Mirjam Blattner
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer Genomics and Diagnostics
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Sarcoma Diagnosis and Treatment
Papers in
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- Prostate Cancer Treatment and Research 12
- Prostate Cancer Diagnosis and Treatment 4
- Co-authors
- Mark Andrew Rubin (10 shared papers)Christopher E. Barbieri (9 shared papers)Brian D. Robinson (6 shared papers)Andrea Sboner (7 shared papers)Deli Liu (6 shared papers)Dennis Huang (5 shared papers)Lesa Dayal Deonarine (5 shared papers)Francesca Demichelis (3 shared papers)
- Journals
- Cancer Cell (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)Science (1 paper)eLife (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Mirjam Blattner
19 papers receiving 2.1k citations
Mirjam Blattner's Hit Papers
Peers
Comparison fields: 5 of 70
- Cancer Research 531
- Pulmonary and Respiratory Medicine 1000
- Molecular Biology 1.1k
- Oncology 332
- Hematology 76
Countries citing papers authored by Mirjam Blattner
This map shows the geographic impact of Mirjam Blattner'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 Mirjam Blattner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirjam Blattner more than expected).
Fields of papers citing papers by Mirjam Blattner
This network shows the impact of papers produced by Mirjam Blattner. 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 Mirjam Blattner. The network helps show where Mirjam Blattner may publish in the future.
Co-authors
The 25 scholars most cited alongside Mirjam Blattner, 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 | Sarcoma classification by DNA methylation profiling Hit paper breakdown → | 2021 | 388 |
| 2 | 2017 | 280 | |
| 3 | 2013 | 206 | |
| 4 | 2014 | 193 | |
| 5 | 2017 | 160 | |
| 6 | 2015 | 159 | |
| 7 | 2014 | 132 | |
| 8 | 2014 | 131 | |
| 9 | 2019 | 103 | |
| 10 | 2012 | 90 | |
| 11 | 2014 | 84 | |
| 12 | 2018 | 48 | |
| 13 | 2021 | 30 | |
| 14 | 2019 | 28 | |
| 15 | 2017 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2016 | 15 | |
| 18 | 2015 | 4 | |
| 19 | 2020 | 1 |
About Mirjam Blattner
Mirjam Blattner is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Hematology and Oncology, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Ubiquitin and proteasome pathways (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (2 papers), Protein Degradation and Inhibitors (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (531 citations), Pulmonary and Respiratory Medicine (1000 citations), Molecular Biology (1.1k citations), Oncology (332 citations) and Hematology (76 citations). Mirjam Blattner has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Mark Andrew Rubin, Christopher E. Barbieri, Brian D. Robinson, Andrea Sboner, Deli Liu, Dennis Huang, Lesa Dayal Deonarine, Francesca Demichelis, Yu Chen and Pengbo Zhou. Their work appears in journals such as Cancer Cell, Nature Communications, Cell Reports, Science and eLife.
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.