Ronan Foley

3.4k total citations
52 papers, 1.9k citations indexed

About

Ronan Foley is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Ronan Foley has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Hematology, 17 papers in Immunology and 14 papers in Molecular Biology. Recurrent topics in Ronan Foley's work include Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (10 papers) and Multiple Myeloma Research and Treatments (7 papers). Ronan Foley is often cited by papers focused on Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (10 papers) and Multiple Myeloma Research and Treatments (7 papers). Ronan Foley collaborates with scholars based in Canada, United States and Australia. Ronan Foley's co-authors include Paul M. O’Byrne, Judah A. Denburg, Jack Gauldie, Sandra C. Dorman, Mark D. Inman, Mickie Bhatia, Brian Leber, Roma Sehmi, Allison L. Boyd and Anargyros Xenocostas and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ronan Foley

47 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronan Foley Canada 21 817 644 447 384 354 52 1.9k
Akihiko Yokohama Japan 19 594 0.7× 794 1.2× 130 0.3× 333 0.9× 379 1.1× 135 1.9k
Kazuhiro Kurasawa Japan 26 324 0.4× 1.1k 1.8× 264 0.6× 359 0.9× 207 0.6× 81 2.4k
Gandhi Damaj France 28 501 0.6× 830 1.3× 118 0.3× 329 0.9× 514 1.5× 125 2.3k
K Kaushansky United States 18 919 1.1× 715 1.1× 121 0.3× 663 1.7× 394 1.1× 24 2.2k
Satoshi Kubo Japan 32 454 0.6× 1.2k 1.8× 157 0.4× 328 0.9× 491 1.4× 157 3.0k
V C Broudy United States 14 1.1k 1.3× 603 0.9× 193 0.4× 323 0.8× 214 0.6× 19 1.8k
Jean‐Marc Massé France 18 809 1.0× 346 0.5× 88 0.2× 423 1.1× 195 0.6× 36 1.6k
Hermine Agis Austria 32 875 1.1× 1.9k 2.9× 527 1.2× 824 2.1× 403 1.1× 123 3.2k
Akito Tsutsumi Japan 28 634 0.8× 1.2k 1.9× 140 0.3× 365 1.0× 217 0.6× 101 2.6k
H. Terence Cook United Kingdom 22 236 0.3× 824 1.3× 165 0.4× 370 1.0× 124 0.4× 45 2.3k

Countries citing papers authored by Ronan Foley

Since Specialization
Citations

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

Fields of papers citing papers by Ronan Foley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronan Foley

This figure shows the co-authorship network connecting the top 25 collaborators of Ronan Foley. A scholar is included among the top collaborators of Ronan Foley 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 Ronan Foley. Ronan Foley 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.
2.
Foley, Ronan & John Kuruvilla. (2024). Identification of a Patient Suitable for CAR-T Cell Therapy in the Outpatient Setting: A Vodcast and Case Example. Oncology and Therapy. 12(2). 239–245.
3.
Boyd, Allison L., Justin Lu, Jennifer Reid, et al.. (2023). Leukemic progenitor compartment serves as a prognostic measure of cancer stemness in patients with acute myeloid leukemia. Cell Reports Medicine. 4(7). 101108–101108. 6 indexed citations
4.
Ross, Catherine, et al.. (2022). Automated bone marrow cytology using deep learning to generate a histogram of cell types. SHILAP Revista de lepidopterología. 2(1). 45–45. 43 indexed citations
5.
6.
Boyd, Allison L., Lili Aslostovar, Jennifer Reid, et al.. (2018). Identification of Chemotherapy-Induced Leukemic-Regenerating Cells Reveals a Transient Vulnerability of Human AML Recurrence. Cancer Cell. 34(3). 483–498.e5. 111 indexed citations
7.
Foley, Ronan, et al.. (2017). The relationship of CD34+ dosage and platelet recovery following high dose chemotherapy and autologous CD34+ reinfusion in multiple myeloma. Transfusion and Apheresis Science. 56(4). 552–557. 3 indexed citations
8.
9.
Baatjes, Adrian J., Sandra C. Dorman, Roma Sehmi, et al.. (2008). In Vitro Effects of Budesonide on Eosinophil-Basophil Lineage Commitment. The Open Respiratory Medicine Journal. 2(1). 60–66. 10 indexed citations
10.
Martin, Paul J., Daniel J. Weisdorf, Donna Przepiorka, et al.. (2006). National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: VI. Design of Clinical Trials Working Group Report. Biology of Blood and Marrow Transplantation. 12(5). 491–505. 122 indexed citations
11.
Arnold, Donald M., Peter B. Neame, Ralph M. Meyer, et al.. (2005). Autologous peripheral blood progenitor cells are a potential source of parvovirus B19 infection. Transfusion. 45(3). 394–398. 16 indexed citations
12.
Dorman, Sandra C., Roma Sehmi, Gail M. Gauvreau, et al.. (2003). Kinetics of Bone Marrow Eosinophilopoiesis and Associated Cytokines after Allergen Inhalation. American Journal of Respiratory and Critical Care Medicine. 169(5). 565–572. 69 indexed citations
13.
Kouroukis, C. Tom, Bernie J. OʼBrien, A. Benger, et al.. (2003). Cost-effectiveness of a Transplantation Strategy Compared to Melphalan and Prednisone in Younger Patients with Multiple Myeloma. Leukemia & lymphoma. 44(1). 29–37. 18 indexed citations
14.
Wood, Lorna, Roma Sehmi, Sandra C. Dorman, et al.. (2002). Allergen-induced Increases in Bone Marrow T Lymphocytes and Interleukin-5 Expression in Subjects with Asthma. American Journal of Respiratory and Critical Care Medicine. 166(6). 883–889. 75 indexed citations
15.
Braccioni, Fausto, Sandra C. Dorman, Paul M. O’Byrne, et al.. (2002). The effect of cysteinyl leukotrienes on growth of eosinophil progenitors from peripheral blood and bone marrow of atopic subjects. Journal of Allergy and Clinical Immunology. 110(1). 96–101. 74 indexed citations
16.
Wood, Lorna, Mark D. Inman, R. M. Watson, et al.. (1998). Changes in Bone Marrow Inflammatory Cell Progenitors after Inhaled Allergen in Asthmatic Subjects. American Journal of Respiratory and Critical Care Medicine. 157(1). 99–105. 114 indexed citations
17.
Couban, Stephen, George Dranitsaris, Pantelis Andreou, et al.. (1998). Clinical and economic analysis of allogeneic peripheral blood progenitor cell transplants: a Canadian perspective. Bone Marrow Transplantation. 22(12). 1199–1205. 18 indexed citations
18.
Foley, Ronan, et al.. (1998). Monitoring soluble interleukin-2 receptor levels in related and unrelated donor allogeneic bone marrow transplantation. Bone Marrow Transplantation. 21(8). 769–773. 57 indexed citations
19.
Foley, Ronan, R. H. Ellis, Ian Walker, et al.. (1997). Intramarrow Cytokine Gene Transfer by Adenoviral Vectors in Dogs. Human Gene Therapy. 8(5). 545–553. 14 indexed citations
20.
Gauldie, Jack, Frank L. Graham, Zhou Xing, et al.. (1996). Adenovirus‐Vector‐Mediated Cytokine Gene Transfer to Lung Tissuea. Annals of the New York Academy of Sciences. 796(1). 235–244. 16 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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