Ian Titley

2.6k total citations · 1 hit paper
27 papers, 1.6k citations indexed

About

Ian Titley is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Ian Titley has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Hematology and 8 papers in Cancer Research. Recurrent topics in Ian Titley's work include Chronic Myeloid Leukemia Treatments (6 papers), Cancer Genomics and Diagnostics (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Ian Titley is often cited by papers focused on Chronic Myeloid Leukemia Treatments (6 papers), Cancer Genomics and Diagnostics (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Ian Titley collaborates with scholars based in United Kingdom, United States and Italy. Ian Titley's co-authors include Mel Greaves, Tariq Enver, Robert E. Kearney, Frederik W. van Delft, Caroline M. Bateman, Helen Clayton, María dM Vivanco, Yanping Guo, John Swansbury and Susan Colman and has published in prestigious journals such as Nature, Blood and Cancer Research.

In The Last Decade

Ian Titley

26 papers receiving 1.6k citations

Hit Papers

Genetic variegation of clonal architecture and propagatin... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Titley United Kingdom 14 854 669 535 502 212 27 1.6k
Jonathan Grim United States 8 1.7k 2.0× 766 1.1× 212 0.4× 283 0.6× 197 0.9× 9 2.1k
Helena Kempski United Kingdom 22 747 0.9× 389 0.6× 344 0.6× 820 1.6× 622 2.9× 42 2.0k
Matthew C. Stubbs United States 12 1.3k 1.6× 502 0.8× 281 0.5× 912 1.8× 145 0.7× 45 1.9k
Woojoong Lee South Korea 3 1.3k 1.5× 422 0.6× 240 0.4× 476 0.9× 556 2.6× 8 2.0k
Véronique Della Valle France 13 764 0.9× 612 0.9× 122 0.2× 506 1.0× 283 1.3× 16 1.4k
Domenica Ronchetti Italy 23 1.2k 1.5× 340 0.5× 616 1.2× 578 1.2× 57 0.3× 54 1.6k
Camille Lobry United States 14 1.1k 1.3× 374 0.6× 320 0.6× 357 0.7× 96 0.5× 25 1.8k
Niccolò Bolli Italy 27 1.6k 1.9× 408 0.6× 482 0.9× 1.5k 3.0× 223 1.1× 87 2.4k
Armando G. Poeppl Canada 7 951 1.1× 534 0.8× 383 0.7× 922 1.8× 141 0.7× 10 1.9k
C. O'Keefe United States 13 831 1.0× 599 0.9× 148 0.3× 486 1.0× 64 0.3× 18 1.5k

Countries citing papers authored by Ian Titley

Since Specialization
Citations

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

Fields of papers citing papers by Ian Titley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Titley

