Ute Pohl
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 19
- Glioma Diagnosis and Treatment 17
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
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- RNA Research and Splicing 2
- Co-authors
- David N. Louis (5 shared papers)Andreas von Deimling (3 shared papers)Pablo Tamayo (1 shared paper)Christian Hartmann (1 shared paper)Peter M. Black (1 shared paper)J. Gregory Cairncross (1 shared paper)Scott L. Pomeroy (1 shared paper)Rebecca A. Betensky (1 shared paper)
- Journals
- Genomics (2 papers)Genes Chromosomes and Cancer (2 papers)World Neurosurgery (1 paper)Clinical Radiology (1 paper)Methods of Information in Medicine (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Ute Pohl
31 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Genetics 463
- Issues, ethics and legal aspects 50
- Health Information Management 90
- Cancer Research 288
- Molecular Biology 808
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Hit paper breakdown → | 2003 | 719 |
| 2 | 2000 | 109 | |
| 3 | 2001 | 95 | |
| 4 | 2000 | 80 | |
| 5 | 2000 | 73 | |
| 6 | 2020 | 61 | |
| 7 | 2021 | 51 | |
| 8 | 2003 | 42 | |
| 9 | 1999 | 37 | |
| 10 | 2007 | 31 | |
| 11 | 2000 | 26 | |
| 12 | 1999 | 23 | |
| 13 | 2006 | 21 | |
| 14 | 2008 | 19 | |
| 15 | 1999 | 18 | |
| 16 | 2020 | 15 | |
| 17 | 1999 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 1999 | 11 | |
| 20 | 2010 | 10 |
About Ute Pohl
Ute Pohl is a scholar working on Genetics, Molecular Biology, Neurology, Cellular and Molecular Neuroscience and Surgery, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Meningioma and schwannoma management (3 papers), Nerve injury and regeneration (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Electronic Health Records Systems (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers), RNA Research and Splicing (2 papers) and Nerve Injury and Rehabilitation (2 papers). The work is most often cited by research in Genetics (463 citations), Issues, ethics and legal aspects (50 citations), Health Information Management (90 citations), Cancer Research (288 citations) and Molecular Biology (808 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, Pablo Tamayo, Christian Hartmann, Peter M. Black, J. Gregory Cairncross, Scott L. Pomeroy, Rebecca A. Betensky, Todd R. Golub and Tracy T. Batchelor. Their work appears in journals such as Genomics, Genes Chromosomes and Cancer, World Neurosurgery, Clinical Radiology and Methods of Information in Medicine.
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.