Stephen Schey
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 43
- Hematopoietic Stem Cell Transplantation 7
- Oncology top 5%
- Cancer Treatment and Pharmacology 19
- Peptidase Inhibition and Analysis 6
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 7
- Transplantation top 10%
- Pathology and Forensic Medicine top 10%
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- Protein Degradation and Inhibitors 7
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- Testicular diseases and treatments 6
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- Pharmacological Effects and Toxicity Studies 5
- Co-authors
- Richard J. SiegertPolly EdmondsIrene J HigginsonChristina RamsenthalerMatthew StreetlyThomas OsborneWei GaoPaul Fields
- Cited by
- HematologyOncologyGenetics
- Journals
- Blood (18 papers)British Journal of Haematology (10 papers)European Journal Of Haematology (4 papers)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Stephen Schey
70 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Hematology 1.1k
- Oncology 894
- Genetics 218
- Transplantation 31
- Pathology and Forensic Medicine 184
Countries citing papers authored by Stephen Schey
This map shows the geographic impact of Stephen Schey'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 Schey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Schey more than expected).
Fields of papers citing papers by Stephen Schey
This network shows the impact of papers produced by Stephen Schey. 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 Schey. The network helps show where Stephen Schey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Schey, 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 | 2021 | 14 | |
| 2 | 2015 | 35 | |
| 3 | 2015 | 35 | |
| 4 | 2014 | 63 | |
| 5 | 2012 | 5 | |
| 6 | 2011 | 3 | |
| 7 | 2011 | 25 | |
| 8 | 2010 | 47 | |
| 9 | 2010 | 24 | |
| 10 | 2006 | 8 | |
| 11 | 2004 | 37 | |
| 12 | Changes in neutrophil phenotype following the administration of CC-4047 (Actimid) to patients with multiple myeloma. | 2003 | 1 |
| 13 | 2003 | 52 | |
| 14 | Diffuse large B cell lymphoma: Characterisation of immunohistochemical and interim PET scan analysis and correlation with outcome. | 2003 | 1 |
| 15 | 2002 | 2 | |
| 16 | 2001 | 2 | |
| 17 | 1999 | 6 | |
| 18 | 1997 | 26 | |
| 19 | 1997 | 6 | |
| 20 | 1996 | 19 |
About Stephen Schey
Stephen Schey is a scholar working on Hematology, Oncology and Genetics, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (43 papers), Cancer Treatment and Pharmacology (19 papers), Chronic Lymphocytic Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Protein Degradation and Inhibitors (7 papers), Peptidase Inhibition and Analysis (6 papers), Testicular diseases and treatments (6 papers) and Pharmacological Effects and Toxicity Studies (5 papers). The work is most often cited by research in Hematology (1.1k citations), Oncology (894 citations) and Genetics (218 citations). Stephen Schey has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Richard J. Siegert, Polly Edmonds, Irene J Higginson, Christina Ramsenthaler, Matthew Streetly, Thomas Osborne, Wei Gao, Paul Fields, J. Blake Bartlett and Ian Clarke. Their work appears in journals such as Blood, British Journal of Haematology, European Journal Of Haematology, BMC Cancer and Leukemia.
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.