Gabriele Schackert
Impact in
- Genetics top 0.05%
- Glioma Diagnosis and Treatment
- Biophysics top 0.1%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
- Genetics 102
- Glioma Diagnosis and Treatment 102
- Biophysics 50
- Spectroscopy Techniques in Biomedical and Chemical Research 49
- Co-authors
- Dietmar KrexMatthias KirschStephan B. SobottkaMichael WellerGuido ReifenbergerTorsten PietschMatthias SimonReiner Salzer
- Journals
- Journal of Neuro-Oncology (21 papers)Acta Neurochirurgica (16 papers)Journal of Clinical Oncology (15 papers)Neuro-Oncology (14 papers)Neurosurgery (10 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Gabriele Schackert
326 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Genetics 4.7k
- Biophysics 1.4k
- Cancer Research 2.1k
- Neurology 1.8k
- Analytical Chemistry 795
Countries citing papers authored by Gabriele Schackert
This map shows the geographic impact of Gabriele Schackert'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 Gabriele Schackert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Schackert more than expected).
Fields of papers citing papers by Gabriele Schackert
This network shows the impact of papers produced by Gabriele Schackert. 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 Gabriele Schackert. The network helps show where Gabriele Schackert may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriele Schackert, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 19 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 24 | |
| 9 | 2018 | 72 | |
| 10 | 2018 | 59 | |
| 11 | 2018 | 40 | |
| 12 | 2017 | 27 | |
| 13 | 2013 | 173 | |
| 14 | 2013 | 138 | |
| 15 | 2011 | 369 | |
| 16 | 2009 | 476 | |
| 17 | 2008 | 44 | |
| 18 | Pathobiology of human cerebrovascular malformations: Comments | 2004 | 1 |
| 19 | 2004 | 17 | |
| 20 | The putative tumor suppressor gene FHIT at 3p14.2 is rarely affected by loss of heterozygosity in primary human brain tumors. | 1997 | 12 |
About Gabriele Schackert
Gabriele Schackert is a scholar working on Genetics, Biophysics, Neurology, Cancer Research and Analytical Chemistry, having authored 343 papers that have together received 12.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (102 papers), Spectroscopy Techniques in Biomedical and Chemical Research (49 papers), Brain Metastases and Treatment (38 papers), Spectroscopy and Chemometric Analyses (27 papers), Meningioma and schwannoma management (22 papers), Cancer Genomics and Diagnostics (22 papers), Optical Imaging and Spectroscopy Techniques (20 papers) and Photoacoustic and Ultrasonic Imaging (19 papers). The work is most often cited by research in Genetics (4.7k citations), Biophysics (1.4k citations), Cancer Research (2.1k citations), Neurology (1.8k citations) and Analytical Chemistry (795 citations). Gabriele Schackert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dietmar Krex, Matthias Kirsch, Stephan B. Sobottka, Michael Weller, Guido Reifenberger, Torsten Pietsch, Matthias Simon, Reiner Salzer, Manfred Westphal and Christoph Krafft. Their work appears in journals such as Journal of Neuro-Oncology, Acta Neurochirurgica, Journal of Clinical Oncology, Neuro-Oncology and Neurosurgery.
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.