Jens Schittenhelm
Impact in
Papers in
- Co-authors
- Richard MeyermannMarco SkardellyGhazaleh TabatabaiDavid CapperMarcos TatagibaFelix BehlingMichel MittelbronnAndreas von Deimling
- Journals
- Neuropathology and Applied Neurobiology (12 papers)Acta Neuropathologica (8 papers)Neuro-Oncology (7 papers)Journal of Cancer Research and Clinical Oncology (7 papers)Neurosurgical Review (7 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Jens Schittenhelm
182 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 116
- Genetics 2.4k
- Neurology 905
- Physiology 221
- Radiology, Nuclear Medicine and Imaging 1.0k
- Cancer Research 662
Countries citing papers authored by Jens Schittenhelm
This map shows the geographic impact of Jens Schittenhelm'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 Jens Schittenhelm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Schittenhelm more than expected).
Fields of papers citing papers by Jens Schittenhelm
This network shows the impact of papers produced by Jens Schittenhelm. 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 Jens Schittenhelm. The network helps show where Jens Schittenhelm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jens Schittenhelm, 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 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 10 | |
| 8 | 2019 | 18 | |
| 9 | 2016 | 34 | |
| 10 | 2016 | 56 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 6 | |
| 13 | Comparing the expression of integrins alpha v beta 3, alpha v beta 5, alpha v beta 6, alpha v beta 8, fibronectin and fibrinogen in human brain metastases and their corresponding primary tumors | 2013 | 14 |
| 14 | 2013 | 15 | |
| 15 | Longitudinal Expression Analysis of alpha v Integrins in Human Gliomas Reveals Upregulation of Integrin alpha v beta 3 as a Negative Prognostic Factor | 2013 | 1 |
| 16 | 2010 | 99 | |
| 17 | 2010 | 5 | |
| 18 | 2010 | 98 | |
| 19 | 2008 | 1 | |
| 20 | 2008 | 30 |
About Jens Schittenhelm
Jens Schittenhelm is a scholar working on Genetics, Neurology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 190 papers that have together received 4.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (86 papers), Meningioma and schwannoma management (43 papers), Neurofibromatosis and Schwannoma Cases (30 papers), Brain Metastases and Treatment (24 papers), MRI in cancer diagnosis (16 papers), Pituitary Gland Disorders and Treatments (14 papers), Chromatin Remodeling and Cancer (11 papers) and Neuroblastoma Research and Treatments (11 papers). The work is most often cited by research in Genetics (2.4k citations), Neurology (905 citations), Physiology (221 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Cancer Research (662 citations). Jens Schittenhelm has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Richard Meyermann, Marco Skardelly, Ghazaleh Tabatabai, David Capper, Marcos Tatagiba, Felix Behling, Michel Mittelbronn, Andreas von Deimling, Ulrike Ernemann and Rudi Beschorner. Their work appears in journals such as Neuropathology and Applied Neurobiology, Acta Neuropathologica, Neuro-Oncology, Journal of Cancer Research and Clinical Oncology and Neurosurgical Review.
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.