Daniel Royston
Impact in
- Immunology top 10%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Oncology top 10%
- Lymphatic System and Diseases
- Cancer Immunotherapy and Biomarkers
Papers in
- Hematology 18
- Acute Myeloid Leukemia Research 11
- Multiple Myeloma Research and Treatments 6
- Genetics 13
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Co-authors
- David G. Jackson (3 shared papers)Olivier Boulard (2 shared papers)Stefanie Kirchberger (2 shared papers)Fiona Powrie (2 shared papers)Rose L. Szabady (1 shared paper)Oliver J. Harrison (1 shared paper)Fanny Franchini (1 shared paper)Emily Thornton (1 shared paper)
- Journals
- Blood (6 papers)British Journal of Haematology (4 papers)The Journal of Experimental Medicine (2 papers)Leukemia (2 papers)Nature Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Daniel Royston
28 papers receiving 871 citations
Daniel Royston's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 380
- Oncology 334
- Hematology 125
- Genetics 96
- Surgery 236
Countries citing papers authored by Daniel Royston
This map shows the geographic impact of Daniel Royston'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 Daniel Royston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Royston more than expected).
Fields of papers citing papers by Daniel Royston
This network shows the impact of papers produced by Daniel Royston. 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 Daniel Royston. The network helps show where Daniel Royston may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Royston, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Innate lymphoid cells sustain colon cancer through production of interleukin-22 in a mouse model Hit paper breakdown → | 2013 | 412 |
| 2 | 2009 | 102 | |
| 3 | 2008 | 90 | |
| 4 | 2020 | 56 | |
| 5 | 2012 | 39 | |
| 6 | 2022 | 33 | |
| 7 | 2020 | 29 | |
| 8 | 2016 | 26 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2023 | 8 | |
| 13 | Outcomes of patients presenting to a dedicated rapid access lung cancer clinic. | 2011 | 6 |
| 14 | 2016 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2010 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Daniel Royston
Daniel Royston is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Rheumatology, having authored 33 papers that have together received 884 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Acute Myeloid Leukemia Research (11 papers), Eosinophilic Disorders and Syndromes (6 papers), Multiple Myeloma Research and Treatments (6 papers), Kruppel-like factors research (5 papers), Lymphatic System and Diseases (3 papers), Digital Imaging for Blood Diseases (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Immunology (380 citations), Oncology (334 citations), Hematology (125 citations), Genetics (96 citations) and Surgery (236 citations). Daniel Royston has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include David G. Jackson, Olivier Boulard, Stefanie Kirchberger, Fiona Powrie, Rose L. Szabady, Oliver J. Harrison, Fanny Franchini, Emily Thornton, Steven Clasper and Dietmar Vestweber. Their work appears in journals such as Blood, British Journal of Haematology, The Journal of Experimental Medicine, Leukemia and Nature Medicine.
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.