Stephen Daw
Impact in
-
- Lymphoma Diagnosis and Treatment
- Neurology top 5%
- CNS Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 34
- Oncology 14
- Viral-associated cancers and disorders 7
- CAR-T cell therapy research 5
- Co-authors
- Ananth Shankar (12 shared papers)Paul Humphries (8 shared papers)Shonit Punwani (7 shared papers)Stuart A. Taylor (6 shared papers)Alan Bainbridge (4 shared papers)Michael J. Dillon (1 shared paper)Moin A. Saleem (1 shared paper)Russell C. Dale (1 shared paper)
- Journals
- Blood (8 papers)British Journal of Haematology (5 papers)HemaSphere (3 papers)Journal of Clinical Oncology (3 papers)Hematological Oncology (3 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Stephen Daw
38 papers receiving 659 citations
Peers
Comparison fields: 5 of 55
- Pathology and Forensic Medicine 408
- Neurology 195
- Radiology, Nuclear Medicine and Imaging 218
- Oncology 220
- Genetics 64
Countries citing papers authored by Stephen Daw
This map shows the geographic impact of Stephen Daw'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 Daw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Daw more than expected).
Fields of papers citing papers by Stephen Daw
This network shows the impact of papers produced by Stephen Daw. 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 Daw. The network helps show where Stephen Daw may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Daw, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 94 | |
| 2 | 2018 | 65 | |
| 3 | 2012 | 65 | |
| 4 | 2000 | 56 | |
| 5 | 2011 | 45 | |
| 6 | 2011 | 35 | |
| 7 | 2020 | 33 | |
| 8 | 2007 | 31 | |
| 9 | 2018 | 31 | |
| 10 | 2010 | 30 | |
| 11 | 2019 | 28 | |
| 12 | 2012 | 25 | |
| 13 | 2022 | 17 | |
| 14 | 2013 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2018 | 11 | |
| 18 | 2020 | 8 | |
| 19 | 2013 | 7 | |
| 20 | 2006 | 6 |
About Stephen Daw
Stephen Daw is a scholar working on Pathology and Forensic Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 670 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (34 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), Lung Cancer Treatments and Mutations (9 papers), Viral-associated cancers and disorders (7 papers), CAR-T cell therapy research (5 papers), MRI in cancer diagnosis (5 papers), Medical Imaging Techniques and Applications (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (408 citations), Neurology (195 citations), Radiology, Nuclear Medicine and Imaging (218 citations), Oncology (220 citations) and Genetics (64 citations). Stephen Daw has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Ananth Shankar, Paul Humphries, Shonit Punwani, Stuart A. Taylor, Alan Bainbridge, Michael J. Dillon, Moin A. Saleem, Russell C. Dale, Sharon F. Hain and Vineet Prakash. Their work appears in journals such as Blood, British Journal of Haematology, HemaSphere, Journal of Clinical Oncology and Hematological 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.