Stephen Crosier
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
-
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
-
- Single-cell and spatial transcriptomics 2
- Chromatin Remodeling and Cancer 2
- Genetics 6
- Glioma Diagnosis and Treatment 6
- Co-authors
- Daniel Williamson (9 shared papers)Ed C. Schwalbe (9 shared papers)Simon Bailey (9 shared papers)Abhijit Joshi (7 shared papers)Janet C. Lindsey (8 shared papers)Rebecca M. Hill (8 shared papers)Steven C. Clifford (10 shared papers)Debbie Hicks (9 shared papers)
- Journals
- Neuro-Oncology (5 papers)International Journal of Oncology (2 papers)Cell Reports (2 papers)Neuropathology and Applied Neurobiology (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Stephen Crosier
18 papers receiving 668 citations
Stephen Crosier's Hit Papers
Peers
Comparison fields: 5 of 76
- Genetics 335
- Cancer Research 112
- Neurology 105
- Endocrinology 29
- Molecular Biology 360
Countries citing papers authored by Stephen Crosier
This map shows the geographic impact of Stephen Crosier'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 Stephen Crosier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Crosier more than expected).
Fields of papers citing papers by Stephen Crosier
This network shows the impact of papers produced by Stephen Crosier. 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 Stephen Crosier. The network helps show where Stephen Crosier may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Crosier, 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 | Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study Hit paper breakdown → | 2017 | 346 |
| 2 | 2000 | 99 | |
| 3 | 2020 | 51 | |
| 4 | 2016 | 41 | |
| 5 | 2022 | 37 | |
| 6 | 2003 | 33 | |
| 7 | 2024 | 13 | |
| 8 | 2008 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2008 | 7 | |
| 12 | 2010 | 7 | |
| 13 | 2007 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 1 |
About Stephen Crosier
Stephen Crosier is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 673 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Cancer Mechanisms and Therapy (2 papers), Cancer Genomics and Diagnostics (2 papers), Single-cell and spatial transcriptomics (2 papers), Chromatin Remodeling and Cancer (2 papers), interferon and immune responses (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Genetics (335 citations), Cancer Research (112 citations), Neurology (105 citations), Endocrinology (29 citations) and Molecular Biology (360 citations). Stephen Crosier has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Daniel Williamson, Ed C. Schwalbe, Simon Bailey, Abhijit Joshi, Janet C. Lindsey, Rebecca M. Hill, Steven C. Clifford, Debbie Hicks, Thomas S. Jacques and Barry Pizer. Their work appears in journals such as Neuro-Oncology, International Journal of Oncology, Cell Reports, Neuropathology and Applied Neurobiology and Journal of Neurochemistry.
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.