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Titley. A scholar is included among the top collaborators of Ian Titley 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 Ian Titley. Ian Titley 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.
Walters, Zoë S., et al.. (2025). Transcriptional regulation of genes by MYCN in PAX3::FOXO1-positive rhabdomyosarcomas and their roles in cell cycle progression. ePrints Soton (University of Southampton). 5. 100230–100230.
2.
Furness, Caroline L., Marcela Braga Mansur, Victoria Weston, et al.. (2018). The subclonal complexity of STIL-TAL1+ T-cell acute lymphoblastic leukaemia. Leukemia. 32(9). 1984–1993. 23 indexed citations
3.
Potter, Nicola, Farideh Miraki‐Moud, Luca Ermini, et al.. (2018). Single cell analysis of clonal architecture in acute myeloid leukaemia. Leukemia. 33(5). 1113–1123. 56 indexed citations
4.
Alpár, Donát, Dörte Wren, Luca Ermini, et al.. (2014). Clonal origins of ETV6-RUNX1+ acute lymphoblastic leukemia: studies in monozygotic twins. Leukemia. 29(4). 839–846. 38 indexed citations
5.
Melchor, Lorenzo, Annamaria Brioli, Christopher P. Wardell, et al.. (2014). Single-cell genetic analysis reveals the composition of initiating clones and phylogenetic patterns of branching and parallel evolution in myeloma. Leukemia. 28(8). 1705–1715. 169 indexed citations
6.
Potter, Nicola, Luca Ermini, Elli Papaemmanuil, et al.. (2013). Single-cell mutational profiling and clonal phylogeny in cancer. Genome Research. 23(12). 2115–2125. 86 indexed citations
8.
Potter, Nicola, Luca Ermini, Elli Papaemmanuil, et al.. (2012). Composite Single Cell Genetics and Clonal Phylogeny in Acute Lymphoblastic Leukaemia. Blood. 120(21). 122–122. 1 indexed citations
9.
Rizzo, Siân, Paul Mellor, Wei Dai, et al.. (2011). Ovarian Cancer Stem Cell–Like Side Populations Are Enriched Following Chemotherapy and Overexpress EZH2. Molecular Cancer Therapeutics. 10(2). 325–335. 171 indexed citations
10.
Alvares, Caroline, Tino Schenk, Toon Min, et al.. (2011). Tyrosine kinase inhibitor insensitivity of non‐cycling CD34+ human acute myeloid leukaemia cells with FMS‐like tyrosine kinase 3 mutations. British Journal of Haematology. 154(4). 457–465. 6 indexed citations
11.
Anderson, Kristina, Christoph Lutz, Frederik W. van Delft, et al.. (2010). Genetic variegation of clonal architecture and propagating cells in leukaemia. Nature. 469(7330). 356–361. 569 indexed citations breakdown →
12.
Sarker, Debashis, Paul A. Clarke, Florence I. Raynaud, et al.. (2008). Use of gene expression microarrays to identify novel pharmacodynamic biomarkers of phosphatidylinositide-3’-kinase (PI3K) inhibition. Cancer Research. 68. 3614–3614. 1 indexed citations
13.
Smalley, Matthew J., Ian Titley, & Alan Ashworth. (2005). An improved definition of mouse mammary epithelial side population cells. Cytotherapy. 7(6). 497–508. 9 indexed citations
14.
Clayton, Helen, Ian Titley, & María dM Vivanco. (2004). Growth and differentiation of progenitor/stem cells derived from the human mammary gland. Experimental Cell Research. 297(2). 444–460. 141 indexed citations
15.
Elnenaei, Manal O., Dalal Jadayel, Estella Matutes, et al.. (2001). Cyclin D1 by flow cytometry as a useful tool in the diagnosis of B-cell malignancies. Leukemia Research. 25(2). 115–123. 27 indexed citations
16.
Nishii, Kazuhiro, Deena L. Gibbons, Ian Titley, et al.. (1998). Regulation of the apoptotic response to radiation damage in B cell development. Cell Death and Differentiation. 5(1). 77–86. 15 indexed citations
17.
Chase, Andrew, Ian Titley, Lyn Healy, et al.. (1997). BCR/ABL-negative progenitors are enriched in the adherent fraction of CD34+ cells circulating in the blood of chronic phase chronic myeloid leukemia patients. Leukemia. 11(9). 1486–1492. 13 indexed citations
18.
Titley, Ian, Lyn Healy, M. Scott, T. A. S. Amos, & M. Y. Gordon. (1995). Extent of variability inherent in measurements of CD34-positive cells in different human haemopoietic tissues.. PubMed. 16(4). 611–6. 8 indexed citations
19.
Titley, Ian, D. E. H. Tee, Marie Driver, Derek Davies, & R.L. Adams. (1991). Can Flow Cytometry Reduce the Workload For Cervical Screening? the Results of A Series of 622 Specimens. Cytopathology. 2(4). 193–203. 3 indexed citations
20.
Titley, Ian, et al.. (1989). Fibreoptic bronchoscopy: An assessment of immediate cytological diagnosis using methylene blue stain. Respiratory Medicine. 83(1). 37–41. 3 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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