Ute Pohl
Impact in
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
- Health Informatics top 5%
Papers in
- Genetics 24
- Glioma Diagnosis and Treatment 22
- Genomic variations and chromosomal abnormalities 2
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- CNS Lymphoma Diagnosis and Treatment 2
- Co-authors
- David N. Louis (4 shared papers)Andreas von Deimling (2 shared papers)Catherine L. Nutt (1 shared paper)Margaret E. McLaughlin (1 shared paper)Pablo Tamayo (1 shared paper)John Gregory Cairncross (1 shared paper)Tracy T. Batchelor (1 shared paper)Peter McL. Black (1 shared paper)
- Journals
- Acta Neuropathologica (3 papers)Genomics (2 papers)Neuro-Oncology (2 papers)International Journal of Oncology (1 paper)Clinical Neuropathology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Ute Pohl
40 papers receiving 4.2k citations
Ute Pohl's Hit Papers
Peers
Comparison fields: 5 of 100
- Genetics 2.3k
- Health Informatics 49
- Cancer Research 264
- Molecular Biology 887
- Neurology 128
Countries citing papers authored by Ute Pohl
This map shows the geographic impact of Ute Pohl'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 Ute Pohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Pohl more than expected).
Fields of papers citing papers by Ute Pohl
This network shows the impact of papers produced by Ute Pohl. 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 Ute Pohl. The network helps show where Ute Pohl may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Pohl, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DNA methylation-based classification of central nervous system tumours Hit paper breakdown → | 2018 | 2219 |
| 2 | Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. | 2003 | 786 |
| 3 | 2018 | 239 | |
| 4 | 2000 | 110 | |
| 5 | 2019 | 104 | |
| 6 | 2000 | 81 | |
| 7 | 2000 | 75 | |
| 8 | 2012 | 69 | |
| 9 | 2020 | 68 | |
| 10 | 2021 | 59 | |
| 11 | 2019 | 48 | |
| 12 | 2003 | 43 | |
| 13 | 1999 | 40 | |
| 14 | 2021 | 39 | |
| 15 | 2007 | 34 | |
| 16 | 1999 | 23 | |
| 17 | 2006 | 22 | |
| 18 | 2008 | 19 | |
| 19 | 2022 | 19 | |
| 20 | 1999 | 17 |
About Ute Pohl
Ute Pohl is a scholar working on Genetics, Neurology, Oncology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 44 papers that have together received 4.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (22 papers), Nerve Injury and Rehabilitation (2 papers), Nerve injury and regeneration (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Cancer-related Molecular Pathways (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Cell death mechanisms and regulation (2 papers) and Cancer and Skin Lesions (1 paper). The work is most often cited by research in Genetics (2.3k citations), Health Informatics (49 citations), Cancer Research (264 citations), Molecular Biology (887 citations) and Neurology (128 citations). Ute Pohl has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include David N. Louis, Andreas von Deimling, Catherine L. Nutt, Margaret E. McLaughlin, Pablo Tamayo, John Gregory Cairncross, Tracy T. Batchelor, Peter McL. Black, D.R. Mani and Scott L. Pomeroy. Their work appears in journals such as Acta Neuropathologica, Genomics, Neuro-Oncology, International Journal of Oncology and Clinical Neuropathology.
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.