared papers)Ataman Sendoel (3 shared papers)Andreas Leibbrandt (2 shared papers)Roger J. Daly (6 shared papers)
- Journals
- Nature Communications (7 papers)Cell (6 papers)Science (5 papers)Nature (5 papers)Cell Reports (4 papers)
- Partner nations
- CanadaUnited StatesAustria
In The Last Decade
Daniel J. Schramek
74 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 130
- Aging 116
- Cancer Research 809
- Oncology 1.3k
- Molecular Biology 2.9k
- Immunology 683
Countries citing papers authored by Daniel J. Schramek
This map shows the geographic impact of Daniel J. 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 J. 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 J. Schramek more than expected).
Fields of papers citing papers by Daniel J. Schramek
This network shows the impact of papers produced by Daniel J. 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 J. Schramek. The network helps show where Daniel J. Schramek may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 471 | |
| 2 | 2014 | 375 | |
| 3 | 2010 | 308 | |
| 4 | 2009 | 262 | |
| 5 | 2017 | 252 | |
| 6 | 2010 | 252 | |
| 7 | 2014 | 219 | |
| 8 | 2020 | 210 | |
| 9 | 2020 | 204 | |
| 10 | 2011 | 198 | |
| 11 | 2018 | 167 | |
| 12 | 2016 | 134 | |
| 13 | 2021 | 127 | |
| 14 | 2015 | 124 | |
| 15 | 2011 | 118 | |
| 16 | 2020 | 109 | |
| 17 | 2005 | 104 | |
| 18 | 2018 | 103 | |
| 19 | 2017 | 94 | |
| 20 | 2022 | 91 |
About Daniel J. Schramek
Daniel J. Schramek is a scholar working on Oncology, Molecular Biology, Cancer Research, Genetics and Immunology, having authored 77 papers that have together received 5.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Cancer-related Molecular Pathways (9 papers), Glioma Diagnosis and Treatment (6 papers), Bone health and treatments (5 papers), Ubiquitin and proteasome pathways (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer Genomics and Diagnostics (4 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Aging (116 citations), Cancer Research (809 citations), Oncology (1.3k citations), Molecular Biology (2.9k citations) and Immunology (683 citations). Daniel J. Schramek has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Josef Martin Penninger, Verena Sigl, Elaine V. Fuchs, Reiko Hanada, John Andrew Pospisilik, Ataman Sendoel, Andreas Leibbrandt, Roger J. Daly, Christopher John Ormandy and Purna A. Joshi. Their work appears in journals such as Nature Communications, Cell, Science, Nature and Cell Reports.
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.