Graham McIlroy

836 total citations
26 papers, 376 citations indexed

About

Graham McIlroy is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Graham McIlroy has authored 26 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Graham McIlroy's work include Hematopoietic Stem Cell Transplantation (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Graham McIlroy is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Graham McIlroy collaborates with scholars based in United Kingdom, Croatia and Canada. Graham McIlroy's co-authors include Karim Raza, Gwenda Simons, Alicia Hidalgo, István Földi, Nicholas J. Gay, Jill S. Wentzell, Janine Fenton, Loretta Ford, Sarah Thomas and Jamie J. Coleman and has published in prestigious journals such as Blood, Nature Neuroscience and PLoS Genetics.

In The Last Decade

Graham McIlroy

24 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Graham McIlroy United Kingdom 10 78 74 70 66 54 26 376
Luiza Akria Israel 9 68 0.9× 11 0.1× 99 1.4× 51 0.8× 36 0.7× 30 296
R. Babela Slovakia 6 22 0.3× 12 0.2× 33 0.5× 60 0.9× 29 0.5× 23 452
María Jesús Téllez Spain 11 20 0.3× 14 0.2× 100 1.4× 184 2.8× 29 0.5× 23 585
Alexander A. Boucher United States 10 52 0.7× 13 0.2× 30 0.4× 74 1.1× 46 0.9× 34 393
Tiffanny Newman United States 9 66 0.8× 35 0.5× 69 1.0× 33 0.5× 12 0.2× 13 501
Charles P. Dzamalala Malawi 15 81 1.0× 15 0.2× 308 4.4× 35 0.5× 23 0.4× 26 826
Stefania Cheli Italy 12 18 0.2× 13 0.2× 105 1.5× 43 0.7× 32 0.6× 37 437
Chaichon Locharernkul Thailand 9 54 0.7× 37 0.5× 14 0.2× 49 0.7× 11 0.2× 17 562
Tejaswi Kandula Australia 8 10 0.1× 30 0.4× 147 2.1× 61 0.9× 42 0.8× 21 438
Marcello Aragona Italy 12 20 0.3× 24 0.3× 66 0.9× 29 0.4× 19 0.4× 24 546

Countries citing papers authored by Graham McIlroy

Since Specialization
Citations

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

Fields of papers citing papers by Graham McIlroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham McIlroy

This figure shows the co-authorship network connecting the top 25 collaborators of Graham McIlroy. A scholar is included among the top collaborators of Graham McIlroy 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 Graham McIlroy. Graham McIlroy 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.
McIlroy, Graham, Charlotte Gaskell, Aimee Jackson, et al.. (2025). Fedratinib combined with ropeginterferon alfa-2b in patients with myelofibrosis (FEDORA): study protocol for a multicentre, open-label, Bayesian phase II trial. BMC Cancer. 25(1). 56–56. 1 indexed citations
2.
Gudgeon, Nancy, Emma L. Bishop, Graham McIlroy, et al.. (2025). mTOR activity and metabolic reprogramming of CD8+ T cells is impaired under hypoxia and within the multiple myeloma bone marrow. Blood Advances. 9(23). 6175–6188.
3.
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Fox, Christopher P., Sridhar Chaganti, Graham McIlroy, et al.. (2024). The management of newly diagnosed large B‐cell lymphoma: A British Society for Haematology Guideline. British Journal of Haematology. 204(4). 1178–1192. 8 indexed citations
5.
McIlroy, Graham, Sylvia Feyler, Rakesh Popat, et al.. (2023). Delayed diagnosis resulting in increased disease burden in multiple myeloma: the legacy of the COVID-19 pandemic. Blood Cancer Journal. 13(1). 38–38. 8 indexed citations
6.
Parry, Helen, Rachel Bruton, Panagiota Sylla, et al.. (2022). Vaccine Subtype and Dose Interval Determine Immunogenicity of Primary Series COVID-19 Vaccines in Older People. SSRN Electronic Journal. 1 indexed citations
7.
Parry, Helen, Rachel Bruton, Graham McIlroy, et al.. (2022). Vaccine subtype and dose interval determine immunogenicity of primary series COVID-19 vaccines in older people. Cell Reports Medicine. 3(9). 100739–100739. 6 indexed citations
8.
Parry, Helen, Graham McIlroy, Rachel Bruton, et al.. (2021). Antibody responses after first and second Covid-19 vaccination in patients with chronic lymphocytic leukaemia. Blood Cancer Journal. 11(7). 136–136. 74 indexed citations
9.
Malladi, Ram, Ikhlaaq Ahmed, Graham McIlroy, et al.. (2021). Azacitidine for the treatment of steroid-refractory chronic graft-versus-host disease: the results of the phase II AZTEC clinical trial. Bone Marrow Transplantation. 56(12). 2948–2955.
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McIlroy, Graham, Behrad Barmayehvar, Sivesh K. Kamarajah, et al.. (2020). Improved outcomes with allogeneic compared with autologous stem cell transplantation in aggressive T‐cell lymphoma. European Journal Of Haematology. 105(4). 514–516. 2 indexed citations
12.
Lloyd, Rebecca, Emmanouil Nikolousis, Bhuvan Kishore, et al.. (2020). Autoimmune Cytopenias Developing Late Post Alemtuzumab-Based Allogeneic Stem Cell Transplantation: Presentation of Short Case Series from a Transplant Center. Cell Transplantation. 29. 2790874712–2790874712. 1 indexed citations
13.
McIlroy, Graham, et al.. (2020). Management of venous thromboembolism in patients experiencing direct oral anticoagulant treatment failure: a single-center review of practice and outcomes. Journal of Thrombosis and Thrombolysis. 49(3). 441–445. 5 indexed citations
14.
Kinsella, Francesca, Charlotte Inman, Y L Tracey Chan, et al.. (2019). Very early lineage-specific chimerism after reduced intensity stem cell transplantation is highly predictive of clinical outcome for patients with myeloid disease. Leukemia Research. 83. 106173–106173. 9 indexed citations
15.
Földi, István, Jill S. Wentzell, Manuel G. Forero, et al.. (2017). Kek-6: A truncated-Trk-like receptor for Drosophila neurotrophin 2 regulates structural synaptic plasticity. PLoS Genetics. 13(8). e1006968–e1006968. 9 indexed citations
16.
McIlroy, Graham, et al.. (2016). Are online symptoms checkers useful for patients with inflammatory arthritis?. BMC Musculoskeletal Disorders. 17(1). 54 indexed citations
17.
McIlroy, Graham, et al.. (2016). Acute myocardial infarction, associated with the use of a synthetic adamantyl-cannabinoid: a case report. BMC Pharmacology and Toxicology. 17(1). 2–2. 28 indexed citations
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McIlroy, Graham, István Földi, Jill S. Wentzell, et al.. (2013). Toll-6 and Toll-7 function as neurotrophin receptors in the Drosophila melanogaster CNS. Nature Neuroscience. 16(9). 1248–1256. 81 indexed citations
20.
Hidalgo, Alicia, et al.. (2010). Trophic neuron‐glia interactions and cell number adjustments in the fruit fly. Glia. 59(9). 1296–1303. 17 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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