Dino Mašić

712 total citations
10 papers, 428 citations indexed

About

Dino Mašić is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Molecular Biology. According to data from OpenAlex, Dino Mašić has authored 10 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 5 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in Dino Mašić's work include Acute Lymphoblastic Leukemia research (7 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Acute Myeloid Leukemia Research (3 papers). Dino Mašić is often cited by papers focused on Acute Lymphoblastic Leukemia research (7 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Acute Myeloid Leukemia Research (3 papers). Dino Mašić collaborates with scholars based in United Kingdom, Germany and United States. Dino Mašić's co-authors include Lisa J. Russell, Lisa Jones, Christine J. Harrison, Anthony V. Moorman, Claire Schwab, Heather Morrison, Hannah Ensor, Christopher Mitchell, Ajay Vora and Adele K. Fielding and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Haematologica.

In The Last Decade

Dino Mašić

10 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dino Mašić United Kingdom 7 319 274 158 54 40 10 428
Laura Ellis Canada 11 111 0.3× 41 0.1× 96 0.6× 51 0.9× 119 3.0× 17 329
Eva‐Maria König Germany 10 30 0.1× 40 0.1× 19 0.1× 66 1.2× 49 1.2× 15 247
Robin Mueller United States 10 34 0.1× 60 0.2× 30 0.2× 270 5.0× 68 1.7× 14 381
DJ Anstee United Kingdom 9 29 0.1× 357 1.3× 80 0.5× 111 2.1× 6 0.1× 17 557
Kieran O’Neill Canada 14 28 0.1× 48 0.2× 16 0.1× 408 7.6× 25 0.6× 28 576
James C. McAlister United Kingdom 10 127 0.4× 23 0.1× 7 0.0× 73 1.4× 33 0.8× 16 559
Carrie Lin United States 4 26 0.1× 118 0.4× 84 0.5× 327 6.1× 19 0.5× 5 496
Varaporn Thonglairoam Thailand 8 30 0.1× 168 0.6× 84 0.5× 302 5.6× 5 0.1× 9 537
P.K. Schork United States 4 21 0.1× 46 0.2× 12 0.1× 110 2.0× 41 1.0× 9 308
F.M. Almazán-Fernández Spain 9 9 0.0× 71 0.3× 10 0.1× 66 1.2× 87 2.2× 35 306

Countries citing papers authored by Dino Mašić

Since Specialization
Citations

This map shows the geographic impact of Dino Mašić'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 Dino Mašić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dino Mašić more than expected).

Fields of papers citing papers by Dino Mašić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dino Mašić. 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 Dino Mašić. The network helps show where Dino Mašić may publish in the future.

Co-authorship network of co-authors of Dino Mašić

This figure shows the co-authorship network connecting the top 25 collaborators of Dino Mašić. A scholar is included among the top collaborators of Dino Mašić 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 Dino Mašić. Dino Mašić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Mašić, Dino, Marian Case, David McDonald, et al.. (2022). Hyperactive CREB subpopulations increase during therapy in pediatric B-lineage acute lymphoblastic leukemia. Haematologica. 108(4). 981–992. 6 indexed citations
2.
Doan, Minh, Marian Case, Dino Mašić, et al.. (2020). Label‐Free Leukemia Monitoring by Computer Vision. Cytometry Part A. 97(4). 407–414. 43 indexed citations
3.
Matheson, Elizabeth, Huw D. Thomas, Marian Case, et al.. (2019). Glucocorticoids and selumetinib are highly synergistic in RAS pathway-mutated childhood acute lymphoblastic leukemia through upregulation of BIM. Haematologica. 104(9). 1804–1811. 21 indexed citations
4.
Doan, Minh, Marian Case, Dino Mašić, et al.. (2017). Label-Free Analyses of Minimal Residual Disease in ALL Using Deep Learning and Imaging Flow Cytometry. Blood. 130. 1437–1437. 2 indexed citations
5.
Russell, Lisa J., Amir Enshaei, Lisa Jones, et al.. (2014). IGH @ Translocations Are Prevalent in Teenagers and Young Adults With Acute Lymphoblastic Leukemia and Are Associated With a Poor Outcome. Journal of Clinical Oncology. 32(14). 1453–1462. 57 indexed citations
6.
7.
Moorman, Anthony V., Claire Schwab, Hannah Ensor, et al.. (2012). IGH@ Translocations, CRLF2 Deregulation, and Microdeletions in Adolescents and Adults With Acute Lymphoblastic Leukemia. Journal of Clinical Oncology. 30(25). 3100–3108. 88 indexed citations
8.
Rand, Vikki, Helen Parker, Lisa J. Russell, et al.. (2011). Genomic characterization implicates iAMP21 as a likely primary genetic event in childhood B-cell precursor acute lymphoblastic leukemia. Blood. 117(25). 6848–6855. 83 indexed citations
9.
Ensor, Hannah, Claire Schwab, Lisa J. Russell, et al.. (2010). Demographic, clinical, and outcome features of children with acute lymphoblastic leukemia and CRLF2 deregulation: results from the MRC ALL97 clinical trial. Blood. 117(7). 2129–2136. 104 indexed citations
10.
George, David, Dino Mašić, Olivier Sparagano, & Jonathan Guy. (2008). Variation in chemical composition and acaricidal activity against Dermanyssus gallinae of four eucalyptus essential oils. Experimental and Applied Acarology. 48(1-2). 43–50. 22 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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2026