Daniel Rohle
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
Papers in
-
- Histone Deacetylase Inhibitors Research 2
- RNA Research and Splicing 1
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Protein Degradation and Inhibitors 1
- Melanoma and MAPK Pathways 1
- Genetics 2
- Glioma Diagnosis and Treatment 2
- Co-authors
- Ingo K. Mellinghoff (3 shared papers)Carl Campos (3 shared papers)Craig B. Thompson (2 shared papers)Armida W. M. Fabius (1 shared paper)Emrullah Yilmaz (1 shared paper)Logan A. Walsh (1 shared paper)Chao Lü (1 shared paper)Patrick S. Ward (1 shared paper)
- Journals
- Life Science Alliance (1 paper)Science Translational Medicine (1 paper)Nature Communications (1 paper)Cancer Research (1 paper)Nature (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Daniel Rohle
5 papers receiving 1.7k citations
Daniel Rohle's Hit Papers
Peers
Comparison fields: 5 of 81
- Genetics 787
- Cancer Research 758
- Molecular Biology 926
- Structural Biology 13
- Biochemistry 50
Countries citing papers authored by Daniel Rohle
This map shows the geographic impact of Daniel Rohle'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 Rohle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rohle more than expected).
Fields of papers citing papers by Daniel Rohle
This network shows the impact of papers produced by Daniel Rohle. 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 Rohle. The network helps show where Daniel Rohle may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Rohle, 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 | IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype Hit paper breakdown → | 2012 | 1404 |
| 2 | 2015 | 248 | |
| 3 | 2017 | 24 | |
| 4 | 2022 | 8 | |
| 5 | 2019 | 1 | |
| 6 | 2026 | 0 |
About Daniel Rohle
Daniel Rohle is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Hematology, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (2 papers), Glioma Diagnosis and Treatment (2 papers), RNA Research and Splicing (1 paper), DNA Repair Mechanisms (1 paper), Cancer-related Molecular Pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Protein Degradation and Inhibitors (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Genetics (787 citations), Cancer Research (758 citations), Molecular Biology (926 citations), Structural Biology (13 citations) and Biochemistry (50 citations). Daniel Rohle has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Ingo K. Mellinghoff, Carl Campos, Craig B. Thompson, Armida W. M. Fabius, Emrullah Yilmaz, Logan A. Walsh, Chao Lü, Patrick S. Ward, Timothy A. Chan and Olga A. Guryanova. Their work appears in journals such as Life Science Alliance, Science Translational Medicine, Nature Communications, Cancer Research and Nature.
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.