David Capper
Impact in
- Genetics top 0.01%
- Glioma Diagnosis and Treatment
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 200
- Glioma Diagnosis and Treatment 197
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- Cancer Genomics and Diagnostics 29
- MicroRNA in disease regulation 22
- Co-authors
- Andreas von Deimling (99 shared papers)Pieter Wesseling (12 shared papers)Christian Johannes Hartmann (22 shared papers)Wolfgang Wick (23 shared papers)Stefan M. Pfister (38 shared papers)Christel C. Herold‐Mende (20 shared papers)Michael Weller (22 shared papers)Jochen Meyer (13 shared papers)
- Journals
- Acta Neuropathologica (66 papers)Neuro-Oncology (43 papers)Brain Pathology (23 papers)Neuropathology and Applied Neurobiology (19 papers)Journal of Neuro-Oncology (12 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
David Capper
348 papers receiving 33.0k citations
David Capper's Hit Papers
Peers
Comparison fields: 5 of 168
- Genetics 17.1k
- Cancer Research 6.2k
- Neurology 5.1k
- Molecular Biology 11.3k
- Oncology 4.1k
Countries citing papers authored by David Capper
This map shows the geographic impact of David Capper'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 David Capper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Capper more than expected).
Fields of papers citing papers by David Capper
This network shows the impact of papers produced by David Capper. 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 David Capper. The network helps show where David Capper may publish in the future.
Co-authors
The 25 scholars most cited alongside David Capper, 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 364 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 | 2183 |
| 2 | A complex secretory program orchestrated by the inflammasome controls paracrine senescence Hit paper breakdown → | 2013 | 1818 |
| 3 | Type and frequency of IDH1 and IDH2 mutations are related to astrocytic and oligodendroglial differentiation and age: a study of 1,010 diffuse gliomas Hit paper breakdown → | 2009 | 991 |
| 4 | Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups Hit paper breakdown → | 2015 | 899 |
| 5 | Analysis of BRAF V600E mutation in 1,320 nervous system tumors reveals high mutation frequencies in pleomorphic xanthoastrocytoma, ganglioglioma and extra-cerebellar pilocytic astrocytoma Hit paper breakdown → | 2011 | 848 |
| 6 | The whole-genome landscape of medulloblastoma subtypes Hit paper breakdown → | 2017 | 840 |
| 7 | Actively personalized vaccination trial for newly diagnosed glioblastoma Hit paper breakdown → | 2018 | 764 |
| 8 | New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs Hit paper breakdown → | 2016 | 716 |
| 9 | Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas Hit paper breakdown → | 2010 | 690 |
| 10 | DNA methylation-based classification and grading system for meningioma: a multicentre, retrospective analysis Hit paper breakdown → | 2017 | 649 |
| 11 | WHO 2016 Classification of gliomas Hit paper breakdown → | 2017 | 619 |
| 12 | 2009 | 453 | |
| 13 | Atypical Teratoid/Rhabdoid Tumors Are Comprised of Three Epigenetic Subgroups with Distinct Enhancer Landscapes Hit paper breakdown → | 2016 | 441 |
| 14 | 2011 | 414 | |
| 15 | Practical implementation of DNA methylation and copy-number-based CNS tumor diagnostics: the Heidelberg experience Hit paper breakdown → | 2018 | 413 |
| 16 | Temozolomide chemotherapy versus radiotherapy in high-risk low-grade glioma (EORTC 22033-26033): a randomised, open-label, phase 3 intergroup study Hit paper breakdown → | 2016 | 403 |
| 17 | cIMPACT‐NOW update 6: new entity and diagnostic principle recommendations of the cIMPACT‐Utrecht meeting on future CNS tumor classification and grading Hit paper breakdown → | 2020 | 390 |
| 18 | Sarcoma classification by DNA methylation profiling Hit paper breakdown → | 2021 | 388 |
| 19 | 2014 | 365 | |
| 20 | 2009 | 362 |
About David Capper
David Capper is a scholar working on Genetics, Cancer Research, Neurology, Molecular Biology and Oncology, having authored 364 papers that have together received 33.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (197 papers), Meningioma and schwannoma management (39 papers), Chromatin Remodeling and Cancer (34 papers), Epigenetics and DNA Methylation (32 papers), Neuroblastoma Research and Treatments (30 papers), Cancer Genomics and Diagnostics (29 papers), Brain Metastases and Treatment (24 papers) and MicroRNA in disease regulation (22 papers). The work is most often cited by research in Genetics (17.1k citations), Cancer Research (6.2k citations), Neurology (5.1k citations), Molecular Biology (11.3k citations) and Oncology (4.1k citations). David Capper has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andreas von Deimling, Pieter Wesseling, Christian Johannes Hartmann, Wolfgang Wick, Stefan M. Pfister, Christel C. Herold‐Mende, Michael Weller, Jochen Meyer, Guido Reifenberger and Felix Sahm. Their work appears in journals such as Acta Neuropathologica, Neuro-Oncology, Brain Pathology, Neuropathology and Applied Neurobiology and Journal of Neuro-Oncology.
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.