Daniel Royston

1.4k total citations · 1 hit paper
33 papers, 884 citations indexed

About

Daniel Royston is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Daniel Royston has authored 33 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 13 papers in Genetics and 12 papers in Molecular Biology. Recurrent topics in Daniel Royston's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Acute Myeloid Leukemia Research (11 papers) and Multiple Myeloma Research and Treatments (6 papers). Daniel Royston is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Acute Myeloid Leukemia Research (11 papers) and Multiple Myeloma Research and Treatments (6 papers). Daniel Royston collaborates with scholars based in United Kingdom, United States and Switzerland. Daniel Royston's co-authors include David G. Jackson, Olivier Boulard, Stefanie Kirchberger, Fiona Powrie, Rose L. Szabady, Oliver J. Harrison, Emily Thornton, Fanny Franchini, Steven Clasper and Stefan Butz and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Blood.

In The Last Decade

Daniel Royston

28 papers receiving 871 citations

Hit Papers

Innate lymphoid cells sustain colon cancer through produc... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Royston United Kingdom 11 380 334 248 236 125 33 884
Adam Mor United States 16 421 1.1× 423 1.3× 263 1.1× 98 0.4× 51 0.4× 45 929
Edward L. Briercheck United States 11 527 1.4× 206 0.6× 241 1.0× 131 0.6× 274 2.2× 16 874
Axel Denz Germany 15 608 1.6× 216 0.6× 218 0.9× 117 0.5× 89 0.7× 42 1.0k
Markus Müschen United States 13 312 0.8× 195 0.6× 400 1.6× 60 0.3× 171 1.4× 20 884
Jens Schreiner Germany 15 535 1.4× 649 1.9× 204 0.8× 146 0.6× 38 0.3× 22 1.2k
Cordelia E. Sever United States 13 181 0.5× 182 0.5× 198 0.8× 78 0.3× 130 1.0× 17 575
Chung-Che Chang United States 18 236 0.6× 529 1.6× 231 0.9× 57 0.2× 139 1.1× 49 1.0k
Robby E. Kibbelaar Netherlands 15 177 0.5× 390 1.2× 195 0.8× 81 0.3× 121 1.0× 49 947
Suthee Rapisuwon United States 11 246 0.6× 683 2.0× 329 1.3× 57 0.2× 43 0.3× 30 997
Julie Delyon France 17 301 0.8× 649 1.9× 273 1.1× 57 0.2× 42 0.3× 59 985

Countries citing papers authored by Daniel Royston

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Royston

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Royston. A scholar is included among the top collaborators of Daniel Royston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Royston. Daniel Royston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Thomas, Emily, et al.. (2025). Entering the era of spatial transcriptomics: opportunities and challenges for pathology. Diagnostic histopathology. 31(5). 257–266. 1 indexed citations
2.
Thomas, Emily, Ka Ho Tam, Ruoyu Wang, et al.. (2025). Reticulin‐Free Quantitation of Bone Marrow Fibrosis in MPNs: Utility and Applications. eJHaem. 6(2). e70005–e70005.
4.
Cooper, Rosalin, et al.. (2024). Spatial transcriptomic approaches for characterising the bone marrow landscape: pitfalls and potential. Leukemia. 39(2). 291–295. 4 indexed citations
5.
Godfrey, Anna L., Nikolaos Sousos, Rebecca Frewin, et al.. (2024). Clinical utility of investigations in triple‐negative thrombocytosis: A real‐world, multicentre evaluation of UK practice. British Journal of Haematology. 205(4). 1411–1416. 1 indexed citations
6.
Sirinukunwattana, Korsuk, et al.. (2024). MPN-641 Quantitative CD34+ Blast Cell Enumeration Using AI: Improving BMT Assessment in Myeloproliferative Neoplasms. Clinical Lymphoma Myeloma & Leukemia. 24. S441–S441. 1 indexed citations
7.
Lomas, Oliver, et al.. (2023). Quantitative interpretation of bone marrow biopsies in MPN—What's the point in a molecular age?. British Journal of Haematology. 203(4). 523–535. 8 indexed citations
8.
Qureishi, Ali, et al.. (2023). Nasopharyngeal myeloid sarcoma as a manifestation of acute monomyelocytic leukaemia. BMJ Case Reports. 16(12). e251681–e251681.
9.
Gooding, Sarah, Naser Ansari‐Pour, Kübra Karagoz, et al.. (2022). Loss of COP9 signalosome genes at 2q37 is associated with IMiD resistance in multiple myeloma. Blood. 140(16). 1816–1821. 13 indexed citations
10.
Sousos, Nikolaos, Máire Ní Leathlobhair, Christina Simoglou Karali, et al.. (2022). In utero origin of myelofibrosis presenting in adult monozygotic twins. Nature Medicine. 28(6). 1207–1211. 33 indexed citations
11.
Sirinukunwattana, Korsuk, Helen M. Byrne, Heather A. Harrington, et al.. (2022). Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients. Leukemia. 37(2). 348–358. 19 indexed citations
12.
Lomas, Oliver, Matthew Streetly, Guy Pratt, et al.. (2021). The management of Castleman disease. British Journal of Haematology. 195(3). 328–337. 14 indexed citations
14.
Colling, Richard, Daniel Royston, & Elizabeth J. Soilleux. (2016). Transformation of CLL to ALCL: the role of clonality studies in diagnostic molecular haematopathology. Journal of Hematopathology. 9(3). 143–147. 5 indexed citations
15.
Royston, Daniel, Steven Clasper, & David G. Jackson. (2016). Immunohistochemical Methods for Measuring Tissue Lymphangiogenesis. Methods in molecular biology. 1430. 35–48. 2 indexed citations
16.
Royston, Daniel, Qi Gao, Nghia D. Nguyen, et al.. (2016). Single-Tube 10-Fluorochrome Analysis for Efficient Flow Cytometric Evaluation of Minimal Residual Disease in Plasma Cell Myeloma. American Journal of Clinical Pathology. 146(1). 41–49. 26 indexed citations
17.
Kirchberger, Stefanie, Daniel Royston, Olivier Boulard, et al.. (2013). Innate lymphoid cells sustain colon cancer through production of interleukin-22 in a mouse model. The Journal of Experimental Medicine. 210(5). 917–931. 412 indexed citations breakdown →
18.
Royston, Daniel & Bryan F. Warren. (2010). Are we reporting ileal pouch biopsies correctly?. Colorectal Disease. 13(11). 1285–1289. 3 indexed citations
19.
Royston, Daniel & David G. Jackson. (2009). Mechanisms of lymphatic metastasis in human colorectal adenocarcinoma. The Journal of Pathology. 217(5). 608–619. 102 indexed citations
20.
Clasper, Steven, Daniel Royston, Dilair Baban, et al.. (2008). A Novel Gene Expression Profile in Lymphatics Associated with Tumor Growth and Nodal Metastasis. Cancer Research. 68(18). 7293–7303. 90 indexed citations

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.

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